Personal Research Database

Full Text: 2010\Scientometrics83, 219.pdf

Abstract: In this paper the relationship between knowledge production and the structure of research networks in two scientific fields is assessed. We investigate whether knowledge production corresponds positively or negatively with different types of social network structure. We show that academic fields generate knowledge in different ways and that within the fields, different types of networks act as a stimulant for knowledge generation.

Keywords: Astronomy, Astrophysics, Collaboration, Dynamics, Holes, Innovation, Knowledge, Knowledge Production, Multidisciplinarity, Nanoscience, Nanoscience, Nanotechnology, Networks, New Sciences, Perspective, Research, Research Collaboration, Science, Social Network Analysis

? Franceschet, M. (2010), A comparison of bibliometric indicators for computer science scholars and journals on Web of Science and Google Scholar. Scientometrics, 83 (1), 243-258.

Full Text: 2010\Scientometrics83, 243.pdf

Abstract: Given the current availability of different bibliometric indicators and of production and citation data sources, the following two questions immediately arise: do the indicators’ scores differ when computed on different data sources? More importantly, do the indicator-based rankings significantly change when computed on different data sources? We provide a case study for computer science scholars and journals evaluated on Web of Science and Google Scholar databases. The study concludes that Google scholar computes significantly higher indicators’ scores than Web of Science. Nevertheless, citation-based rankings of both scholars and journals do not significantly change when compiled on the two data sources, while rankings based on the h index show a moderate degree of variation.

Keywords: Bibliometric, Bibliometric Indicators, Citation, Citation Analysis, Comparison, Computer, Correlation Analysis, Databases, Google Scholar, h Index, h-Index, Impact, Indicators, Journals, LIS, of-Science, Output, Publication and Citation Data Sources, Rankings, Researchers, Science, Scopus, Search, Web of Science

? Yu, G., Yang, D.H. and Liang, W. (2010), Reliability-based citation impact factor and the manipulation of impact factor. Scientometrics, 83 (1), 259-270.

Full Text: 2010\Scientometrics83, 259.pdf

Abstract: According to the definition of reliability-based citation impact factor (R-impact factor) proposed by KUO & RUPE and the cumulative citation age distribution model, a mathematical expression of the relationship between R-impact factor and impact factor is established in this paper. By simulation of the change processes of the R-impact factor and impact factor in the manipulation process of the impact factor, it is found that the effect of manipulation can be partly corrected by the R-impact factor in some cases. Based on the Journal Citation Report database, impact factors of 4 normal journals and 4 manipulated journals were collected. The journals’ R-impact factors and self-cited rates in the previous two years were calculated for each year during the period 2000 to 2007, and various characteristics influenced by the manipulation were analyzed. We find that the R-impact factor has greater fairness than the impact factor for journals with relatively short cited half-lives. Finally, some issues about using the R-impact factor as a measure for evaluating scientific journals are discussed.

Keywords: Characteristics, Citation, Citation Impact, Database, Editors, Impact, Impact Factor, Impact Factors, Journals, Manipulation, Model, Publication Delays, R-Impact Factor, Scientific Journals, Self-Cited Rate, Simulation

? Wong, P.K. and Singh, A. (2010), University patenting activities and their link to the quantity and quality of scientific publications. Scientometrics, 83 (1), 271-294.

Full Text: 2010\Scientometrics83, 271.pdf

Abstract: Integrating data from three independent data sources--USPTO patenting data, Shanghai Jiao Tong University’s Academic Ranking of World Universities (ARWU) and the Times Higher Education Supplement’s World University Ranking (WUR), we examine the possible link between patenting output and the quantity and quality of scientific publications among 281 leading universities world-wide. We found that patenting by these universities, as measured by patents granted by the USPTO, has grown consistently faster than overall US patenting over 1977-2000, although it has grown more slowly over the last 5 years (2000-2005). Moreover, since the mid-1990s, patenting growth has been faster among universities outside North America than among those within North America. We also found that the patenting output of the universities over 2003-2005 is significantly correlated with the quantity and quality of their scientific publications. However, significant regional variations are found: for universities in North America, both the quantity and quality of scientific publications matter, but for European and Australian/NZ universities, only the quantity of publications matter, while for other universities outside North America and Europe/Australia/NZ, only quality of publications matter. We found similar findings when using EPO patenting data instead of USPTO data. Additionally, for USPTO data only, the degree of internationalization of faculty members is found to reduce patenting performance among North American universities, but to increase that of universities outside North America. Plausible explanations for these empirical observations and implications for future research are discussed.

Keywords: Academic Research, Bayh-Dole Act, Citations, Growth, Innovation, Intellectual Property-Rights, Life Sciences, Patents, Performance, Publication Quantity & Quality, Publications, Ranking, Research, Scientific Publications, Technology Commercialization, Technology-Transfer, United-States, Universities, University, University Patenting, US, US Universities, USPTO

? Jarneving, B. (2010), Regional research and foreign collaboration. Scientometrics, 83 (1), 295-320.

Full Text: 2010\Scientometrics83, 295.pdf

Abstract: Motivated by the merging of four Swedish counties to a larger administrative and political unit with increased responsibilities, a comprehensive study of regional-foreign research collaboration was carried out. Various multivariate methods were applied for the depiction of collaborative networks of various compositions and at various levels of aggregation. Other aspects investigated concerned the influence of institutions and countries on regional-foreign collaboration and the relation between collaboration and research fields. Findings showed that foreign research collaboration was concentrated to three major regional institutions, each with a characteristic collaborative context. The influence of domestic collaboration was notable with regard to medical research while collaboration within the field of physics and astronomy was characteristic for pure regional-foreign collaboration, which was the dominating type of research collaboration throughout the period of observation (1998-2006).

Keywords: Authors, Collaboration, Cooperation, Medical, Methods, Networks, Publications, Region, Research, Research Collaboration, Science, Sweden

? Franzoni, C., Simpkins, C.L., Li, B.L. and Ram, A. (2010), Using content analysis to investigate the research paths chosen by scientists over time. Scientometrics, 83 (1), 321-335.

Full Text: 2010\Scientometrics83, 321.pdf

Abstract: We present an application of a clustering technique to a large original dataset of SCI publications which is capable at disentangling the different research lines followed by a scientist, their duration over time and the intensity of effort devoted to each of them. Information is obtained by means of software-assisted content analysis, based on the co-occurrence of words in the full abstract and title of a set of SCI publications authored by 650 American star-physicists across 17 years. We estimated that scientists in our dataset over the time span contributed on average to 16 different research lines lasting on average 3.5 years and published nearly 5 publications in each single line of research. The technique is potentially useful for scholars studying science and the research community, as well as for research agencies, to evaluate if the scientist is new to the topic and for librarians, to collect timely biographic information.

Keywords: Abstract, Academic Scientists, Clustering, Co-Occurrence, Content Analysis, Indicators, Knowledge, Knowledge Development, Performance, Productivity, Publication, Publications, Research, Research Trajectories, SCI, Science, Semantic Search, Statistics, Topic

? Linmans, A.J.M. (2010), Why with bibliometrics the Humanities does not need to be the weakest link Indicators for research evaluation based on citations, library holdings, and productivity measures. Scientometrics, 83 (2), 337-354.

Full Text: 2010\Scientometrics83, 337.pdf

Abstract: In this study an attempt is made to establish new bibliometric indicators for the assessment of research in the Humanities. Data from a Dutch Faculty of Humanities was used to provide the investigation a sound empirical basis. For several reasons (particularly related to coverage) the standard citation indicators, developed for the sciences, are unsatisfactory. Target expanded citation analysis and the use of oeuvre (lifetime) citation data, as well as the addition of library holdings and productivity indicators enable a more representative and fair assessment. Given the skew distribution of population data, individual rankings can best be determined based on log transformed data. For group rankings this is less urgent because of the central limit theorem. Lifetime citation data is corrected for professional age by means of exponential regression.

Keywords: Assessment, Bibliometric, Bibliometric Indicators, Bibliometrics, Citation, Citation Analysis, Citations, Coverage, Evaluation, Humanities, Indicators, Library Holding Analysis, Productivity, Professional, Rankings, Regression, Research, Research Evaluation, Social-Sciences, Sociology

? Leydesdorff, L. and Meyer, M. (2010), The decline of university patenting and the end of the Bayh-Dole effect. Scientometrics, 83 (2), 355-362.

Full Text: 2010\Scientometrics83, 355.pdf

Abstract: University patenting has been heralded as a symbol of changing relations between universities and their social environments. The Bayh-Dole Act of 1980 in the USA was eagerly promoted by the OECD as a recipe for the commercialization of university research, and the law was imitated by a number of national governments. However, since the 2000s university patenting in the most advanced economies has been on the decline both as a percentage and in absolute terms. In addition to possible saturation effects and institutional learning, we suggest that the institutional incentives for university patenting have disappeared with the new regime of university ranking. Patents and spin-offs are not counted in university rankings. In the new arrangements of university-industry-government relations, universities have become very responsive to changes in their relevant environments.

Keywords: Commercialization, Entrepreneurial University, Indicator, Indicators, Industry-Government, Japan, Knowledge, Legislation, Mode-2, Patents, Rankings, Research, Technology, Triple Helix, Triple-Helix, Universities, University, University Patenting, University Research, USA

? Nederhof, A.J., van Leeuwen, T.N. and van Raan, A.F.J. (2010), Highly cited non-journal publications in political science, economics and psychology: A first exploration. Scientometrics, 83 (2), 363-374.

Full Text: 2010\Scientometrics83, 363.pdf

Abstract: In this study we show that it is possible to identify top-cited publications other than Web of Science (WoS) publications, particularly non-journal publications, within fields in the social and behavioral sciences. We analyzed references in publications that were themselves highly cited, with at least one European address. Books represent between 62 (psychology) and 81% (political science) of the non-WoS references, journal articles 15-24%. Books (economics, political science) and manuals (psychology) account for the most highly cited publications. Between 50 (psychology, political science) and 71% (economics) of the top-ranked most cited publications originated from the US versus between 18 (economics) and 38% (psychology) from Europe. Finally, it is discussed how the methods and procedures of the study can be optimized.

Keywords: Articles, Books, Books, Citation, Citation Analysis, Economics, Europe, Highly Cited Publications, Humanities, Journal, Methods, Non-Journal Publications, Political Science, Psychology, Publications, Rankings, Science, Social And Behavioral Sciences, Sociology, US, Web of Science

? Jokic, M., Zauder, K. and Letina, S. (2010), Croatian scholarly productivity 1991-2005 measured by journals indexed in Web of Science. Scientometrics, 83 (2), 375-395.

Full Text: 2010\Scientometrics83, 375.pdf

Abstract: The purpose of the research was to establish and inform about the features of productivity across all scholarly fields measured through journals indexed in WoS in which Croatian authors working in Croatian institutions published since independence (1991) to 2005. Total 19,929 papers in 2,946 journals were found. Of these, 17,875 papers were published in 2,690 science, technology and medicine (STM) journals, 1,869 papers were published in 178 social science journals, and 185 were published in 78 A&H journals according to custom classification used in the research. Special attention was given to publishing features of specific scholarly fields. The number of different journals in which the papers were published per year has doubled in the period (from 404 in 1991 to 894 in 2005). To support additional insight, a distinction between national and international journals was made and top 10% journals according to JCR 2005 categories were identified by IF. National journals accounted for 15.9% of STM papers, 77.6% of social science papers and 25.9% of A&H papers. Top 10% journals accounted for a total of 368 journals and 2,336 papers with significant variations across the subfields.

Keywords: Classification, Croatia, Databases, Humanities, Information, Journal Evaluation, Journals, Medicine, Philosophy, Productivity, Publications, Publishing, Research, Research Performance, Scholarly Productivity, Science, Scientific Productivity, Social-Sciences, Stm, Technology, Web of Science, WOS

? Persson, O. (2010), Are highly cited papers more international? Scientometrics, 83 (2), 397-401.

Full Text: 2010\Scientometrics83, 397.pdf

Abstract: Several bibliometric studies have shown that international or multicountry papers are generally more cited than domestic or single country papers. Does this also hold for the most cited papers? In this study, the citation impact of domestic versus international papers is analyzed by comparing the share of international papers among the hundred most cited papers in four research specialities, from three universities, four cities and two countries. It is concluded that international papers are not well represented among high impact papers in research specialities, but dominate highly cited papers from small countries, and from cities and institutions within them. The share of international papers among highly cited papers is considerably higher during 2001-2008 compared to earlier years for institutions, cities and countries, but somewhat less for two of the research fields and slightly higher for the other two. Above all, domestic papers from the USA comprise about half of the highly cited papers in the research specialities.

Keywords: Bibliometric, Bibliometric Studies, Citation, Citation Impact, Co-Authorship, Highly Cited Papers, Impact, International Co-Authorships, Research, Scientific Collaboration, Universities, USA

? Yang, P.Y. and Chang, Y.C. (2010), Academic research commercialization and knowledge production and diffusion: The moderating effects of entrepreneurial commitment. Scientometrics, 83 (2), 403-421.

Full Text: 2010\Scientometrics83, 403.pdf

Abstract: This paper empirically examines the relationship between research commercialization, entrepreneurial commitment, and knowledge production and diffusion in academia. Through a dataset of 229 academic patent inventors, this paper reveals that the effects of research commercialization on publication quantity, application-oriented research, and disclosure delay are moderated by the entrepreneurial commitment of faculty members. This paper concludes that encouraging entrepreneurial commitment of faculty members may possibly drive academics away from their traditional approaches in producing and diffusing knowledge.

Keywords: Academic Routine, Bayh-Dole Act, Commercialization, Diffusion, Entrepreneurial Commitment, Firms, Innovation, Knowledge, Knowledge Production, Nano-Science, Non-Inventing Peers, Of-Technology, Patent, Patenting And Licensing, Patents, Property-Rights, Publication, Research, Research Commercialization, United-States, University Technology-Transfer

? Saad, G. (2010), Applying the h-index in exploring bibliometric properties of elite marketing scholars. Scientometrics, 83 (2), 423-433.

Full Text: 2010\Scientometrics83, 423.pdf

Abstract: The h-index is a recent metric that captures a scholar’s influence. In the current work, it is used to: (1) obtain the h-index scores of the most productive scholars in the Journal of Consumer Research (JCR), and compare these to other elite scholars (including those of the other three premier marketing journals), (2) demonstrate the relationship between the h-indices and total number of citations of the top JCR producers, (3) examine the h-indices of Ferber winners (best interdisciplinary paper based on a doctoral dissertation published in JCR in a given year) and those having received honorable mentions, (4) explore the relationship between a marketing journal’s prestige and the corresponding hindex score of its editor. These varied analyses demonstrate the multitudinous ways in which the h-index can be used when investigating bibliometric phenomena within a given discipline.

Keywords: Bibliometric, Citation Analysis, Citations, Consumer-Research, Google Scholar, H Index, H-Index, Impact, Interdisciplinary, Journals, Level, Marketing Editors, Marketing Journals, Marketing Scholars, Performance, Perspective, Reference Diversity, Research, Scientists

? Joo, S.H. and Kim, Y. (2010), Measuring relatedness between technological fields. Scientometrics, 83 (2), 435-454.

Full Text: 2010\Scientometrics83, 435.pdf

Abstract: Intensified technology convergence, increasing relatedness between technological fields, is a mega-trend in 21st century science and technology. However, scientometrics has been unsuccessful in identifying this techno-economic paradigm change. To address the limitations and validity problems of conventional measures of technology convergence, we introduce a multi-dimensional contingency table representation of technological field co-occurrence and a relatedness measure based on the Mantel-Haenszel common log odds ratio. We used Korean patent data to compare previous and proposed methods. Results show that the proposed method can increase understanding of the techno-economic paradigm change because it reveals significant changes in technological relatedness over time.

Keywords: Co-Classification Analysis, Co-Occurrence, Coherence, Contingency Tables, Convergence, Incomplete Multi-Dimensional Contingency Table, Indicators, IPC Co-Occurrence, Mantel-Haenszel Common Odds Ratio, Methods, Paradigm, Patent, Patent Statistics, Relatedness, Science, Science And Technology, Scientometric Transaction Matrices, Scientometrics, Technology

? Egghe, L. (2010), Characteristic scores and scales in a Lotkaian framework. Scientometrics, 83 (2), 455-462.

Full Text: 2010\Scientometrics83, 455.pdf

Abstract: The characteristic scores and scales (CSS), introduced by Glänzel and Schubert (J Inform Sci 14: 123-127, 1988) and further studied in subsequent papers of Glänzel, can be calculated exactly in a Lotkaian framework. We prove that these CSS are simple exponents of the average number of items per source in general IPPs. The proofs are given using size-frequency functions as well as using rank-frequency functions. We note that CSS do not necessarily have to be defined as averages but that medians can be used as well. Also for these CSS we present exact formulae in the Lotkaian framework and both types of CSS are compared. We also link these formulae with the h-index.

Keywords: Average, Characteristic Scores and Scales, CSS, h Index, h-Index, Index, Lotka, Median

? Vilibic, I. (2010), How much the shared ocean or lake basins connect the researchers in neighbouring countries? Scientometrics, 83 (2), 463-470.

Full Text: 2010\Scientometrics83, 463.pdf

Abstract: This paper evaluates the importance of jointly conducted research versus national, when neighbouring countries are trying to study a topic of their mutual interest. The chosen topic was the shared ocean or lake basin. The number of non-mutual and mutual articles in the period 1999-2008 for seven pairs of neighbouring countries was analysed by extracting published articles and citations from the Web of Science database. It was found that mutual articles have generally better visibility than the non-mutual articles, valid even for large and developed countries. Also, the percentage of self-citations in the mutual articles is much lower than in the non-mutual ones. However, the citations of the non-mutual articles are influenced by the development of the country or, in some cases, by the development of the countries in which researchers from a certain country are presently working (this applies strongly to the Eastern Europe countries).

Keywords: Articles, Citations, Collaborative Research, Connecting Topic, Database, Europe, Index, Neighbouring Countries, Research, Researchers, Science, Scientific Co-Authorship, Self-Citations, Topic, Visibility, Web of Science

? Wray, K.B. (2010), Rethinking the size of scientific specialties: Correcting Price’s estimate. Scientometrics, 83 (2), 471-476.

Full Text: 2010\Scientometrics83, 471.pdf

Abstract: I aim to advance our understanding of the size of scientific specialties. Derek Price’s groundbreaking work has provided us with valuable conceptual tools and data for making progress on this issue. But, I argue that his estimate of 100 scientists per specialty is flawed. He fails to take into account the fact that the average publishing scientist publishes only 3.5 articles throughout her career. Hence, rather than consisting of 100 scientists, I have suggested that specialties are probably somewhat larger, perhaps somewhere between 250 and 600 scientists.

Keywords: Articles, Price, Publishing, Scientific Specialty, Size, Specialization, Tools

? Zhang, G.F., Xie, S.D. and Ho, Y.S. (2010), A bibliometric analysis of world volatile organic compounds research trends. Scientometrics, 83 (2), 477-492.

Full Text: 2009\Scientometrics-1.pdf, 2009\Scientometrics2009-1.pdf, 2010\Scientometrics83, 477.pdf

Abstract: This study explores a bibliometric approach to quantitatively assessing current research trends on volatile organic compounds, by using the related literature in the Science Citation Index (SCI) database from 1992 to 2007. The articles acquired from such literature were concentrated on the general analysis by scientific output, the research performances by countries, institutes, and collaborations, and the research trends by the frequency of author keywords, words in title, words in abstract, and keywords plus. Over the past years, there had been a notable growth trend in publication outputs, along with more participation and collaboration of countries and institutes. Research collaborative papers had shifted from the national inter-institutional to the international collaboration. Benzene, toluene, and formaldehyde were the three kinds of VOCs concerned mostly. Detection and removing, especially by adsorption and oxidation, of VOCs were to be the orientation of all VOCs research in the next few years.

Keywords: Abstract, Adsorption, Articles, Author Keywords, Benzene, Bibliometric, Bibliometric Analysis, Citation, Collaboration, Database, Exposure, Frequency, Growth, Hydrocarbons, Indoor Air, International, International Collaboration, Literature, Medicine, Organic, Organic Compounds, Oxidation, Publication, Quality, Removal, Research, Research Trend, Research Trends, SCI, Science, Science Citation Index, Scientific Output, Scientometrics, Toluene, Trend, Trends, VOCs, Volatile Organic Compounds, Water

? Bornmann, L., Weymuth, C. and Daniel, H.D. (2010), A content analysis of referees’ comments: How do comments on manuscripts rejected by a high-impact journal and later published in either a low- or high-impact journal differ? Scientometrics,