FN Thomson Reuters Web of Science™ VR 1.0 PT J AU Milojevic, S Sugimoto, CR Lariviere, V Thelwall, M Dinga, Y AF Milojevic, Stasa Sugimoto, Cassidy R. Lariviere, Vincent Thelwall, Mike Dinga, Ying TI The role of handbooks in knowledge creation and diffusion: A case of science and technology studies SO JOURNAL OF INFORMETRICS LA English DT Article DE Genres; STS; Handbooks ID SOCIAL-SCIENCES; HUMANITIES; BASE; COMMUNICATION; INFORMATION; COCITATION; INDEX AB Genre is considered to be an important element in scholarly communication and in the practice of scientific disciplines. However, scientometric studies have typically focused on a single genre, the journal article. The goal of this study is to understand the role that handbooks play in knowledge creation and diffusion and their relationship with the genre of journal articles, particularly in highly interdisciplinary and emergent social science and humanities disciplines. To shed light on these questions we focused on handbooks and journal articles published over the last four decades belonging to the research area of science and technology studies (STS), broadly defined. To get a detailed picture we used the full-text of five handbooks (500,000 words) and a well-defined set of 11,700 STS articles. We confirmed the methodological split of STS into qualitative and quantitative (scientometric) approaches. Even when the two traditions explore similar topics (e.g., science and gender) they approach them from different starting points. The change in cognitive foci in both handbooks and articles partially reflects the changing trends in STS research, often driven by technology. Using text similarity measures we found that, in the case of STS, handbooks play no special role in either focusing the research efforts or marking their decline. 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C., 2000, SCI COMMUNICATION HI WHITE HD, 1982, J DOC, V38, P255, DOI 10.1108/eb026731 NR 49 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 EI 1875-5879 J9 J INFORMETR JI J. Informetr. PD JUL PY 2014 VL 8 IS 3 BP 693 EP 709 DI 10.1016/j.joi.2014.064.003 PG 17 WC Information Science & Library Science SC Information Science & Library Science GA AO5IE UT WOS:000341376700022 ER PT J AU Stare, J Kejzar, N AF Stare, Janez Kejzar, Natasa TI On standardization of the Activity Index SO JOURNAL OF INFORMETRICS LA English DT Article DE Relative Specialization Index; Activity Index AB Relative Specialization Index (RSI) was introduced as a simple transformation of the Activity Index (AI), the aim of this transformation being standardization of AI, and therefore more straightforward interpretation. RSI is believed to have values between -1 and 1, with -1 meaning no activity of the country (institution) in a certain scientific field, and 1 meaning that the country is only active in the given field. While it is obvious from the definition of RSI that it can never be 1, it is less obvious, and essentially unknown, that its upper limit can be quite far from 1, depending on the scientific field. This is a consequence of the fact that AI has different upper limits for different scientific fields. This means that comparisons of RSIs, or AIs, across fields can be misleading. We therefore believe that RSI should not be used at all. We also show how an appropriate standardization of AI can be achieved. (C) 2014 Elsevier Ltd. All rights reserved. C1 [Stare, Janez; Kejzar, Natasa] Univ Ljubljana, Fac Med, Inst Biostat & Med Informat, SI-1000 Ljubljana, Slovenia. RP Kejzar, N (reprint author), Univ Ljubljana, Fac Med, Inst Biostat & Med Informat, Vrazov Trg 2, SI-1000 Ljubljana, Slovenia. 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TI Investigations on the step-based research indices of Chambers and Miller SO JOURNAL OF INFORMETRICS LA English DT Article DE Scientific impact measure; Citation analysis; Axiomatization ID HIRSCH-INDEX; AXIOMATIC CHARACTERIZATION; IMPACT MEASURES; H-INDEX AB In a recent paper, Chambers and Miller introduced two fundamental axioms for scientific research indices. We perform a detailed analysis of these two axioms, thereby providing clean combinatorial characterizations of the research indices that satisfy these axioms and of the so-called step-based indices. We single out the staircase indices as a particularly simple subfamily of the step-based indices, and we provide a simple axiomatic characterization for them. (C) 2014 Elsevier Ltd. All rights reserved. C1 Tech Univ Eindhoven, Dept Math & Comp Sci, NL-5600 MB Eindhoven, Netherlands. RP Woeginger, GJ (reprint author), Tech Univ Eindhoven, Dept Math & Comp Sci, POB 513, NL-5600 MB Eindhoven, Netherlands. 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Informetr. PD JUL PY 2014 VL 8 IS 3 BP 659 EP 666 DI 10.1016/j.joi.2014.06.001 PG 8 WC Information Science & Library Science SC Information Science & Library Science GA AO5IE UT WOS:000341376700019 ER PT J AU Wu, Y Fu, TZJ Chiu, DM AF Wu, Yan Fu, Tom Z. J. Chiu, Dah Ming TI Generalized preferential attachment considering aging SO JOURNAL OF INFORMETRICS LA English DT Article DE Preferential attachment; Aging effect; Citation network ID CITATION NETWORKS; EVOLVING NETWORKS; CITING BEHAVIOR; PUBLICATION; STATISTICS; EMERGENCE; EVOLUTION; TOPOLOGY; MODELS; AGE AB Preferential Attachment (PA) models the scientific citation process. In the PA model, a new paper attaches itself to the citation network based only on the popularity of the currently existing papers. This invariably leads to a network whose degree distribution satisfies the Power Law. Yet, empirical results show that paper age should also play a role in the citation process. In other words, when references are chosen for a new paper, the age of an existing paper may also affect the choice for citing. In this paper, we derive a generalized PA model that includes the effect of aging, with analytical solution. Such a model can be used to analyze the competing influence of preferential attachment and aging effect quantitatively in citation process and explain differences in various research domains by the extent of aging. It may also serve as a general model of network formation. (C) 2014 Elsevier Ltd. All rights reserved. C1 [Wu, Yan; Chiu, Dah Ming] Chinese Univ Hong Kong, Dept Informat Engn, Shatin, Hong Kong, Peoples R China. [Fu, Tom Z. J.] Illinois Singapore Pte Ltd, Adv Digital Sci Ctr, Singapore, Singapore. RP Chiu, DM (reprint author), Chinese Univ Hong Kong, Dept Informat Engn, Shatin, Hong Kong, Peoples R China. 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PD JUL PY 2014 VL 8 IS 3 BP 594 EP 605 DI 10.1016/j.joi.2014.05.001 PG 12 WC Information Science & Library Science SC Information Science & Library Science GA AO5IE UT WOS:000341376700013 ER PT J AU Xu, H Martin, E Mahidadia, A AF Xu, Han Martin, Eric Mahidadia, Ashesh TI Contents and time sensitive document ranking of scientific literature SO JOURNAL OF INFORMETRICS LA English DT Article DE Scientific document ranking; PageRank; Latent Dirichlet Allocation; Topical longevity; Information freshness; Local damping factor ID PAGERANK ALGORITHM; CITATION ANALYSIS; IMPACT AB A new link-based document ranking framework is devised with at its heart, a contents and time sensitive random literature explorer designed to more accurately model the behaviour of readers of scientific documents. In particular, our ranking framework dynamically adjusts its random walk parameters according to both contents and age of encountered documents, thus incorporating the diversity of topics and how they evolve over time into the score of a scientific publication. Our random walk framework results in a ranking of scientific documents which is shown to be more effective in facilitating literature exploration than PageRank measured against a proxy gold standard based on papers' potential usefulness in facilitating later research. One of its many strengths lies in its practical value in reliably retrieving and placing promisingly useful papers at the top of its ranking. (C) 2014 Elsevier Ltd. All rights reserved. C1 [Xu, Han; Martin, Eric; Mahidadia, Ashesh] Univ New S Wales, Sch Comp Sci & Engn, Sydney, NSW, Australia. RP Xu, H (reprint author), Univ New S Wales, Sch Comp Sci & Engn, Sydney, NSW, Australia. 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PD JUL PY 2014 VL 8 IS 3 BP 546 EP 561 DI 10.1016/j.joi.2014.04.006 PG 16 WC Information Science & Library Science SC Information Science & Library Science GA AO5IE UT WOS:000341376700009 ER PT J AU Yang, GL Rousseau, R Yang, LY Liu, WB AF Yang, Guo-liang Rousseau, Ronald Yang, Li-ying Liu, Wen-bin TI A study on directional returns to scale SO JOURNAL OF INFORMETRICS LA English DT Article DE Returns to scale (RTS); Directional returns to scale; Congestion; Directional congestion; Evaluation of research institutes ID DATA ENVELOPMENT ANALYSIS; SCIENTIFIC-RESEARCH SYSTEM; RESEARCH-AND-DEVELOPMENT; OPEN LABS; KEY LABS; CONGESTION; DEA; SIZE; PERFORMANCE; INDICATORS AB This paper investigates directional returns to scale (RTS) and illustrates this approach by studying biological institutes of the Chinese Academy of Sciences (CAS). Using the following input-output indicators are proposed: senior professional and technical staffs, middle level and junior professional and technical staffs, research expenditure on personnel salaries and other expenditures, SCI papers, high-quality papers, graduates training and intellectual properties, the paper uses the methods recently proposed by Yang to analyze the directional returns to scale and the effect of directional congestion of biological institutes in Chinese Academy of Sciences. Based on our analysis we come to the following findings: (1) we detect the regime of directional returns to scale (increasing, constant, decreasing) for each biological institute. This information can be used as the basis for decision-making about organizational adjustment; (2) congestion and directional congestion occurs in several biological institutes. In such cases the outputs of these institutes decrease when the inputs increase. 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Q., 2011, STUDIES IN SCIENCE O, V29, P1835 Zhang DQ, 2011, RES POLICY, V40, P875, DOI 10.1016/j.respol.2011.03.010 NR 41 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 EI 1875-5879 J9 J INFORMETR JI J. Informetr. PD JUL PY 2014 VL 8 IS 3 BP 628 EP 641 DI 10.1016/j.joi.2014.05.004 PG 14 WC Information Science & Library Science SC Information Science & Library Science GA AO5IE UT WOS:000341376700016 ER PT J AU Akhmat, G Zaman, K Shukui, T Javed, Y Khan, MM AF Akhmat, Ghulam Zaman, Khalid Shukui, Tan Javed, Yasir Khan, Muhammad Mushtaq TI Relationship between educational indicators and research outcomes in a panel of top twenty nations: Windows of opportunity SO JOURNAL OF INFORMETRICS LA English DT Article DE Higher education; Research outputs; R&D expenditures; Panel cointegration ID UNIT-ROOT TESTS; FINITE-SAMPLE PROPERTIES; RESEARCH PRODUCTIVITY; HETEROGENEOUS PANELS; ECONOMIC-GROWTH; COINTEGRATION AB The objective of the study is to examine the empirical relationship between educational indicators and research outcomes in top twenty nations of the World in terms of number of publications, citations and patents. The literature on higher education is useful in expressing the general and visible characteristics of a research domain, but cannot reveal the possible interaction between educational reforms and research outcomes. In order to overcome this limitation, the current study employed a panel cointegration technique to evaluate the long-run relationship between educational indicators and research productivity over a period of 1980-2011. The results reveal that educational indicators act as an important driver to increase research productivity in the panel of selected countries. The most promising educational factors i.e., higher education enrolment increases GDP and number of publications by 0.898% and 1.425%, respectively. Similarly, higher education expenditures per student increases research and development (R&D) expenditures, number of citations and number of patents by 1.128%, 0.968% and 0.714%, respectively. Finally, increasing school-life expectancy contributed to researchers in R&D by 0.401%. The study concludes that there is a window of opportunity to equip the youth with necessary skills to ensure a sustainable future for the nations. Higher education empowers and enables students to compete in a highly competitive and interconnected world through research and innovations, which are the drivers of new ideas, businesses and economic growth. (C) 2014 Elsevier Ltd. All rights reserved. C1 [Akhmat, Ghulam; Shukui, Tan] Huazhong Univ Sci & Technol, Coll Publ Adm, Wuhan, Peoples R China. [Zaman, Khalid; Javed, Yasir] COMSATS Inst Informat Technol, Dept Management Sci, Abbottabad, Pakistan. [Khan, Muhammad Mushtaq] COMSATS Inst Informat Technol, Dept Humanities, Abbottabad, Pakistan. RP Zaman, K (reprint author), COMSATS Inst Informat Technol, Dept Management Sci, Abbottabad, Pakistan. 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Informetr. PD APR PY 2014 VL 8 IS 2 BP 349 EP 361 DI 10.1016/j.joi.2014.01.007 PG 13 WC Information Science & Library Science SC Information Science & Library Science GA AG7PK UT WOS:000335609900006 ER PT J AU Brzezinski, M AF Brzezinski, Michal TI Empirical modeling of the impact factor distribution SO JOURNAL OF INFORMETRICS LA English DT Article DE Impact factor; Two-exponent law; Dagum model; Singh-Maddala model; Maximum likelihood estimation; Model selection ID MADDALA INCOME DISTRIBUTIONS; SIZE DISTRIBUTION AB The distribution of impact factors has been modeled in the recent informetric literature using two-exponent law proposed by Mansilla, Koppen, Cocho, and Miramontes (2007). This paper shows that two distributions widely-used in economics, namely the Dagum and Singh-Maddala models, possess several advantages over the two-exponent model. Compared to the latter, the former models give as good as or slightly better fit to data on impact factors in eight important scientific fields. In contrast to the two-exponent model, both proposed distributions have closed-from probability density functions and cumulative distribution functions, which facilitates fitting these distributions to data and deriving their statistical properties. (C) 2014 Elsevier Ltd. All rights reserved. C1 Univ Warsaw, Fac Econ Sci, PL-00325 Warsaw, Poland. RP Brzezinski, M (reprint author), Univ Warsaw, Fac Econ Sci, PL-00325 Warsaw, Poland. 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Batagelj, Vladimir Vargas-Quesada, Benjamin Moya-Anegon, Felix Chinchilla-Rodriguez, Zaida TI Optimizing SCImago Journal & Country Rank classification by community detection SO JOURNAL OF INFORMETRICS LA English DT Article DE Community detection; Clustering; SCImago Journal & Country Rank; Journal classification; Citation-based network ID SUBJECT CLASSIFICATION; SCIENCE; CITATION; INFORMATION; TEXT AB Subject classification arises as an important topic for bibliometrics and scientometrics, searching to develop reliable and consistent tools and outputs. Such objectives also call for a well delimited underlying subject classification scheme that adequately reflects scientific fields. Within the broad ensemble of classification techniques, clustering analysis is one of the most successful. Two clustering algorithms based on modularity the VOS and Louvain methods are presented here for the purpose of updating and optimizing the journal classification of the SCImago Journal & Country Rank (SJR) platform. We used network analysis and Pajek visualization software to run both algorithms on a network of more than 18,000 SJR journals combining three citation-based measures of direct citation, co-citation and bibliographic coupling. The set of clusters obtained was termed through category labels assigned to SJR journals and significant words from journal titles. Despite the fact that both algorithms exhibited slight differences in performance, the results show a similar behaviour in grouping journals. Consequently, they are deemed to be appropriate solutions for classification purposes. The two newly generated algorithm-based classifications were compared to other bibliometric classification systems, including the original SJR and WoS Subject Categories, in order to validate their consistency, adequacy and accuracy. In addition to some noteworthy differences, we found a certain coherence and homogeneity among the four classification systems analysed. (C) 2014 Elsevier Ltd. All rights reserved. C1 [Gomez-Nunez, Antonio J.] CSIC, SCImago Res Grp Associated Unit, Fac Commun & Documentat, Granada 18071, Spain. [Batagelj, Vladimir] Univ Ljubljana, Fac Math & Phys, Ljubljana 1000, Slovenia. [Vargas-Quesada, Benjamin] Univ Granada, Dept Informat & Commun, Fac Commun & Documentat, E-18071 Granada, Spain. [Moya-Anegon, Felix; Chinchilla-Rodriguez, Zaida] CSIC, Inst Publ Goods & Policies, Madrid 28037, Spain. RP Gomez-Nunez, AJ (reprint author), CSIC, SCImago Res Grp Associated Unit, Fac Commun & Documentat, Campus Cartuja S-N, Granada 18071, Spain. 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Informetr. PD APR PY 2014 VL 8 IS 2 BP 369 EP 383 DI 10.1016/j.joi.2014.01.011 PG 15 WC Information Science & Library Science SC Information Science & Library Science GA AG7PK UT WOS:000335609900008 ER PT J AU Kaur, J Radicchi, F Menczer, F AF Kaur, Jasleen Radicchi, Filippo Menczer, Filippo TI On the use of sampling statistics to advance bibliometrics SO JOURNAL OF INFORMETRICS LA English DT Letter ID UNIVERSALITY; INDICATORS; IMPACT C1 [Kaur, Jasleen; Radicchi, Filippo; Menczer, Filippo] Indiana Univ, Sch Informat & Comp, Ctr Complex Networks & Syst Res, Bloomington, IN 47405 USA. RP Kaur, J (reprint author), Indiana Univ, Sch Informat & Comp, Ctr Complex Networks & Syst Res, Bloomington, IN 47405 USA. EM jakaur@umail.iu.edu RI Radicchi, Filippo/B-4407-2009 CR Bornmann L, 2014, J INFORMETR, V8, P273, DOI 10.1016/j.joi.2013.12.006 Castellano C, 2009, ARCH IMMUNOL THER EX, V57, P85, DOI 10.1007/s00005-009-0014-0 Radicchi F, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0033833 Harzing A. 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PD APR PY 2014 VL 8 IS 2 BP 419 EP 420 DI 10.1016/j.joi.2014.01.010 PG 2 WC Information Science & Library Science SC Information Science & Library Science GA AG7PK UT WOS:000335609900012 ER PT J AU Klavans, R Boyack, KW AF Klavans, Richard Boyack, Kevin W. TI Mapping altruism SO JOURNAL OF INFORMETRICS LA English DT Article DE Altruism; Non-profit organizations; Topic modeling; Science mapping ID SCIENCE; COOPERATION; PERSONALITY; PUNISHMENT; EVOLUTION; EMPATHY AB A great deal of work has been done to understand how science contributes to technological innovation and medicine. This is no surprise given the amount of money invested annually in R&D. However, what is not well known is that US science (R&D) investment is only one-sixth that of the annual revenue received by non-profit organizations (NPOs) in the US. The large majority of NPO revenues are devoted to the remaining landscape of altruistic causes - those not relying as heavily on scientific inquiry. Given this broader context, one might reasonably expect the non-profit world to have been as well characterized as that of scientific research. The unfortunate truth is that no map of altruistic missions and causes exists; the landscape of altruistic activity is virtually unknown. In this paper, we present the first maps of altruistic mission space. These maps were created using the text from websites of 125,000 non-profit organizations (NPOs) in the US. The maps consist of 357 topics covering areas such as religion, education, sports, culture, human services, public policy and medical care. The role of science in this altruistic landscape is examined. Possible applications are discussed. C1 [Klavans, Richard] SciTech Strategies Inc, Berwyn, PA 19312 USA. [Boyack, Kevin W.] SciTech Strategies Inc, Albuquerque, NM 87122 USA. RP Boyack, KW (reprint author), SciTech Strategies Inc, Albuquerque, NM 87122 USA. 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PD APR PY 2014 VL 8 IS 2 BP 431 EP 447 DI 10.1016/j.joi.2014.02.002 PG 17 WC Information Science & Library Science SC Information Science & Library Science GA AG7PK UT WOS:000335609900014 ER PT J AU Tsai, CF AF Tsai, Chih-Fong TI Citation impact analysis of top ranked computer science journals and their rankings SO JOURNAL OF INFORMETRICS LA English DT Article DE Journal ranking; Impact factor; h-Index; Correlation coefficient; Computer science ID H-INDEX; DATA FUSION; QUALITY; PSYCHIATRY; BUSINESS AB Citation based approaches, such as the impact factor and h-index, have been used to measure the influence or impact of journals for journal rankings. A survey of the related literature for different disciplines shows that the level of correlation between these citation based approaches is domain dependent. We analyze the correlation between the impact factors and h-indices of the top ranked computer science journals for five different subjects. Our results show that the correlation between these citation based approaches is very low. Since using a different approach can result in different journal rankings, we further combine the different results and then re-rank the journals using a combination method. These new ranking results can be used as a reference for researchers to choose their publication outlets. (C) 2014 Elsevier Ltd. All rights reserved. C1 Natl Cent Univ, Dept Informat Management, Taipei, Taiwan. RP Tsai, CF (reprint author), Natl Cent Univ, Dept Informat Management, Taipei, Taiwan. EM cftsai@mgt.ncu.edu.tw CR Bador P, 2010, SCIENTOMETRICS, V84, P65, DOI 10.1007/s11192-009-0058-2 Garfield E, 2006, JAMA-J AM MED ASSOC, V295, P90, DOI 10.1001/jama.295.1.90 Han WD, 2010, J ANIM VET ADV, V9, P1552 Harzing AW, 2009, J AM SOC INF SCI TEC, V60, P41, DOI 10.1002/asi.20953 Harzing A. 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PD APR PY 2014 VL 8 IS 2 BP 318 EP 328 DI 10.1016/j.joi.2014.01.002 PG 11 WC Information Science & Library Science SC Information Science & Library Science GA AG7PK UT WOS:000335609900003 ER PT J AU Vinkler, P AF Vinkler, Peter TI The use of the Percentage Rank Position index for comparative evaluation of journals SO JOURNAL OF INFORMETRICS LA English DT Article DE Citation rank; Elite set; Field differences; Percentage Rank Position; Eminence of journals ID IMPACT INDICATOR AB In the present paper the Percentage Rank Position (PRP) index concluding from the principle of Similar Distribution of Information Impact in different fields of science (Vinkler, 2013), is suggested to assess journals in different research fields comparatively. The publications in the journals dedicated to a field are ranked by citation frequency, and the PRP-index of the papers in the elite set of the field is calculated. The PRP-index relates the citation rank number of the paper to the total number of papers in the corresponding set. The sum of the PRP-index of the elite papers in a journal, PRP(j,F) may represent the eminence of the journal in the field. The non-parametric and non-dimensional PRP(j,F) index of journals is believed to be comparable across fields. (C) 2014 Elsevier Ltd. All rights reserved. C1 Hungarian Acad Sci, Res Ctr Nat Sci, H-1117 Budapest, Hungary. RP Vinkler, P (reprint author), Hungarian Acad Sci, Res Ctr Nat Sci, Magyar Tudosok Krt 2, H-1117 Budapest, Hungary. EM vinkler.peter@ttk.mta.hu CR Bornmann L, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011344 Bornmann L, 2010, J INFORMETR, V4, P441, DOI 10.1016/j.joi.2010.04.004 Bornmann L, 2011, J INFORMETR, V5, P228, DOI 10.1016/j.joi.2010.10.009 Bornmann L., 2014, J AM SOC I IN PRESS Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7 GARFIELD E, 1976, NATURE, V264, P609, DOI 10.1038/264609a0 Glanzel W, 2011, SCIENTOMETRICS, V88, P297, DOI 10.1007/s11192-011-0347-4 Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102 Kosmulski M, 2013, J INFORMETR, V7, P313, DOI 10.1016/j.joi.2012.12.002 Kosmulski M, 2011, J INFORMETR, V5, P481, DOI 10.1016/j.joi.2011.03.001 Leydesdorff L, 2012, SCIENTOMETRICS, V92, P355, DOI 10.1007/s11192-012-0660-6 Leydesdorff L, 2011, J AM SOC INF SCI TEC, V62, P1370, DOI 10.1002/asi.21534 Vinkler P, 2011, J AM SOC INF SCI TEC, V62, P1963, DOI 10.1002/asi.21600 Vinkler P, 2013, J INFORMETR, V7, P712, DOI 10.1016/j.joi.2013.04.006 Vinkler P, 2009, J INF SCI, V35, P602, DOI 10.1177/0165551509103601 Vinkler P, 2010, CHANDOS INF PROF SER, P1, DOI 10.1533/9781780630250 Vinkler P, 2012, SCIENTOMETRICS, V92, P471, DOI 10.1007/s11192-012-0688-7 Vinkler P, 2012, J INFORMETR, V6, P254, DOI 10.1016/j.joi.2011.12.004 Vinkler P, 2010, SCIENTOMETRICS, V82, P461, DOI 10.1007/s11192-010-0182-z Wagner CS, 2012, RES EVALUAT, V21, P183, DOI 10.1093/reseval/rvs012 NR 20 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 EI 1875-5879 J9 J INFORMETR JI J. Informetr. PD APR PY 2014 VL 8 IS 2 BP 340 EP 348 DI 10.1016/j.joi.2014.01.001 PG 9 WC Information Science & Library Science SC Information Science & Library Science GA AG7PK UT WOS:000335609900005 ER PT J AU Walters, WH AF Walters, William H. TI Do Article Influence scores overestimate the citation impact of social science journals in subfields that are related to higher-impact natural science disciplines? SO JOURNAL OF INFORMETRICS LA English DT Article DE Bias; Eigenfactor; Interdisciplinary; Journal Citation Reports; Multidisciplinary; Web of Science ID EIGENFACTOR; INDICATOR; ECONOMICS; GEOGRAPHY; PRESTIGE; RANKING; METRICS; INDEXES AB Unlike Impact Factors (IF), Article Influence (AI) scores assign greater weight to citations that appear in highly cited journals. The natural sciences tend to have higher citation rates than the social sciences. We might therefore expect that relative to IF, AI overestimates the citation impact of social science journals in subfields that are related to (and presumably cited in) higher-impact natural science disciplines. This study evaluates that assertion through a set of simple and multiple regressions covering seven social science disciplines: anthropology, communication, economics, education, library and information science, psychology, and sociology. Contrary to expectations. AI underestimates 5IF (five-year Impact Factor) for journals in science-related subfields such as scientific communication, science education, scientometrics, biopsychology, and medical sociology. journals in these subfields have low AI scores relative to their 5IF values. Moreover, the effect of science-related status is considerable typically 0.60 5IF units or 0.50 SD. This effect is independent of the more general finding that AI scores underestimate 5IF for higher-impact journals. It is also independent of the very modest curvilinearity in the relationship between AI and 5IF. (C) 2014 Elsevier Ltd. All rights reserved. C1 Menlo Coll, Bowman Lib, Atherton, CA 94027 USA. RP Walters, WH (reprint author), Menlo Coll, Bowman Lib, 1000 El Camino Real, Atherton, CA 94027 USA. EM wwalters@menlo.edu RI Walters, William/K-8188-2012 OI Walters, William/0000-0002-7358-5244 CR Abramo G, 2012, SCIENTOMETRICS, V93, P1005, DOI 10.1007/s11192-012-0714-9 Althouse BM, 2009, J AM SOC INF SCI TEC, V60, P27, DOI 10.1002/asi.20936 Balaban AT, 2012, SCIENTOMETRICS, V92, P241, DOI 10.1007/s11192-012-0637-5 Bar-Ilan J, 2012, SCIENTOMETRICS, V92, P249, DOI 10.1007/s11192-012-0671-3 Bergstrom CT, 2008, J NEUROSCI, V28, P11433, DOI 10.1523/JNEUROSCI.0003-08.2008 Chang CL, 2011, J ECON SURV, V25, P326, DOI 10.1111/j.1467-6419.2010.00648.x Chang CL, 2011, SCIENTOMETRICS, V87, P17, DOI 10.1007/s11192-010-0335-0 Colledge L, 2010, SERIALS, V23, P215, DOI 10.1629/23215 Davis PM, 2008, J AM SOC INF SCI TEC, V59, P2186, DOI 10.1002/asi.20943 Ding Y, 2011, INFORM PROCESS MANAG, V47, P80, DOI 10.1016/j.ipm.2010.01.002 Elkins MR, 2010, SCIENTOMETRICS, V85, P81, DOI 10.1007/s11192-010-0262-0 Engemann KM, 2009, FED RESERVE BANK ST, V91, P127 Fersht A, 2009, P NATL ACAD SCI USA, V106, P6883, DOI 10.1073/pnas.0903307106 Franceschet M, 2010, J INFORMETR, V4, P239, DOI 10.1016/j.joi.2009.12.002 Franceschet M, 2010, INFORM PROCESS MANAG, V46, P555, DOI 10.1016/j.ipm.2010.01.001 Garfield E, 2007, INT MICROBIOL, V10, P65, DOI 10.2436/20.1501.01.10 Harrison S, 2004, AREA, V36, P435, DOI 10.1111/j.0004-0894.2004.00243.x Jacso P, 2010, ONLINE INFORM REV, V34, P339, DOI 10.1108/14684521011037034 Jacso P, 2010, ONLINE INFORM REV, V34, P496, DOI 10.1108/14684521011054099 Kochen M., 1974, PRINCIPLES INFORM RE, P63 Levitt JM, 2008, J AM SOC INF SCI TEC, V59, P1973, DOI 10.1002/asi.20914 Leydesdorff L, 2008, J AM SOC INF SCI TEC, V59, P278, DOI 10.1002/asi.20743 LIEBOWITZ SJ, 1984, J ECON LIT, V22, P77 Moed HF, 2010, J INFORMETR, V4, P265, DOI 10.1016/j.joi.2010.01.002 PINSKI G, 1976, INFORM PROCESS MANAG, V12, P297, DOI 10.1016/0306-4573(76)90048-0 Postma E, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000999 Rousseau R., 2009, NANJ U Smolinsky L, 2012, SCIENTOMETRICS, V91, P911, DOI 10.1007/s11192-012-0647-3 So CYK, 1998, SCIENTOMETRICS, V41, P325, DOI 10.1007/BF02459049 Turner BL, 2002, ANN ASSOC AM GEOGR, V92, P52, DOI 10.1111/1467-8306.00279 Vanclay JK, 2009, SCIENTOMETRICS, V78, P3, DOI 10.1007/s11192-008-1778-4 van Leeuwen T, 2012, SCIENTOMETRICS, V92, P443, DOI 10.1007/s11192-012-0677-x Viles H, 2004, AREA, V36, P337, DOI 10.1111/j.0004-0894.2004.00234.x Vilhena D., 2012, CORRELATION ARTICLE Waltman L, 2013, J INFORMETR, V7, P272, DOI 10.1016/j.joi.2012.11.011 Waltman L, 2010, J AM SOC INF SCI TEC, V61, P1476, DOI 10.1002/asi.21354 West J, 2010, J AM SOC INF SCI TEC, V61, P1800, DOI 10.1002/asi.21374 West J. D., 2012, MODEL RES West J. D., 2012, WHY EIGENFACTOR West JD, 2010, COLL RES LIBR, V71, P236 Yan E, 2010, J AM SOC INF SCI TEC, V61, P1635, DOI 10.1002/asi.21349 Yin CY, 2011, CURR SCI INDIA, V100, P648 NR 42 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 EI 1875-5879 J9 J INFORMETR JI J. Informetr. PD APR PY 2014 VL 8 IS 2 BP 421 EP 430 DI 10.1016/j.joi.2014.02.001 PG 10 WC Information Science & Library Science SC Information Science & Library Science GA AG7PK UT WOS:000335609900013 ER PT J AU Cerovsek, T Mikos, M AF Cerovsek, Tomo Mikos, Matjaz TI A comparative study of cross-domain research output and citations: Research impact cubes and binary citation frequencies SO JOURNAL OF INFORMETRICS LA English DT Article DE h-Index; Fields of science; Research impact cube; Binary citation index; Scientometrics; Lorenz curves ID SCIENTIFIC-RESEARCH OUTPUT; H-INDEX; BIBLIOMETRIC INDICATORS; JOURNALS; HUMANITIES; SCIENCES AB Across the various scientific domains, significant differences occur with respect to research publishing formats, frequencies and citing practices, the nature and organisation of research and the number and impact of a given domain's academic journals. Consequently, differences occur in the citations and h-indices of the researchers. This paper attempts to identify cross-domain differences using quantitative and qualitative measures. The study focuses on the relationships among citations, most-cited papers and h-indices across domains and for research group sizes. The analysis is based on the research output of approximately 10,000 researchers in Slovenia, of which we focus on 6536 researchers working in 284 research group programmes in 2008-2012. As comparative measures of cross-domain research output, we propose the research impact cube (RIC) representation and the analysis of most-cited papers, highest impact factors and citation distribution graphs (Lorenz curves). The analysis of Lotka's model resulted in the proposal of a binary citation frequencies (BCF) distribution model that describes well publishing frequencies. The results may be used as a model to measure, compare and evaluate fields of science on the global, national and research community level to streamline research policies and evaluate progress over a definite time period. (C) 2013 Elsevier Ltd. All rights reserved. C1 [Cerovsek, Tomo; Mikos, Matjaz] Univ Ljubljana, Fac Civil & Geodet Engn, Ljubljana 1000, Slovenia. RP Cerovsek, T (reprint author), Univ Ljubljana, Fac Civil & Geodet Engn, Jamova 2, Ljubljana 1000, Slovenia. 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Informetr. PD JAN PY 2014 VL 8 IS 1 BP 147 EP 161 DI 10.1016/j.joi.2013.11.004 PG 15 WC Information Science & Library Science SC Information Science & Library Science GA AB4PH UT WOS:000331771900014 ER PT J AU Jablonska-Sabuka, M Sitarz, R Kraslawski, A AF Jablonska-Sabuka, Matylda Sitarz, Robert Kraslawski, Andrzej TI Forecasting research trends using population dynamics model with Burgers' type interaction SO JOURNAL OF INFORMETRICS LA English DT Article DE Research trends; Population dynamics; Momentum; Burgers' equation ID RESEARCH-AND-DEVELOPMENT; DECISION-SUPPORT SYSTEM; PORTFOLIO SELECTION; NETWORK ANALYSIS; TECHNOLOGY; PROJECTS; WEB AB The increasing costs of research and the decreasing lifetime of products and processes make the decisions on allocation of R&D funds strategically important. Therefore, ability to predict research trends is crucial in minimizing risks of R&D expenditure planning. The purpose of this paper is to propose a model for efficient prediction of research trends in a chosen branch of science. The approach is based on population dynamics with Burgers' type global interaction and selective neighborhood. The model is estimated based on a training set. Then, an out-of-sample forecast is performed. The research trends of filtration and rectification processes were analyzed in this paper. The simulation results show that the model is able to predict the trends with a considerable accuracy and should, therefore, be tested on a wider range of research fields. (C) 2013 Elsevier Ltd. All rights reserved. C1 [Jablonska-Sabuka, Matylda] Lappeenranta Univ Technol, Dept Math & Phys, FI-53851 Lappeenranta, Finland. [Sitarz, Robert; Kraslawski, Andrzej] Lappeenranta Univ Technol, Sch Ind Engn & Management, FI-53851 Lappeenranta, Finland. [Sitarz, Robert] Rzeszow Univ Technol, Fac Chem, PL-35959 Rzeszow, Poland. 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Informetr. PD JAN PY 2014 VL 8 IS 1 BP 111 EP 122 DI 10.1016/j.joi.2013.11.003 PG 12 WC Information Science & Library Science SC Information Science & Library Science GA AB4PH UT WOS:000331771900011 ER PT J AU Karpov, A AF Karpov, Alexander TI Equal weights coauthorship sharing and the Shapley value are equivalent SO JOURNAL OF INFORMETRICS LA English DT Article DE Coauthorship; Collaboration; Shapley value ID MULTIPLE AUTHORSHIP; CREDIT; QUALITY AB The publication credit allocation problem is one of the fundamental problems in bibliometrics. There are two solutions which do not use any additional information: equal weights measure and the Shapley value. The paper justifies the equal weights measure by showing equivalence with the Shapley value approach for sharing co-authors performance in specific games. (C) 2013 Elsevier Ltd. All rights reserved. C1 Natl Res Univ, Higher Sch Econ, Moscow 101000, Russia. RP Karpov, A (reprint author), Natl Res Univ, Higher Sch Econ, 20 Myasnitskaya Ulitsa, Moscow 101000, Russia. 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PD JAN PY 2014 VL 8 IS 1 BP 71 EP 76 DI 10.1016/j.joi.2013.10.008 PG 6 WC Information Science & Library Science SC Information Science & Library Science GA AB4PH UT WOS:000331771900007 ER PT J AU Megnigbeto, E AF Megnigbeto, Eustache TI Efficiency, unused capacity and transmission power as indicators of the Triple Helix of university-industry-government relationships SO JOURNAL OF INFORMETRICS LA English DT Article DE Triple Helix; Research collaboration; Mutual information; Transmission power; Information theory ID INTERACTION INFORMATION; MATHEMATICAL-THEORY; COMMUNICATION; MODEL AB In this paper, we show that an information source composed with n random variables may be split into 2(n) or 2(n) -1 "states"; therefore, one could compute the maximum entropy of the source. We derive the efficiency and the unused capacity of an information source. We demonstrate that in more than two dimensions, the transmission's variability depends on the system configuration; thus, we determine the upper and the lower bounds to the mutual information and propose the transmission power as an indicator of the Triple Helix of university-industry-government relationships. The transmission power is defined as the fraction of the total 'configurational information' produced in a system; it appears like the efficiency of the transmission and may be interpreted as the strength of the variables dependency, the strength of the synergy between the system's variable or the strength of information flow within the system. (C) 2013 Elsevier Ltd. All rights reserved. C1 [Megnigbeto, Eustache] Bur Etud & Rech Sci Informat, Cotonou, Benin. [Megnigbeto, Eustache] Univ Antwerp, Inst Educ & Informat Sci, IBW, B-2000 Antwerp, Belgium. RP Megnigbeto, E (reprint author), Bur Etud & Rech Sci Informat, 09 BP 477 St Michel, Cotonou, Benin. EM eustachem@gmail.com RI Megnigbeto, Eustache/K-7878-2013; MEGNIGBETO, Eustache/A-3210-2009 OI Megnigbeto, Eustache/0000-0003-2687-3726; MEGNIGBETO, Eustache/0000-0003-2687-3726 CR Arellano-Valle RB, 2013, SCAND J STAT, V40, P42, DOI 10.1111/j.1467-9469.2011.00774.x Batina L, 2011, J CRYPTOL, V24, P269, DOI 10.1007/s00145-010-9084-8 Cover T. M., 2006, ELEMENTS INFORM THEO, V2nd Ivanova I. A., 2014, REDUNDANCY IN PRESS Khan F. 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W., 2001, 1 COURSE INFORM THEO NR 22 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 EI 1875-5879 J9 J INFORMETR JI J. Informetr. PD JAN PY 2014 VL 8 IS 1 BP 284 EP 294 DI 10.1016/j.joi.2013.12.009 PG 11 WC Information Science & Library Science SC Information Science & Library Science GA AB4PH UT WOS:000331771900027 ER PT J AU Rousseau, R AF Rousseau, Ronald TI A refinement of Egghe's increment studies SO JOURNAL OF INFORMETRICS LA English DT Article DE Characterizations of informetric indicators; Increments; Forward differences ID INDEX AB this contribution we show how results obtained in a series of papers by Egghe can be refined in the sense that we need fewer additional conditions. In these articles Egghe considered a general h-type index which has a value n if n is the largest natural number such that the first n publications (ranked according to the number of received citations) have received at least f(n) citations, with f(n) any increasing function defined on the strictly positive numbers. His results deal with increments I-2 and I-1 defined by: I-2(n)-I-1 (n + 1)-I-1 (n) where I-1 (n) = (n + 1)f(n + 1) - nf(n). Our results differ from Egghe's because we also consider I-k(0), k= 1,2. We, moreover, provide a non-recursive definition of the increment functions I-k(n) (C) 2013 Elsevier Ltd. All rights reserved. C1 [Rousseau, Ronald] Univ Antwerp, Inst Educ & Informat Sci, IBW, B-2000 Antwerp, Belgium. [Rousseau, Ronald] Katholieke Univ Leuven, B-3000 Louvain, Belgium. RP Rousseau, R (reprint author), Univ Antwerp, Inst Educ & Informat Sci, IBW, Venusstr 35, B-2000 Antwerp, Belgium. EM ronald.rousseau@telenet.be CR Burrell Q. 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SO JOURNAL OF INFORMETRICS LA English DT Article DE Collaboration; Citation impact; Co-authorship; Monographs; Humanities; Social sciences ID SCIENTIFIC COLLABORATION; SOCIAL-SCIENCES; HUMANITIES; PATTERNS; IMPACT; PUBLICATIONS; AUTHORSHIP; COAUTHORSHIP; PERFORMANCE; INDICATORS AB It is widely believed that collaboration is advantageous in science, for example, with collaboratively written articles tending to attract more citations than solo articles and strong arguments for the value of interdisciplinary collaboration. Nevertheless, it is not known whether the same is true for research that produces books. This article tests whether coauthored scholarly monographs attract more citations than solo monographs using books published before 2011 from 30 categories in the Web of Science. The results show that solo monographs numerically dominate collaborative monographs, but give no evidence of a citation advantage for collaboration on monographs. 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Informetr. PD JAN PY 2014 VL 8 IS 1 BP 276 EP 283 DI 10.1016/j.joi.2013.12.008 PG 8 WC Information Science & Library Science SC Information Science & Library Science GA AB4PH UT WOS:000331771900026 ER PT J AU Yan, EJ AF Yan, Erjia TI Research dynamics: Measuring the continuity and popularity of research topics SO JOURNAL OF INFORMETRICS LA English DT Article DE Topic analysis; Networks; Popularity; Continuity; Dynamics ID LATENT DIRICHLET ALLOCATION; AUTHOR COCITATION ANALYSIS; INFORMATION-SCIENCE; SCIENTIFIC LITERATURE; NETWORK; RETRIEVAL; EVOLUTION; PATTERNS; LIBRARY; FIELDS AB Dynamic development is an intrinsic characteristic of research topics. To study this, this paper proposes two sets of topic attributes to examine topic dynamic characteristics: topic continuity and topic popularity. Topic continuity comprises six attributes: steady, concentrating, diluting, sporadic, transforming, and emerging topics; topic popularity comprises three attributes: rising, declining, and fluctuating topics. These attributes are applied to a data set on library and information science publications during the past 11 years (2001-2011). Results show that topics on "web information retrieval", "citation and bibliometrics", "system and technology", and "health science" have the highest average popularity; topics on "h-index", "online communities", "data preservation", "social media", and "web analysis" are increasingly becoming popular in library and information science. (C) 2013 Elsevier Ltd. All rights reserved. C1 Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA. RP Yan, EJ (reprint author), Drexel Univ, Coll Comp & Informat, 3141 Chestnut St, Philadelphia, PA 19104 USA. 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Informetr. PD JAN PY 2014 VL 8 IS 1 BP 98 EP 110 DI 10.1016/j.joi.2013.10.010 PG 13 WC Information Science & Library Science SC Information Science & Library Science GA AB4PH UT WOS:000331771900010 ER PT J AU Kosmulski, M AF Kosmulski, Marek TI Are you in h? SO JOURNAL OF INFORMETRICS LA English DT Article DE h-index; Scientific output; Ranking of scientists; Ranking of universities ID SCIENTIFIC-RESEARCH OUTPUT; INDEX; JOURNALS AB A new method of assessment of scientific papers, scientists, and scientific institutions was defined. The significance of a paper was assessed by the definition of the largest (the most prestigious) set, including that paper in its h-core. The sets of papers were defined by affiliation (country, city, university, department) or by subject (branches and sub-branches of science, journal). The inclusion of a paper in the h-core of certain set(s) was used as an indicator of the significance of that paper, and of the scientific output of its author(s), of their scientific institution(s), etc. An analogous procedure was used to assess the contribution of an individual to the scientific output of his/her scientific institution, branch of science, etc. (C) 2013 Elsevier Ltd. All rights reserved. C1 Lublin Univ Technol, Lublin, Poland. RP Kosmulski, M (reprint author), Lublin Univ Technol, Lublin, Poland. EM mkosmuls@abo.fi RI Kosmulski, Marek/F-2326-2010 CR Braun T, 2006, SCIENTOMETRICS, V69, P169, DOI 10.1007/s11192-006-0147-4 Chemistry World, 2007, HIRSCH IND RANKS TOP Csajbok E, 2007, SCIENTOMETRICS, V73, P91, DOI 10.1007/s11192-007-1859-9 Harzing AW, 2009, J AM SOC INF SCI TEC, V60, P41, DOI 10.1002/asi.20953 Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102 Kosmulski M., 2006, FORUM AKAD, V11, P31 Meho L, 2006, J AM SOC INFORM SCI, V57, P41 Palsberg J., 2013, H INDEX COMPUTER SCI Prathap G, 2006, CURR SCI INDIA, V91, P1439 Schreiber M, 2008, J INFORMETR, V2, P211, DOI 10.1016/j.joi.2008.05.001 Schubert A, 2007, SCIENTOMETRICS, V70, P201, DOI 10.1007/s11192-007-0112-x Torres-Salinas D, 2011, SCIENTOMETRICS, V88, P771, DOI 10.1007/s11192-011-0418-6 NR 12 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PY 2013 VL 7 IS 3 BP 693 EP 698 DI 10.1016/j.joi.2013.04.007 PG 6 WC Information Science & Library Science SC Information Science & Library Science GA 210UH UT WOS:000323859700013 ER PT J AU Kuan, CH Huang, MH Chen, DZ AF Kuan, Chung-Huei Huang, Mu-Hsuan Chen, Dar-Zen TI Cross-field evaluation of publications of research institutes using their contributions to the fields' MVPs determined by h-index SO JOURNAL OF INFORMETRICS LA English DT Article DE Contribution; Cross-field evaluation; h-Index; Most visible publications; Research institutes ID RANKING SCIENTIFIC INSTITUTIONS; HIGHLY CITED PAPERS; RESEARCH PERFORMANCE; RESEARCH OUTPUT; HIRSCH-INDEX; IMPACT; INDICATORS; VISIBILITY; CITATIONS; SCIENCE AB We propose a cross-field evaluation method for the publications of research institutes. With this approach, we first determine a set of the most visible publications (MVPs) for each field from the publications of all assessed institutes according to the field's h-index. Then, we measure an institute's production in each field by its percentage share (i.e., contribution) to the field's MVPs. Finally, we obtain an institute's cross-field production measure as the average of its contributions to all fields. The proposed approach is proven empirically to be reasonable, intuitive to understand, and uniformly applicable to various sets of institutes and fields of different publication and citation patterns. The field and cross-field production measures obtained by the proposed approach not only allow linear ranking of institutes, but also reveal the degree of their production difference. (c) 2013 Elsevier Ltd. All rights reserved. C1 [Kuan, Chung-Huei] Natl Taiwan Univ Sci & Technol, Grad Inst Patent, Taipei, Taiwan. [Huang, Mu-Hsuan] Natl Taiwan Univ, Dept Lib & Informat Sci, Taipei 10617, Taiwan. [Chen, Dar-Zen] Natl Taiwan Univ, Dept Mech Engn, Taipei 10617, Taiwan. [Chen, Dar-Zen] Natl Taiwan Univ, Inst Ind Engn, Taipei 10617, Taiwan. RP Chen, DZ (reprint author), Natl Taiwan Univ, Dept Mech Engn, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan. 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Informetr. PY 2013 VL 7 IS 2 BP 455 EP 468 DI 10.1016/j.joi.2013.01.008 PG 14 WC Information Science & Library Science SC Information Science & Library Science GA 136PY UT WOS:000318377100023 ER PT J AU Ortega, FJ Gavilan, JM AF Ortega, Francisco J. Gavilan, Jose M. TI The measurement of production efficiency in scientific journals through stochastic frontier analysis models: Application to quantitative economics journals SO JOURNAL OF INFORMETRICS LA English DT Article DE Production; Productivity; Efficiency; Scientific production; Frontier production models ID DATA ENVELOPMENT ANALYSIS; UNIVERSITIES; PERFORMANCE; INDICATORS; SCIENCE; SYSTEM AB The importance of a scientific journal is usually established by considering the number of citations received by the papers that the journal publishes. In this way, the number of citations received by a scientific journal can be considered as a measure of the total production of the journal. 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RP Gavilan, JM (reprint author), Univ Seville, Dept Appl Econ 1, Fac Econ & Business Studies, Ave Ramon & Cajal 1, Seville 41018, Spain. 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Pulgarin, Antonio TI An annual JCR impact factor calculation based on Bayesian credibility formulas SO JOURNAL OF INFORMETRICS LA English DT Article DE Credibility factor; Impact factor; Posterior impact; Prior impact ID CITATION ANALYSIS; SCIENCE; INDICATORS AB Our aim deals with appraising the annual impact calculation of journals belonging to the JCR, in terms of the expected citation (with or without selfcitations) by published paper in a range of k-years. A Bayesian approach to the problem, should reflect not only the current prestige of a journal, but also taking into account its recent trajectory. In this wide context, credibility theory becomes an adequate mechanism deciding whether journal's impact factor calculation to be more or less plausible. Under prior belief that journal quality is determined by its impact factor, we model the citation-quality process by choosing a conjugated family of the exponential class in order to obtain a net impact credibility formula. 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PD JAN PY 2013 VL 7 IS 1 BP 1 EP 9 DI 10.1016/j.joi.2012.08.004 PG 9 WC Information Science & Library Science SC Information Science & Library Science GA 065BG UT WOS:000313121300001 ER PT J AU Prathap, G AF Prathap, Gangan TI Bornmann's alternative to the h index SO JOURNAL OF INFORMETRICS LA English DT Letter C1 CSIR Natl Inst Sci Commun & Informat Resources, New Delhi 110012, India. RP Prathap, G (reprint author), CSIR Natl Inst Sci Commun & Informat Resources, New Delhi 110012, India. EM gp@niscair.res.in RI Prathap, Gangan/C-1173-2009 OI Prathap, Gangan/0000-0003-1472-6358 CR Bornmann L, 2013, J INFORMETR, V7, P100, DOI 10.1016/j.joi.2012.09.004 Bornmann L, 2012, J INFORMETR, V6, P333, DOI 10.1016/j.joi.2011.11.006 Prathap G, 2012, SCIENTOMETRICS, V91, P269, DOI 10.1007/s11192-011-0516-5 NR 3 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PD JAN PY 2013 VL 7 IS 1 BP 209 EP 209 DI 10.1016/j.joi.2012.11.001 PG 1 WC Information Science & Library Science SC Information Science & Library Science GA 065BG UT WOS:000313121300025 ER PT J AU Prathap, G AF Prathap, Gangan TI Energetics of the h-bubble SO JOURNAL OF INFORMETRICS LA English DT Letter C1 CSIR Natl Inst Sci Commun & Informat Resources, New Delhi 110012, India. RP Prathap, G (reprint author), CSIR Natl Inst Sci Commun & Informat Resources, New Delhi 110012, India. EM gp@niscair.res.in CR Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102 Prathap G, 2012, SCIENTOMETRICS, V91, P269, DOI 10.1007/s11192-011-0516-5 Rousseau R, 2013, J INFORMETR, V7, P294, DOI 10.1016/j.joi.2012.11.012 NR 3 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PY 2013 VL 7 IS 2 BP 439 EP 441 DI 10.1016/j.joi.2013.01.006 PG 3 WC Information Science & Library Science SC Information Science & Library Science GA 136PY UT WOS:000318377100021 ER PT J AU Prathap, G AF Prathap, Gangan TI The S-index and consistency SO JOURNAL OF INFORMETRICS LA English DT Letter C1 CSIR Natl Inst Sci Commun & Informat Resources, New Delhi 110012, India. RP Prathap, G (reprint author), CSIR Natl Inst Sci Commun & Informat Resources, New Delhi 110012, India. EM gp@niscair.res.in CR Ko YM, 2013, J INFORMETR, V7, P404, DOI 10.1016/j.joi.2013.01.002 Prathap G, 2011, SCIENTOMETRICS, V87, P515, DOI 10.1007/s11192-011-0367-0 Prathap G, 2012, SCIENTOMETRICS, V91, P269, DOI 10.1007/s11192-011-0516-5 NR 3 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PY 2013 VL 7 IS 2 BP 540 EP 541 DI 10.1016/j.joi.2013.02.004 PG 2 WC Information Science & Library Science SC Information Science & Library Science GA 136PY UT WOS:000318377100030 ER PT J AU Rons, N AF Rons, Nadine TI Partition-based Field Normalization: An approach to highly specialized publication records (vol 6, pg 1, 2012) SO JOURNAL OF INFORMETRICS LA English DT Correction C1 [Rons, Nadine] Vrije Univ Brussel, Res Coordinat Unit, B-1050 Brussels, Belgium. [Rons, Nadine] Vrije Univ Brussel, Ctr R&D Monitoring ECOOM, B-1050 Brussels, Belgium. RP Rons, N (reprint author), Vrije Univ Brussel, Res Coordinat Unit, Pl Laan 2, B-1050 Brussels, Belgium. EM Nadine.Rons@vub.ac.be RI Rons, Nadine/B-9699-2008 OI Rons, Nadine/0000-0002-0548-4927 CR Rons N, 2012, J INFORMETR, V6, P1, DOI 10.1016/j.joi.2011.09.008 NR 1 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PD JAN PY 2013 VL 7 IS 1 BP 99 EP 99 DI 10.1016/j.joi.2012.09.001 PG 1 WC Information Science & Library Science SC Information Science & Library Science GA 065BG UT WOS:000313121300011 ER PT J AU Rousseau, R Hu, XJ AF Rousseau, Ronald Hu, Xiaojun TI Two time series, their meaning and some applications SO JOURNAL OF INFORMETRICS LA English DT Article DE Time series; Social sciences; Informetrics; Chinese universities ID LIBRARY CIRCULATION; PUBLICATION; INDICATORS; KNOWLEDGE; INFORMETRICS; PERIODICITY; SCIENTISTS; CITATIONS; DIFFUSION; SEQUENCES AB Introducing and studying two types of time series, referred to as R1 and R2, we try to enrich the set of time series available for time dependent informetric studies. In a first part we focus on mathematical properties, while in a second part we check if these properties are visible in real data. This practical application uses data in the social sciences related to top Chinese universities. R1 sequences always increase over time, tending relatively fast to one, while R2 sequences have a decreasing tendency tending to zero in practical cases. They can best be used over relatively short periods of time. R1 sequences can be used to detect the rate with which cumulative data increase, while R2 sequences detect the relative rate of development. The article ends by pointing out that these time series can be used to compare innovative activities in firms. Clearly, this investigation is just a first attempt. More studies are needed, including comparisons with other related sequences. (C) 2013 Elsevier Ltd. All rights reserved. C1 [Rousseau, Ronald] VIVES Assoc KU Leuven, Fac Engn Technol, B-8400 Oostende, Belgium. [Rousseau, Ronald] Univ Antwerp, IBW, B-2000 Antwerp, Belgium. [Rousseau, Ronald] Katholieke Univ Leuven, B-3000 Louvain, Belgium. [Hu, Xiaojun] Zhejiang Univ, Sch Med, Med Informat Ctr, Hangzhou 310058, Zhejiang, Peoples R China. RP Hu, XJ (reprint author), Zhejiang Univ, Sch Med, Med Informat Ctr, Hangzhou 310058, Zhejiang, Peoples R China. EM ronald.rousseau@ua.ac.be; xjhu@zju.edu.cn CR Abercrombie RK, 2012, SCIENTOMETRICS, V91, P327, DOI 10.1007/s11192-011-0614-4 Amitay E, 2004, J AM SOC INF SCI TEC, V55, P1270, DOI 10.1002/asi.20082 Bar-Ilan J, 2008, J INFORMETR, V2, P1, DOI 10.1016/j.joi.2007.11.001 Bettencourt LMA, 2009, J INFORMETR, V3, P210, DOI 10.1016/j.joi.2009.03.001 Brookes B. 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Informetr. PY 2013 VL 7 IS 3 BP 603 EP 610 DI 10.1016/j.joi.2013.03.006 PG 8 WC Information Science & Library Science SC Information Science & Library Science GA 210UH UT WOS:000323859700004 ER PT J AU Tol, RSJ AF Tol, Richard S. J. TI Identifying excellent researchers: A new approach SO JOURNAL OF INFORMETRICS LA English DT Article DE Quantile kernel regression; Hirsch index; Economics ID CROWN INDICATOR; RESEARCH OUTPUT; INDEX; ECONOMISTS; IMPACT AB Quantile kernel regression is a flexible way to estimate the percentile of a scholar's quality stratified by a measurable characteristic, without imposing inappropriate assumption about functional form or population distribution. Quantile kernel regression is here applied to identifying the one-in-a-hundred economist per age cohort according to the Hirsch index. (C) 2013 Elsevier Ltd. All rights reserved. C1 [Tol, Richard S. J.] Univ Sussex, Dept Econ, Falmer BN1 9SL, England. [Tol, Richard S. 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EM r.tol@sussex.ac.uk RI Tol, Richard/D-5245-2011 OI Tol, Richard/0000-0002-8012-3988 CR Beirlant J, 2007, J INFORMETR, V1, P185, DOI 10.1016/j.joi.2007.04.002 Burrell QL, 2007, SCIENTOMETRICS, V73, P19, DOI 10.1007/s11192-006-1774-5 Ellison G., 2010, 3188 CESIFO FALK M, 1986, STAT PROBABIL LETT, V4, P69, DOI 10.1016/0167-7152(86)90020-9 Gingras Y, 2011, J INFORMETR, V5, P226, DOI 10.1016/j.joi.2010.10.005 Herranz N, 2012, J INFORMETR, V6, P543, DOI 10.1016/j.joi.2012.02.006 Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102 Krichel T., 2005, EC ANAL POLICY, V39, P143 Leydesdorff L, 2011, J INFORMETR, V5, P224, DOI 10.1016/j.joi.2010.10.003 Liang LM, 2006, SCIENTOMETRICS, V69, P153, DOI 10.1007/s11192-006-0145-6 Lundberg J, 2007, J INFORMETR, V1, P145, DOI 10.1016/j.joi.2006.09.007 Hengl T, 2009, SCIENTOMETRICS, V80, P491, DOI 10.1007/s11192-009-0073-3 Moed HF, 2010, J INFORMETR, V4, P436, DOI 10.1016/j.joi.2010.03.009 PARZEN E, 1979, J AM STAT ASSOC, V74, P105, DOI 10.2307/2286734 Sarabia JM, 2012, J INFORMETR, V6, P66, DOI 10.1016/j.joi.2011.09.005 Seiler C, 2012, J INFORMETR, V6, P389, DOI 10.1016/j.joi.2012.01.007 SHEATHER SJ, 1990, J AM STAT ASSOC, V85, P410, DOI 10.2307/2289777 Takeuchi I, 2006, J MACH LEARN RES, V7, P1231 Takezawa K, 2006, INTRODUCTION TO NONPARAMETRIC REGRESSION, P1 Tol RSJ, 2013, J INFORMETR, V7, P522, DOI 10.1016/j.joi.2013.02.001 Van Raan A.F.J., 2005, HDB QUANTITATIVE SCI, P19 van Leeuwen TN, 2003, SCIENTOMETRICS, V57, P257, DOI 10.1023/A:1024141819302 van Raan AFJ, 2010, J INFORMETR, V4, P431, DOI 10.1016/j.joi.2010.03.008 Waltman L, 2011, SCIENTOMETRICS, V87, P467, DOI 10.1007/s11192-011-0354-5 Waltman L, 2011, J INFORMETR, V5, P37, DOI 10.1016/j.joi.2010.08.001 Yu KM, 1998, J AM STAT ASSOC, V93, P228, DOI 10.2307/2669619 Zimmermann C., 2007, DEP EC WORKING PAPER, V2007-36 NR 27 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 EI 1875-5879 J9 J INFORMETR JI J. Informetr. PY 2013 VL 7 IS 4 BP 803 EP 810 DI 10.1016/j.joi.2013.06.003 PG 8 WC Information Science & Library Science SC Information Science & Library Science GA 264ZV UT WOS:000327920400005 ER PT J AU van Zyl, JM AF van Zyl, J. M. TI A simulation study to investigate the accuracy of approximating averages of ratios using ratios of averages SO JOURNAL OF INFORMETRICS LA English DT Article DE Averages of ratios; Ratio of averages; Power-law; Citations ID PARETO DISTRIBUTIONS; LAW AB For a number of researchers a number of publications for each author is simulated using the zeta distribution and then for each publication a number of citations per publication simulated. Bootstrap confidence intervals indicate that the difference between the average of ratios and the ratio of averages are not significant. It was found that the log-logistic distribution which is a general form for the ratio of two correlated Pareto random variables, give a good fit to the estimated ratios. (C) 2013 Elsevier Ltd. All rights reserved. C1 Univ Orange Free State, Dept Math Stat & Actuarial Sci, Bloemfontein, South Africa. RP van Zyl, JM (reprint author), Univ Orange Free State, Dept Math Stat & Actuarial Sci, Bloemfontein, South Africa. EM wwjvz@ufs.ac.za CR Arnold B. C., 1983, PARETO DISTRIBUTIONS Egghe L, 2012, J INFORMETR, V6, P307, DOI 10.1016/j.joi.2011.12.007 Gibbons J. D., 2011, NONPARAMETRIC STATIS Goldstein ML, 2004, EUR PHYS J B, V41, P255, DOI 10.1140/epjb/e2004-00316-5 Kleiber C., 2003, STAT SIZE DISTRIBUTI Lariviere, 2011, JOURNAL OF INFORMETR, V5, P392 Leydesdorff L., 2011, JOURNAL OF INFORMETR, V4, P423 Limbert E., 2001, BIOSCIENCE, V51, P341 Lotka A.J., 1926, J WASHINGTON ACAD SC, V16, P317 MARDIA KV, 1962, ANN MATH STAT, V33, P1008, DOI 10.1214/aoms/1177704468 Markovich N. 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PY 2013 VL 7 IS 4 BP 907 EP 913 DI 10.1016/j.joi.2013.08.008 PG 7 WC Information Science & Library Science SC Information Science & Library Science GA 264ZV UT WOS:000327920400015 ER PT J AU Albarran, P Ortuno, I Ruiz-Castillo, J AF Albarran, Pedro Ortuno, Ignacio Ruiz-Castillo, Javier TI High-and low-impact citation measures: Empirical applications (vol 5, pg 122, 2011) SO JOURNAL OF INFORMETRICS LA English DT Correction C1 [Albarran, Pedro; Ortuno, Ignacio] Univ Carlos III Madrid, E-28903 Getafe, Spain. RP Ruiz-Castillo, J (reprint author), Univ Carlos III Madrid, Madrid 128, E-28903 Getafe, Spain. EM jrc@eco.uc3m.es CR Albarran P, 2011, J INFORMETR, V5, P122, DOI 10.1016/j.joi.2010.10.001 NR 1 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PD OCT PY 2012 VL 6 IS 4 BP 469 EP 469 DI 10.1016/j.joi.2012.04.001 PG 1 WC Information Science & Library Science SC Information Science & Library Science GA 003AY UT WOS:000308581700002 ER PT J AU Albarran, P Ortuno, I Ruiz-Castillo, J AF Albarran, Pedro Ortuno, Ignacio Ruiz-Castillo, Javier TI The measurement of low- and high-impact in citation distributions: Technical results (vol 5, pg 48, 2011) SO JOURNAL OF INFORMETRICS LA English DT Correction C1 [Albarran, Pedro; Ortuno, Ignacio; Ruiz-Castillo, Javier] Univ Carlos III Madrid, Dept Econ, Getafe 28903, Spain. RP Ruiz-Castillo, J (reprint author), Univ Carlos III Madrid, Dept Econ, Madrid 128, Getafe 28903, Spain. EM jrc@eco.uc3m.es CR Albarran P, 2011, J INFORMETR, V5, P48, DOI 10.1016/j.joi.2010.08.002 NR 1 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PD OCT PY 2012 VL 6 IS 4 BP 515 EP 515 DI 10.1016/j.joi.2012.01.006 PG 1 WC Information Science & Library Science SC Information Science & Library Science GA 003AY UT WOS:000308581700009 ER PT J AU Kosmulski, M AF Kosmulski, Marek TI Nemo iudex in causa sua? SO JOURNAL OF INFORMETRICS LA English DT Article DE Bias in assessment of research; h-Index ID INDEX AB Newly introduced bibliometric indices may be biased by the preference of scientists for bibliometric indices, in which their own research receives a high score. To test such a hypothesis, the publication and citation records of nine scientists who recently proposed new bibliometric indices were analyzed in terms of standard indicators, their own indicators, and indicators recently proposed by other scientists. The result of the test was negative, that is, newly introduced bibliometric indices did not favor their authors. (C) 2012 Elsevier Ltd. All rights reserved. C1 Lublin Univ Technol, Lublin, Poland. RP Kosmulski, M (reprint author), Lublin Univ Technol, Lublin, Poland. EM mkosmuls@abo.fi RI Kosmulski, Marek/B-9158-2009; Kosmulski, Marek/F-2326-2010 CR Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7 Fu HZ, 2012, J COLLOID INTERF SCI, V379, P148, DOI 10.1016/j.jcis.2012.04.051 Garcia-Perez MA, 2009, SCIENTOMETRICS, V81, P779, DOI 10.1007/s11192-009-2290-1 Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102 Kosmulski M., 2006, ISSI NEWSLETTER, V7, P4 Schreiber M, 2008, NEW J PHYS, V10, DOI 10.1088/1367-2630/10/4/040201 Tol RSJ, 2009, SCIENTOMETRICS, V80, P317, DOI 10.1007/s11192-008-2079-7 Vinkler P, 2010, SCIENTOMETRICS, V82, P461, DOI 10.1007/s11192-010-0182-z Visscher A, 2010, J AM SOC INFORM SCI, V61, P319 Wohlin C., 2009, SCIENTOMETRICS, V81, P512 NR 10 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PD OCT PY 2012 VL 6 IS 4 BP 611 EP 614 DI 10.1016/j.joi.2012.06.003 PG 4 WC Information Science & Library Science SC Information Science & Library Science GA 003AY UT WOS:000308581700018 ER PT J AU Leydesdorff, L AF Leydesdorff, Loet TI McCall's area transformation versus the integrated impact indicator (I3) SO JOURNAL OF INFORMETRICS LA English DT Letter C1 Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, NL-1012 CX Amsterdam, Netherlands. RP Leydesdorff, L (reprint author), Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, Kloveniersburgwal 48, NL-1012 CX Amsterdam, Netherlands. EM loet@leydesdorff.net RI Leydesdorff, Loet/E-2903-2010 OI Leydesdorff, Loet/0000-0002-7835-3098 CR Bornmann L, 2011, J INFORMETR, V5, P228, DOI 10.1016/j.joi.2010.10.009 KRUS DJ, 1977, EDUC PSYCHOL MEAS, V37, P257, DOI 10.1177/001316447703700134 Leydesdorff L, 2011, ATL C SCI INN POL SE Leydesdorff L, 2011, J AM SOC INF SCI TEC, V62, P2133, DOI 10.1002/asi.21609 Leydesdorff L., J AM SOC INFORM SCI McCall WA, 1922, MEASURE ED Moed HF, 2010, J INFORMETR, V4, P265, DOI 10.1016/j.joi.2010.01.002 Mutz R, 2012, J INFORMETR, V6, P169, DOI 10.1016/j.joi.2011.12.006 Rubin DB, 1977, J EDUC STATIST, V2, P1, DOI DOI 10.2307/1164933 NR 9 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PD OCT PY 2012 VL 6 IS 4 BP 513 EP 514 DI 10.1016/j.joi.2012.03.002 PG 2 WC Information Science & Library Science SC Information Science & Library Science GA 003AY UT WOS:000308581700008 ER PT J AU Perme, MP Stare, J Zaucer, R Zaucer, M AF Perme, Maja Pohar Stare, Janez Zaucer, Rok Zaucer, Matjaz TI Comparison of the citation distribution and h-index between groups of different sizes SO JOURNAL OF INFORMETRICS LA English DT Article DE Research performance; Citation distribution; Reduced Hirsch index; Size-independent comparison; Stochastic method; Probability formulae ID HIRSCH-INDEX; INDICATORS; IMPACT; OUTPUT; MODEL AB Evaluating the performance of institutions with different resources is not easy, any citation distribution comparisons are strongly affected by the differences in the number of articles published. The paper introduces a method for comparing citation distributions of research groups that differ in size. The citation distribution of a larger group is reduced by a certain factor and compared with the original distribution of a smaller group. Expected values and tolerance intervals of the reduced set of citations are calculated. A comparison of both distributions can be conveniently viewed in a graph. The size-independent reduced Hirsch index - a function of reducing factor that allows the comparison of groups within a scientific field - is calculated in the same way. The method can be used for comparing groups or units differing in full-time equivalent, funding or the number of researchers, for comparing countries by population, gross domestic product, etc. It is shown that for the calculation of the reduced Hirsch index, the upper part of the original citation distribution is sufficient. The method is illustrated through several case comparisons. (C) 2012 Elsevier Ltd. All rights reserved. C1 [Perme, Maja Pohar; Stare, Janez] Univ Ljubljana, Fac Med, Inst Biostat & Med Informat, Ljubljana 61000, Slovenia. [Zaucer, Rok] Univ Nova Gorica, Nova Gorica, Slovenia. [Zaucer, Matjaz] Univ Ljubljana, Cent Technol Lib, Ljubljana 61000, Slovenia. RP Perme, MP (reprint author), Vrazov Trg 2, Ljubljana 1000, Slovenia. EM maja.pohar@mf.uni-lj.si CR Aksnes DW, 2004, RES EVALUAT, V13, P33, DOI 10.3152/147154404781776563 Albarran P, 2011, J INFORMETR, V5, P48, DOI 10.1016/j.joi.2010.08.002 Alonso S, 2009, J INFORMETR, V3, P273, DOI 10.1016/j.joi.2009.04.001 Bornmann L, 2011, J INFORMETR, V5, P346, DOI 10.1016/j.joi.2011.01.006 Bornmann L, 2010, J INFORMETR, V4, P407, DOI 10.1016/j.joi.2010.03.005 Burrell QL, 2007, J INFORMETR, V1, P16, DOI 10.1016/j.joi.2006.07.001 Butler L, 2003, RES POLICY, V32, P143, DOI 10.1016/S0048-7333(02)00007-0 Coryn C. L. S., 2005, J MULTIDISCIPLINARY, V4, P115 Crespo J. 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Informetr. PD OCT PY 2012 VL 6 IS 4 BP 712 EP 720 DI 10.1016/j.joi.2012.07.007 PG 9 WC Information Science & Library Science SC Information Science & Library Science GA 003AY UT WOS:000308581700030 ER PT J AU Su, HN Lee, PC AF Su, Hsin-Ning Lee, Pei-Chun TI Framing the structure of global open innovation research SO JOURNAL OF INFORMETRICS LA English DT Article DE Network theory; Open innovation; Knowledge map; Structure; Quantitative analysis ID CO-WORD ANALYSIS; NEURAL-NETWORK RESEARCH; BIBLIOMETRIC ANALYSIS; DATABASE TOMOGRAPHY; TECHNOLOGY LITERATURE; SCIENTOMETRICS; CARTOGRAPHY; DYNAMICS; SCIENCE; FIELD AB This study proposes a way of mapping open innovation research structure by quantitatively analyzing open innovation research papers retrieved from Web of Science database. A total of 130 papers are retrieved in this study and 62 papers which contain keywords are chosen for research structure visualization. Open innovation research networks are quantitatively investigated by combining network theory and keyword co-occurrence. Contour maps of open innovation are also created on the basis of networks for visualization. The networks and contour maps can be expressed differently by choosing different information as the main actors, such as the paper author, the institute, the country or the author-keywords, to reflect open innovation research structures in micro, meso, and macro-levels, respectively. The quantitative ways of exploring open innovation research structure are investigated to unveil important or emerging open innovation components as well as to demonstrate visualization of the structure of global open innovation research. The quantitative method provided in this project shows a possible way of visualizing and evaluating research community structure and thus a computerized calculation is possible for potential quantitative applications on open innovation research management, e.g. R&D resource allocation, research performance evaluation, and science map. (C) 2011 Elsevier Ltd. All rights reserved. C1 [Lee, Pei-Chun] Natl Appl Res Labs, Sci & Technol Policy Res & Informat Ctr, Taipei 106, Taiwan. [Su, Hsin-Ning] Natl Chung Hsing Univ, Inst Technol Management, Taichung 402, Taiwan. [Lee, Pei-Chun] Natl Chengchi Univ, Grad Inst Technol & Innovat Management, Taipei 116, Taiwan. RP Lee, PC (reprint author), Natl Appl Res Labs, Sci & Technol Policy Res & Informat Ctr, 14 F,106,Sec 2,He Ping E Rd, Taipei 106, Taiwan. 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PD APR PY 2012 VL 6 IS 2 BP 202 EP 216 DI 10.1016/j.joi.2011.12.001 PG 15 WC Information Science & Library Science SC Information Science & Library Science GA 906RF UT WOS:000301364100005 ER PT J AU Franceschini, F Maisano, D AF Franceschini, Fiorenzo Maisano, Domenico TI Regularity in the research output of individual scientists: An empirical analysis by recent bibliometric tools SO JOURNAL OF INFORMETRICS LA English DT Article DE Research evaluation; Individual scientist; Publication regularity; Citation regularity; Ferrers diagram; h-Index; Citation/publication distribution; Borda's method ID INDICATORS; UNIVERSITY; SCIENCE AB This paper proposes an empirical analysis of several scientists based on their time regularity, defined as the ability of generating an active and stable research output over time, in terms of both quantity/publications and impact/citations. In particular, we empirically analyse three recent bibliometric tools to perform qualitative/quantitative evaluations under the new perspective of regularity. These tools are respectively (1) the PY/CY diagram, (2) the publication/citation Ferrers diagram and triad indicators, and (3) a year-by-year comparison of the scientists' output (Borda's ranking). Results of the regularity analysis are then compared with those obtained under the classical perspective of overall production. The proposed evaluation tools can be applied to competitive examinations for research position/promotion, as complementary instruments to the commonly adopted bibliometric techniques. (C) 2011 Elsevier Ltd. All rights reserved. C1 [Franceschini, Fiorenzo; Maisano, Domenico] Politecn Torino, DISPEA Dept Prod Syst & Business Econ, I-10129 Turin, Italy. RP Franceschini, F (reprint author), Politecn Torino, DISPEA Dept Prod Syst & Business Econ, Corso Duca Abruzzi 24, I-10129 Turin, Italy. EM fiorenzo.franceschini@polito.it; domenico.maisano@polito.it RI MAISANO, Domenico/B-4301-2010 OI MAISANO, Domenico/0000-0002-8154-4469 CR Alonso S, 2009, J INFORMETR, V3, P273, DOI 10.1016/j.joi.2009.04.001 Amin M., 2000, IMPACT FACTORS USE A Andrews G. E., 1998, THEORY PARTITIONS *ASPHER, 2010, DOCT ED RES CAP PUBL Bar-Ilan J, 2010, SCIENTOMETRICS, V82, P495, DOI 10.1007/s11192-010-0185-9 Billaut JC, 2010, SCIENTOMETRICS, V84, P237, DOI 10.1007/s11192-009-0115-x Borda J. C., 1781, ISIS, V44, P42 Bornmann L, 2009, J INFORMETR, V3, P27, DOI 10.1016/j.joi.2008.11.001 Bornmann L, 2011, SCIENTOMETRICS, V86, P173, DOI 10.1007/s11192-010-0222-8 *COLL PRES CORS ST, 2008, CONS PROP REL AGL IN CRONIN B, 1984, CITATION PROC ROLE S EGGHE L, 2010, ANNU REV INFORM SCI, V44, P64 Egghe L, 2010, J INFORMETR, V4, P320, DOI 10.1016/j.joi.2010.01.006 Franceschini F, 2010, EUR J OPER RES, V203, P494, DOI 10.1016/j.ejor.2009.08.001 Franceschini F, 2010, J INFORMETR, V4, P503, DOI 10.1016/j.joi.2010.05.004 Franceschini F, 2007, MANAGEMENT MEASUREME Franceschini F, 2011, J INFORMETR, V5, P64, DOI 10.1016/j.joi.2010.08.003 FRANCESCHINI F, SCIENTOMETR IN PRESS, DOI DOI 10.1007/S11192-011-0371-4 FRANCESCHINI F, 2010, QREI QUALIT IN PRESS, DOI DOI 10.1002/QRE.1174 GLANZEL W, 2010, ISSI NEWSLETTER, V6, P66 Glanzel W, 2006, SCIENTOMETRICS, V67, P67, DOI 10.1556/Scient.67.2006.1.5 Haeffner-Cavaillon N, 2009, ARCH IMMUNOL THER EX, V57, P33, DOI 10.1007/s00005-009-0004-2 Harzing A.W., 2007, ETHICS SCI ENV POLIT, V8, P61, DOI DOI 10.3354/esep00076 Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102 *IPEA, 2009, SIMPL PUBL CALL PROP Labbe C., 2010, ISSI NEWSLETTER, V6, P48 Moed H.F., 2005, CITATION ANAL RES EV Neuhaus C, 2008, J DOC, V64, P193, DOI 10.1108/00220410810858010 Rousseau R, 2008, P WIS 2008 4 INT C W Saari D. G., 1995, BASIC GEOMETRY VOTIN SNIZEK WE, 1995, SCIENTOMETRICS, V32, P117, DOI 10.1007/BF02016888 Stephan PE, 2008, CESIFO ECON STUD, V54, P313, DOI 10.1093/cesifo/ifn014 van Raan A.F.J., 2000, WEB KNOWLEDGE FESTSC, P301 NR 33 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PD JUL PY 2011 VL 5 IS 3 BP 458 EP 468 DI 10.1016/j.joi.2011.04.004 PG 11 WC Information Science & Library Science SC Information Science & Library Science GA 769QF UT WOS:000291032500014 ER PT J AU Bollen, J Fox, G Singhal, PR AF Bollen, Johan Fox, Geoffrey Singhal, Prashant Raj TI How and where the TeraGrid supercomputing infrastructure benefits science SO JOURNAL OF INFORMETRICS LA English DT Article ID INDEX AB We investigate how the benefits of the TeraGrid supercomputing infrastructure are distributed across the scientific community. Do mostly high-impact scientists benefit from the TeraGrid? Are some scientific domains more strongly represented than others in TeraGrid-supported work? To answer these questions, we examine the relation between TeraGrid usage and scientific impact for a set of scientists whose projects relied to varying degrees on the TeraGrid infrastructure. For each scientist we measure TeraGrid usage expressed in terms of allocated Service Units (SU) vs. various indicators of their scientific impact such as the h-index, total citations, and citations per article. Our results show a significant correlation between scientific impact and TeraGrid usage. We furthermore examine the distribution of TeraGrid-related publications across various scientific journals. A superposition of these journals over an existing large-scale map of science shows how TeraGrid-supported work is mostly concentrated in Physics and Chemistry, with a lesser focus on biology. (C) 2010 Elsevier Ltd. All rights reserved. C1 [Bollen, Johan; Fox, Geoffrey; Singhal, Prashant Raj] Indiana Univ, Sch Informat & Comp, Bloomington, IN 47408 USA. RP Bollen, J (reprint author), Indiana Univ, Sch Informat & Comp, 919 E 10th St, Bloomington, IN 47408 USA. EM jbollen@indiana.edu CR Bollen J, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0004803 Bollen Johan, 2008, Joint Conference on Digital Libraries (JCDL 2008), DOI 10.1145/1378889.1378928 BUTLER D, 2009, NATURE NEWS MAR Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7 Harzing A.W., 2007, ETHICS SCI ENV POLIT, V8, P61, DOI DOI 10.3354/esep00076 Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102 LAWRENCE KA, 2007, JUN 2007 WORKSH SCI ZIMMERMAN A, 2006, TERAGRID USER WORKSH NR 8 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PD JAN PY 2011 VL 5 IS 1 BP 114 EP 121 DI 10.1016/j.joi.2010.09.004 PG 8 WC Information Science & Library Science SC Information Science & Library Science GA 698WS UT WOS:000285626000010 ER PT J AU Rousseau, R Wolfram, D AF Rousseau, Ronald Wolfram, Dietmar TI The ASIS&T-ISSI "metrics" pre-conference seminar and the Global Alliance SO JOURNAL OF INFORMETRICS LA English DT Editorial Material C1 [Rousseau, Ronald] KHBO, B-8400 Oostende, Belgium. [Wolfram, Dietmar] Univ Wisconsin, Sch Informat Studies, Milwaukee, WI 53201 USA. RP Rousseau, R (reprint author), KHBO, Zeedijk 101, B-8400 Oostende, Belgium. EM ronald.rousseau@khbo.be; dwolfram@uwm.edu RI Wolfram, Dietmar/A-2449-2008 NR 0 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PD APR PY 2010 VL 4 IS 2 BP 139 EP 140 DI 10.1016/j.joi.2009.11.009 PG 2 WC Information Science & Library Science SC Information Science & Library Science GA 568II UT WOS:000275515500001 ER PT J AU Gagolewski, M AF Gagolewski, Marek TI A remark on limit properties of generalized h- and g-indices SO JOURNAL OF INFORMETRICS LA English DT Letter C1 Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland. RP Gagolewski, M (reprint author), Polish Acad Sci, Syst Res Inst, Ul Newelska 6, PL-01447 Warsaw, Poland. EM gagolews@ibspan.waw.pl RI Gagolewski, Marek/C-3575-2012 OI Gagolewski, Marek/0000-0003-0637-6028 CR Egghe L, 2006, SCIENTOMETRICS, V69, P131, DOI 10.1007/s11192-006-0144-7 GAGOLEWSKI M, SCIENTOMETR IN PRESS Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102 van Eck NJ, 2008, J INFORMETR, V2, P263, DOI 10.1016/j.joi.2008.09.004 NR 4 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PD OCT PY 2009 VL 3 IS 4 BP 367 EP 368 DI 10.1016/j.joi.2009.02.001 PG 2 WC Information Science & Library Science SC Information Science & Library Science GA 484VB UT WOS:000269075100012 ER PT J AU van Eck, NJ Waltman, L AF van Eck, Nees Jan Waltman, Ludo TI On the proper understanding of the limiting behavior of generalizations of the h- and g-indices Reply SO JOURNAL OF INFORMETRICS LA English DT Letter C1 [van Eck, Nees Jan; Waltman, Ludo] Erasmus Univ, Erasmus Sch Econ, Inst Econometr, NL-3000 DR Rotterdam, Netherlands. [van Eck, Nees Jan; Waltman, Ludo] Leiden Univ, Ctr Sci & Technol Studies, NL-2300 AX Leiden, Netherlands. RP van Eck, NJ (reprint author), Erasmus Univ, Erasmus Sch Econ, Inst Econometr, POB 1738, NL-3000 DR Rotterdam, Netherlands. EM nvaneck@ese.eur.nl; lwaltman@ese.eur.nl RI van Eck, Nees Jan/B-6042-2008 OI van Eck, Nees Jan/0000-0001-8448-4521 CR van Eck NJ, 2008, J INFORMETR, V2, P263, DOI 10.1016/j.joi.2008.09.004 NR 1 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PD OCT PY 2009 VL 3 IS 4 BP 369 EP 370 DI 10.1016/j.joi.2009.02.002 PG 2 WC Information Science & Library Science SC Information Science & Library Science GA 484VB UT WOS:000269075100013 ER PT J AU Waltman, L van Eck, NJ AF Waltman, Ludo van Eck, Nees Jan TI Some comments on the journal weighted impact factor proposed by Habibzadeh and Yadollahie SO JOURNAL OF INFORMETRICS LA English DT Article DE Impact factor; Weighted impact factor; Journal; Citation AB In a recent paper in the Journal of Informetrics, Habibzadeh and Yadollahie [Habibzadeh, F., & Yadollahie, M. (2008). Journal weighted impact factor: A proposal. Journal of Informetrics, 2(2), 164 - 172] propose a journal weighted impact factor (WIF). Unlike the ordinary impact factor, the WIF of a journal takes into account the prestige or the influence of citing journals. In this communication, we show that the way in which Habibzadeh and Yadollahie calculate the WIF of a journal has some serious problems. Due to these problems, a ranking of journals based on WIF can be misleading. We also indicate how the problems can be solved by changing the way in which the WIF of a journal is calculated. (C) 2008 Elsevier Ltd. All rights reserved. C1 [Waltman, Ludo; van Eck, Nees Jan] Erasmus Univ, Erasmus Sch Econ, Inst Econometr, NL-3000 DR Rotterdam, Netherlands. RP Waltman, L (reprint author), Erasmus Univ, Erasmus Sch Econ, Inst Econometr, POB 1738, NL-3000 DR Rotterdam, Netherlands. EM lwaltman@few.eur.nl; nvaneck@few.eur.nl RI Waltman, Ludo/B-5561-2008; van Eck, Nees Jan/B-6042-2008 OI van Eck, Nees Jan/0000-0001-8448-4521 CR PINSKI G, 1976, INFORM PROCESS MANAG, V12, P297, DOI 10.1016/0306-4573(76)90048-0 NR 1 TC 0 Z9 0 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1751-1577 J9 J INFORMETR JI J. Informetr. PD OCT PY 2008 VL 2 IS 4 BP 369 EP 372 DI 10.1016/j.joi.2008.06.003 PG 4 WC Information Science & Library Science SC Information Science & Library Science GA 372LS UT WOS:000260903700013 ER EF