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89 (3), 759-779.

Full Text: 2011\Scientometrics89, 759.pdf

Abstract: In this article, we propose mapping and visualizing the core of scientific domains using social network analysis techniques derived from mathematical graph theory. In particular, the concept of Network of the Core is introduced which can be employed to visualize scientific domains by constructing a network among theoretical constructs, models, and concepts. A Network of the Core can be used to reveal hidden properties and structures of a research domain such as connectedness, centrality, density, structural equivalence, and cohesion, by modeling the casual relationship among theoretical constructs. Network of the Core concept can be used to explore the strengths and limitations of a research domain, and graphically and mathematically derive the number research hypotheses. the Network of the Core approach can be applied to any domain given that the investigator has a deep understanding of the area under consideration, a graphical or conceptual view (in the form of a network of association among the theoretical constructs and concepts) of the scientific domain can be obtained, and an underlying theory is available or can be constructed to support Network of the Core formation. Future research directions and several other issues related to the Network of the Core concept are also discussed.

Keywords: Analysis, Association, Centrality, Constructs Theories and Concepts, Graph Theory, Information System, Journals, Mapping, Model, Modeling, Network, Network of the Core, Research, Science-Citation-Index, Social, Social Network, Social Network Analysis, South-Korea, Systems, Technology, Theory, Visualization

? Chen, Y.S. and Shih, C.Y. (2011), Re-examine the relationship between patents and Tobin’s q. Scientometrics, 89 (3), 781-794.

Full Text: 2011\Scientometrics89, 781.pdf

Abstract: Since the relationship between patents and Tobin’s q is confusing, this paper utilizes panel threshold regression model to re-examine the relationship between patent counts/sales and Tobin’s q. This study finds out patent citations/sales has a single threshold effect on the relationship between patent counts/sales and Tobin’s q in the US pharmaceutical industry. the single threshold value of patent citations/sales is 328.81, and it divides the value of patent citations/sales into two regimes: the first regime (patent citations/sale a parts per thousand broken vertical bar 328.81) and the second regime (patent citations/sale > 328.81). the results indicate that patent counts/sales positively affect Tobin’s q in the two regimes. In addition, this study demonstrates that the extent of the positive effect of patent counts/sales on Tobin’s q is different. This study verifies that patent citations/sales moderates the relationship between patent counts/sales and Tobin’s q. Once patent citations/sales is below the threshold value, the extent of the positive relationship between patent counts/sales and Tobin’s q is the most. Therefore, this study finds out that the first regime is optimal.

Keywords: Empirical-Analysis, Industry, Innovation, Intellectual Property, Least-Squares Estimator, Market Value, Model, Multiple Indicators, Nuisance Parameter, Panel Threshold Regression Model, Patent, Patent Analysis, Patent Citation, Patent Count, Pharmaceutical-Industry, Research-And-Development, Threshold Autoregressive Model, Tobin’s q, US

? Cho, T.S. and Shih, H.Y. (2011), Patent citation network analysis of core and emerging technologies in Taiwan: 1997-2008. Scientometrics, 89 (3), 795-811.

Full Text: 2011\Scientometrics89, 795.pdf

Abstract: Identifying core technologies and emerging technologies is essential for formulating national technology strategies and policies for pursuing technological competitive advantage. This study presents a quantitative method for identifying core technologies and emerging technologies in the Taiwan technological innovation system. the objective was to gain an overview of technological development in the country by analyzing patent citation networks and by identifying five core technologies and emerging technologies in Taiwan based on United States Patent and Trademark Office (USPTO) patents granted to Taiwan during 1997-2008. the findings indicate the most appropriate management of technology and innovation and the best patent strategy and technology policy that the Taiwan government should pursue. Research institutes, industries and academia are also given research directions for choosing the technologies in which they should invest resources in order to strengthen the Taiwan technological innovation system and to increase its competitive advantage in global technology.

Keywords: Analysis, Citation, Citation Networks, Core Technology, Development, Emerging Technology, Industries, Innovation, Management, Network, Network Analysis, Overview, Patent, Patent Citation, Policies, Policy, Quantitative, Research, Statistics, Strategy, Taiwan, USPTO

? Messinis, G. (2011), Triadic citations, country biases and patent value: The case of pharmaceuticals. Scientometrics, 89 (3), 813-833.

Full Text: 2011\Scientometrics89, 813.pdf

Abstract: Triadic patents minimise home bias effects in studies that focus on patent counts as a measure of innovative activity. Yet, biases in qualitative patent indicators have been largely neglected. This article advocates that forward patent citations, and triadic citations in particular, can illuminate further on home bias, self citations, and the speed of knowledge flows for drug patents published by the USPTO for the period 1980-2008. the evidence shows that triadic citations help to minimize the home bias in citations as well as to make patent quality more transparent. Also, it indicates that self citations and the age distribution of citations are important factors to consider when explaining cross-country differences in pharmaceutical citations.

Keywords: Bias, Biases, Citations, Differences, Drug, EPO, Knowledge, Knowledge Spillovers, OECD Countries, Patent, Patents, Pharmaceuticals, Quality, Self-Citations, Triadic Citations, USPTO

? Bornmann, L., Schier, H., Marx, W. and Daniel, H.D. (2011), Does the h Index for assessing single publications really work? A case study on papers published in chemistry. Scientometrics, 89 (3), 835-843.

Full Text: 2011\Scientometrics89, 835.pdf

Abstract: Schubert (Scientometrics, 78:559-565, 2009) showed that “a Hirsch-type index can be used for assessing single highly cited publications by calculating the h Index of the set of papers citing the work in question” (p. 559). To demonstrate that this single publication h Index is a useful yardstick to compare the quality of different publications; the index should be strongly related to the assessment by peers. In a comprehensive research project we investigated the peer review process of the Angewandte Chemie International Edition. the data set contains manuscripts reviewed in the year 2000 and accepted by the journal or rejected but published elsewhere. Single publication h Index values were calculated for a total of 1,814 manuscripts. the results show a correlation in the expected direction between peer assessments and single publication h Index values: After publication, manuscripts with positive ratings by the journal’s reviewers show on average higher h Index values than manuscripts with negative ratings by reviewers (and later published elsewhere). However, our findings do not support Schubert’s (2009) assumption that the additional dimension of indirect citation influence contributes to a more refined picture of the most cited papers.

Keywords: Angewandte-Chemie, Assessment, Chemistry, Citation, h Index, h-Index, Highly-Cited, Journal, Journal Peer Review, Papers, Peer Review, Peer-Review, Publication, Publications, Quality, Research, Review, Scientometrics, Single Publication h Index

? Han, C.S. (2011), On the demographical changes of US research doctorate awardees and corresponding trends in research fields. Scientometrics, 89 (3), 845-865.

Full Text: 2011\Scientometrics89, 845.pdf

Abstract: the demographical data of the National Science Foundation on research doctorate awardees in the United States is studied in this article. While the overall growth rate of research doctorate awardees is approximately the same as the growth rate of the whole population in the U.S. there are considerable changes in the sub-populations of research doctorate awardees. the demographic data is evaluated/discussed in more detail with respect to gender and research fields of the doctorate awardees. In particular the notion of the primacy of technology over science in the postmodern era is examined and found to be justified.

Keywords: Age, Demography, Education, Gender, Growth, Labor, Research, Research Doctorates, Research Fields, Science, Science, System, Technology, Trends, US

? Chen, L.C. and Lien, Y.H. (2011), Using author co-citation analysis to examine the intellectual structure of e-learning: A MIS perspective. Scientometrics, 89 (3), 867-886.

Full Text: 2011\Scientometrics89, 867.pdf

Abstract: the increased use of e-learning techniques as an accepted form of teaching has resulted in a growing volume of academic research dedicated to their assessment. Despite the importance of the technique, there is little comprehensive knowledge on e-learning, especially in non-educational fields. Author co-citation analysis (ACA) is an analytical method for identifying the intellectual structure of specific knowledge domains through the relationship between two similar authors. ACA has been applied to many fields, such as information retrieval, knowledge management, and strategic management; however, it has not yet been used to analyze e-learning development. This study examines the intellectual structure of e-learning from the perspective of management information systems (MIS). By applying the ACA method, we analyze and categorize international and Taiwanese research topics into clusters. Our results show that Taiwanese authors put more effort into practical studies of business training, while international authors focus on a users’ psychological reaction to learning context. Altogether, our research provides a clear intellectual analysis of e-learning practices from 1996 to 2009, enabling us to thoroughly study and understand the influence of these techniques on modern education.

Keywords: Analysis, Assessment, Author, Author Co-Citation Analysis, Authors, Co-Citation Analysis, Cocitation, Development, E-Learning, Education, Information, Information Retrieval, Information Systems, Information-Retrieval, Intellectual Structure, Journals, Knowledge, Knowledge Domains, Learning, Management, Management Field, MIS, Psychological, Research, Research Topics, Science, Teaching, Topics, Training

? Wolszczak-Derlacz, J. and Parteka, A. (2011), Efficiency of European public higher education institutions: A two-stage multicountry approach. Scientometrics, 89 (3), 887-917.

Full Text: 2011\Scientometrics89, 887.pdf

Abstract: the purpose of this study is to examine efficiency and its determinants in a set of higher education institutions (HEIs) from several European countries by means of non-parametric frontier techniques. Our analysis is based on a sample of 259 public HEIs from 7 European countries across the time period of 2001-2005. We conduct a two-stage DEA analysis (Simar and Wilson in J Economet 136:31-64, 2007), first evaluating DEA scores and then regressing them on potential covariates with the use of a bootstrapped truncated regression. Results indicate a considerable variability of efficiency scores within and between countries. Unit size (economies of scale), number and composition of faculties, sources of funding and gender staff composition are found to be among the crucial determinants of these units’ performance. Specifically, we found evidence that a higher share of funds from external sources and a higher number of women among academic staff improve the efficiency of the institution.

Keywords: Analysis, Australian Universities, Data Envelopment Analysis, DEA, Determinants, Education, Efficiency, Empirical-Analysis, Funding, Gender, Higher Education, Methodology, Nonparametric, Nonparametric Frontier Models, Performance, Research Output, Research Productivity, Secondary-Schools, Two-Stage DEA, UK Universities, Variability, Women

? Yi, H. and Jie, W. (2011), A bibliometric study of the trend in articles related to eutrophication published in Science Citation Index. Scientometrics, 89 (3), 919-927.

Full Text: 2011\Scientometrics89, 919.pdf

Abstract: A keyword analysis was applied in this work to evaluate research trends of eutrophication papers published between 1991 and 2010 in any journal of all the subject categories of the Science Citation Index compiled by Institute for Scientific Information, Philadelphia, USA. Eutrophication was used as a keyword to search parts of titles, abstracts, or keywords. the published output analysis showed that eutrophication research steadily increased over the past 20 years and the annual publication output in 2008, 2009, 2010 were about four times that of 1991. the whole paper published by China ranked at 3rd, but these papers’ IF were lower than the average of the world. “Water Framework Directive” and “Life Cycle Assessment” were two of the most frequently used author keywords in the period between 1999 and 2010 whilst they did not appear before 1998. These new conception indicated eutrophication research trend was changing to policy and management from technological researches.

Keywords: Analysis, Author, Bibliometric, Bibliometric Study, China, Citation, Eutrophication, Journal, Life Cycle Assessment, Management, Nitrogen, Papers, Phosphorus, Policy, Pollution, Publication, Publication Output, Research, Research Trend, Research Trends, SCI, Science, Science Citation Index, Scientific Information, Trend, Trends, USA, Water, Water Framework Directive

? Abramo, G., D’Angelo, C. and Di Costa, F. (2011), National research assessment exercises: A comparison of peer review and bibliometrics rankings. Scientometrics, 89 (3), 929-941.

Full Text: 2011\Scientometrics89, 929.pdf

Abstract: Development of bibliometric techniques has reached such a level as to suggest their integration or total substitution for classic peer review in the national research assessment exercises, as far as the hard sciences are concerned. In this work we compare rankings lists of universities captured by the first Italian evaluation exercise, through peer review, with the results of bibliometric simulations. the comparison shows the great differences between peer review and bibliometric rankings for excellence and productivity.

Keywords: Assessment, Bibliometric, Bibliometrics, Differences, Evaluation, Exercise, Exercises, Indicators, Italy, Peer Review, Peer-Review, Productivity, Rankings, Research, Research Assessment, Research Productivity, Review, Sciences, Universities, University

? Grauwin, S. and Jensen, P. (2011), Mapping scientific institutions. Scientometrics, 89 (3), 943-954.

Full Text: 2011\Scientometrics89, 943.pdf

Abstract: We have developed a set of routines that allows to draw easily different maps of the research carried out in a scientific institution. Our toolkit uses OpenSource elements to analyze bibliometric data gathered from the Web of Science. We take the example of our institution, ENS de Lyon, to show how different maps, using co-occurrence (of authors, keywords, institutionsaEuro broken vertical bar) and bibliographic coupling can be built. These maps may become a valuable tool for discussing institutions’ policies, as they offer different views on the institution at a global scale.

Keywords: Authors, Bibliographic, Bibliographic Coupling, Bibliometric, Governance, Heterogeneous, Institutions, Map, Maps, Policies, Research, Science, Scientific Institutions

? Slyder, J.B., Stein, B.R., Sams, B.S., Walker, D.M., Beale, B.J., Feldhaus, J.J. and Copenheaver, C.A. (2011), Citation pattern and lifespan: A comparison of discipline, institution, and individual. Scientometrics, 89 (3), 955-966.

Full Text: 2011\Scientometrics89, 955.pdf

Abstract: Citation frequency is often used in hiring and tenure decisions as an indicator of the quality of a researcher’s publications. In this paper, we examine the influence of discipline, institution, journal impact factor, length of article, number of authors, seniority of author, and gender on citation rate of top-cited papers for academic faculty in geography and forestry departments. Self-citation practices and patterns of citation frequency across post-publication lifespan were also examined. Citation rates of the most-highly cited paper for all tenured forestry (N = 122) and geography (N = 91) faculty at Auburn University, Michigan State University, Northern Arizona University, Oklahoma State University, Pennsylvania State University, Texas A&M University, University of Florida, University of Massachusetts, University of Washington, and Virginia Tech were compared. Foresters received significantly more citations than geographers (t = 2.46, P = 0.02) and more senior authors received more citations than junior researchers (r (2) = 0.14, P = 0.03). Articles published in journals with higher impact factors also received more citations (r (2) = 0.28, P = 0.00). the median self-citation rate was 10% and there was no temporal pattern to the frequency of citations received by an individual article (x (2) = 176). Our results stress the importance of only comparing citation rates within a given discipline and confirm the importance of author-seniority and journal rankings as factors that influence citation rate of a given article.

Keywords: Article Length, Articles, Author, Author Seniority, Authors, Citation, Citation Biases, Citation Rates, Citations, Co-Authorship, Faculty, Frequency, Gender, Gender-Differences, Hiring, Impact, Impact Factor, Impact Factors, Journal, Journal Impact, Journal Impact Factor, Journal Rankings, Journals, Librarianship, Lifespan, Papers, Productivity, Publication, Publications, Quality, Rankings, Researchers, Scientists, Self-Citation, Sex-Differences, Stress, Trends, University

? Jeong, S., Choi, J.Y. and Kim, J. (2011), the determinants of research collaboration modes: Exploring the effects of research and researcher characteristics on co-authorship. Scientometrics, 89 (3), 967-983.

Full Text: 2011\Scientometrics89, 967.pdf

Abstract: Given the high priority accorded to research collaboration on the assumption that it yields higher productivity and impact rates than do non-collaborative results, research collaboration modes are assessed for their benefits and costs before being executed. Researchers are accountable for selecting their collaboration modes, a decision made through strategic decision making influenced by their environments and the trade-offs among alternatives. In this context, by using bibliographic information and related internal data from the Korea Institute of Machinery and Materials (KIMM, a representative Korean government institute of mechanical research), this paper examines the suggested yet unproven determinants of research collaboration modes that the SCI data set cannot reveal through a Multinomial Probit Model. the results indicate that informal communication, cultural proximity, academic excellence, external fund inspiration, and technology development levels play significant roles in the determination of specific collaboration modes, such as sole research, internal collaboration, domestic collaboration, and international collaboration. This paper refines collaboration mode studies by describing the actual collaboration phenomenon as it occurs in research institutes and the motivations prompting research collaboration, allowing research mangers to encourage researchers to collaborate in an appropriate decision-making context.

Keywords: Bibliographic, Citations, Co-Authorship, Coauthorship, Collaboration, Communication, Costs, Decision Making, Decision-Making, Determinants, Development, Domestic Collaboration, Economics, Impact, Information, International Collaboration, Model, Multinomial Probit Model, Multinomial Probit Model, Organization, Productivity, Research, Research and Development Strategy, Research Collaboration, Researchers, Rewards, SCI, Science, Scientists Collaboration

? Khan, G.F. and Park, H.W. (2012), Editorial: Triple Helix and innovation in Asia using scientometrics, webometrics, and informetrics. Scientometrics, 90 (1), 1-7.

Full Text: 2012\Scientometrics90, 1.pdf

Abstract: There is a burgeoning interest among academic scientists and policy-makers in the development and employment of TH (Triple Helix) and WSI (Webometrics, Scientometrics, and Informetrics) research methods. However, the international literature has not systematically examined TH and WSI approaches in an Asian context. Furthermore, previous literature published in international journals does not adequately address the social forces shaping TH development in Asia. Therefore, the purpose of this special issue is to bring researchers together to discuss university-industry-government (U-I-G) relations and innovation diffusion in Asia employing WSI alongside other methods.

Keywords: Asia, Development, Diffusion, Dynamics, Employment, Industry-Government Relations, Informetrics, Innovation, Interest, Journals, Literature, Research, Researchers, Scientometrics, Social, Triple Helix, University-Industry-Government Relations, Webometrics

? Cho, S.E. and Park, H.W. (2012), Government organizations’ innovative use of the Internet: The case of the Twitter activity of South Korea’s Ministry for Food, Agriculture, Forestry and Fisheries. Scientometrics, 90 (1), 9-23.

Full Text: 2012\Scientometrics90, 9.pdf

Abstract: Noting the government’s role in diffusing information across various sectors of society, this study analyzes the Twitter activity of the Ministry for Food, Agriculture, Forestry and Fisheries (MFAFF), one of Korea’s government organizations. From a broad perspective, this study provides a better understanding of innovation activity mediated by social media-particularly the government’s Twitter activity, a topic that has not been addressed by previous webometric research on Triple Helix relationships-by employing social network analysis and content analysis. The results indicate some limitations of the MFAFF’s activity on Twitter as a mutual communication channel, although Twitter has the potential to facilitate risk management. Further, based on the MFAFF’s confined use of its Twitter account, the results suggest that its Twitter account can be an effective information distribution channel, indicating Twitter’s value as a communication tool for innovation activity through social media. This study provides an empirical analysis of the government’s Twitter activity and contributes to the literature by providing an in-depth understanding of the Triple Helix relationship on the Web.

Keywords: Agriculture, Analysis, Communication, Content Analysis, Government, Information, Innovation, Innovative, Internet, Literature, Management, Network, Network Analysis, Policy Promotion, Research, Risk, Semantic Network Analysis, Social, Social Network, Social Network Analysis, Twitter, Web

? Choi, S. (2012), Core-periphery, new clusters, or rising stars? International scientific collaboration among ‘advanced’ countries in the era of globalization. Scientometrics, 90 (1), 25-41.

Full Text: 2012\Scientometrics90, 25.pdf

Abstract: Assuming the OECD member states as ‘advanced’ nations equipped with basic scientific capacities, the present research addresses the network configuration of these countries in international scientific collaboration and the transformation of this network along with globalization. The result suggests that geographical, linguistic, and economic affinities did not have a meaningful impact on the formation of co-authorship network between ‘advanced’ nations, different from previous research results which claimed their importance on international cooperation. Globalization facilitated by the development of information and transportation technologies was found to influence the co-authorship link between countries, but not to accelerate centralization of the network in the past 15 years. Though the core-periphery pattern still persists, new rising stars, which are Korea and Turkey, have emerged in the co-authorship network among ‘advanced’ nations. These two countries, having a rapid increase in the share of degree centrality from 1995 to 2010, had strategic financial support from the government which stimulated the collaboration between universities and industries and emphasized the development of science and engineering fields.

Keywords: Centrality, Co-Authorship, Co-Authorship Network, Coauthorship, Collaboration, Cooperation, Development, Financial Support, Globalization, Government-University-Industry, Impact, Industries, Information, Innovation, International Scientific Collaboration, Knowledge, Korea, Korea, Network, OECD, Patterns, Reflections, Research, Science, Scientific Collaboration, Technology, Transportation, Triple-Helix, Turkey, Universities

? Choi, S., Park, J.Y. and Park, H.W. (2012), Using social media data to explore communication processes within South Korean online innovation communities. Scientometrics,



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