Personal Research Database

Full Text: 2011\Scientometrics87, 175.pdf

Abstract: Patents are the manifestation of the industry’s research and development (R&D) endeavor, therefore, this paper studies the industry evolution of and key technologies in China from the perspective of patent analysis. Patents in six types of industries, including Chemical (excluding Drugs), Computers and Communications, Drugs and Medical, Electrical and Electronics (E&E), Mechanical, and Others are analyzed in this study. Findings from the analysis show a steady increase of US granted utility patents in China as well as percentage of these patents in the world over the period between 2003 and 2008. All the above industries in China have been growing rapidly during this period, which is very different from the global industry development. Despite the rapid development, the citation rates of these patents have been low, reflecting a need for improvement in the quality of patents and R&D performance for these six industries in China in order to exert more influence in the industry world. The analysis on patents also reveals China’s industry distribution to be similar to the global industry distribution, with the exception of E&E industry which weights over one third of the total patents in technologies. The E&E industry is also the field with largest economic growth which rises more rapidly after 2006 with a sudden increase of patents in USPC 361. Detailed tracking of the key technology evolution reveals that 90% of the newly issued patents in USPC 361 after 2006 are owned by Foxconn Technology Co., Ltd, pointing to an unbalanced R&D environment in China’s E&E industry sector. By providing the insight into the evolution of China’s industrial and technological development through the perspective of patent analysis, this paper hopes to provide an objective statistic reference for future policy directions and academic researches.

Keywords: Analysis, China, Citation, Co, Development, Distribution, E&E, Economic, Environment, Evolution, Field, Germany, Growth, Improvement, Industry Type, Key Technology, Patent, Patent Analysis, Patents, Performance, Policy, Quality, Quality of, Rapid Development, Rates, Reference, Research, Research and Development, Science, Sector, Technologies, Technology, US, USPC 361, Utility, World

? Campanario, J.M. (2011), Empirical study of journal impact factors obtained using the classical two-year citation window versus a five-year citation window. Scientometrics, 87 (1), 189-204.

Full Text: 2011\Scientometrics87, 189.pdf

Abstract: In this article I study characteristics of the journal impact factor (JIF) computed using a 5-year citation window as compared with the classical JIF computed using a 2-year citation window. Since 2007 ISI-Thomson Reuters has published the new 5-year impact factor in the JCR database. I studied changes in the distribution of JIFs when the citation window was enlarged. The distributions of journals according their 5-year JIFs were very similar all years studied, and were also similar to the distribution according to the 2-year JIFs. In about 72% of journals, the JIF increased when the longer citation window was used. Plots of 5-year JIFs against rank closely followed a beta function with two exponents. Thus, the 5-year JIF seems to behave very similarly to the 2-year JIF. The results also suggest that gains in JIF with the longer citation window tend to distribute similarly in all years. Changes in these gains also tend to distribute similarly from 1 year to the following year.

Keywords: Changes, Characteristics, Citation, Citation Window, Database, Distribution, Function, Impact, Impact Factor, Impact Factors, Journal, Journal Impact, Journal Impact Factor, Journal Impact Factors, Journals, Quality, Rank, Science

? Fakhree, M.A.A. and Jouyban, A. (2011), Scientometric analysis of the major Iranian medical universities. Scientometrics, 87 (1), 205-220.

Full Text: 2011\Scientometrics87, 205.pdf

Abstract: Nowadays, scientometrics has become an important field of study to monitor the progresses in scientific performance of a research group, a department, a university etc. A number of scientometrical studies have been done about Iranian scientific outcome in recent years. But there is no comparison between major Iranian medical universities. In this study, by using Scopus as search engine, the scientific outcomes of the Iran University of Medical Sciences, Isfahan University of Medical Sciences, Mashhad University of Medical Sciences, Shahid Beheshti University of Medical Sciences, Shiraz University of Medical Sciences, Tabriz University of Medical Sciences, and Tehran University of Medical Sciences have been compared with each other. These universities were compared by the number of published articles per year, number of citations received per year, number of citations received per year per article, total H-indices, top ten authors, and top ten journals. The results of this study show that the order of the studied universities in research performance is as follow: Tehran > Shiraz = Shahid Beheshti > Isfahan = Iran > Tabriz = Mashhad universities of medical sciences. In addition, the data of Tehran University of Medical Sciences as the top medical university of Iran was compared with some of top medical universities around the world.

Keywords: Analysis, Authors, Citations, Comparison, Data, Engine, Field, Iran, Journals, Medical, Number of Article, Outcome, Outcomes, Performance, Recent, Research, Research Performance, Sciences, Scientific Performance, Scientometric, Scientometrics, Scopus, Universities, University, University of Medical Science, World

? Nakamura, H., Suzuki, S., Hironori, T., Kajikawa, Y. and Sakata, I. (2011), Citation lag analysis in supply chain research. Scientometrics, 87 (2), 221-232.

Full Text: 2011\Scientometrics87, 221.pdf

Abstract: Interdisciplinary research is expected to contribute to industrial and economic development. However, due to expansion of knowledge and the fragmentation of research fields, knowledge dissemination among different research fields is rare and we need a methodology for measuring such dissemination and promoting it. In this paper, we introduce a citation lag analysis of inter- and intra-clusters extracted by citation network analysis as a new indicator to represent the speed of knowledge diffusion in subfields of a research field. A case study was performed within supply chain research to investigate knowledge integration among its subfields. Based on the analysis, we discuss knowledge structure and reciprocal influence of subfields in supply chain research. This study contributes to offering a new approach for analyzing and understanding the development of boundary spanning research.

Keywords: Agile, Analysis, Approach, Boundary Spanning, Case Study, Citation, Citation Network, Coordination, Demand Uncertainty, Development, Diffusion, Economic, Economic Development, Field, Fragmentation, Indicator, Information, Integration, Interdisciplinarity, Interdisciplinary, Knowledge, Knowledge Diffusion, Management, Methodology, Network, Network Analysis, Product, Research, Research on Research, Science, Structure, Supply Chain, Technology, Understanding

? Sobkowicz, P. (2011), Simulations of opinion changes in scientific communities. Scientometrics, 87 (2), 233-250.

Full Text: 2011\Scientometrics87, 233.pdf

Abstract: We present a computer model of opinion changes in a scientific community. The study takes into account two mechanisms of opinion formation for individual scientists: influence of coworkers with whom there is direct interaction and cumulative influence of the subject literature. We analyze the evolution of relative popularity of different competing theories, depending on their accuracy in describing observed phenomena and on current social support of the theory. We include such aspects as finite lifetime of publication impact and tendency to ‘defend’ one’s own opinions, especially if they were already published. A special class of publications, delivering crucial observational or experimental data, which may revolutionize the scientific worldview is considered. The goal of the model is to discover which conditions lead to quick domination of one theory over others, or, conversely, in which situations one may expect several explanations to co-exist.

Keywords: Accuracy, Agent Based Societies, Article Decay, Bells Theorem, Changes, Community, Cumulative, Data, Evolution, Experimental, Experimental Tests, Impact, Information, Interaction, Lead, Literature, Mechanisms, Metascience, Model, Models, Networks, Observational, Opinion Formation, Opinions, Publication, Publications, Quantum-Mechanics, Selective Exposure, Social, Social Simulations, Social Support, Support, Theory

? Gazni, A. and Didegah, F. (2011), Investigating different types of research collaboration and citation impact: A case study of Harvard University’s publications. Scientometrics, 87 (2), 251-265.

Full Text: 2011\Scientometrics87, 251.pdf

Abstract: This study aims to investigate the influence of different patterns of collaboration on the citation impact of Harvard University’s publications. Those documents published by researchers affiliated with Harvard University in WoS from 2000-2009, constituted the population of the research which was counted for 124,937 records. Based on the results, only 12% of Harvard publications were single author publications. Different patterns of collaboration were investigated in different subject fields. In all 22 examined fields, the number of co-authored publications is much higher than single author publications. In fact, more than 60% of all publications in each field are multi-author publications. Also, the normalized citation per paper for co-authored publications is higher than that of single author publications in all fields. In addition, the largest number of publications in all 22 fields were also published through inter-institutional collaboration and were as a result of collaboration among domestic researchers and not international ones. In general, the results of the study showed that there was a significant positive correlation between the number of authors and the number of citations in Harvard publications. In addition, publications with more number of institutions have received more number of citations, whereas publications with more number of foreign collaborators were not much highly cited.

Keywords: Authors, Case Study, Citation, Citation Impact, Citations, Collaboration, Collaboration Patterns, Correlation, Field, General, Harvard University, Impact, Institutions, International, International Scientific Collaboration, Model, Population, Publications, Quality, Records, Research, Research Collaboration, University

? Khan, G.F., Moon, J., Park, H.W., Swar, B. and Rho, J.J. (2011), A socio-technical perspective on e-government issues in developing countries: A scientometrics approach. Scientometrics, 87 (2), 267-286.

Full Text: 2011\Scientometrics87, 267.pdf

Abstract: Many researchers have analyzed e-government literature as a whole or a specific area to focus on statistical methodologies, lessons learnt, or problem related to the area. However, no investigation from socio-technical perspective on e-government issues, in developing countries (DCs), has been carried out. Utilizing scientometrics approach, we analyzed and synthesized e-government (EG) literature that deals with the issues/topics in developing countries from the lens of socio-technical theory (STT). 145 articles from 7 core e-government journals published during the last decade were selected and reviewed for analyzing e-government literature related to developing countries. The growth pattern of e-government literature showed that e-government studies pertaining developing countries issues/topics have rapidly increased during the last decade, covering a range of topics/issues studied from socio-technical aspects. We found that e-government literature in developing countries has somewhat adopted a balanced approach and is moving away from a merely theoretical or conceptual bases toward an empirical foundation, however, the literature lacked depth and balance in terms of issues/topics discussed and methodologies applied. In the light of the findings, strengths, limitations, and future directions for e-government research in developing countries are discussed.

Keywords: Africa, Approach, Challenges, Core E-Government Journals, Developing, Developing Countries, E-Government Issues, Topics, E-Government Research, Growth, Investigation, Journals, Lessons, Literature, Methodologies, Pattern, Research, Scientometrics, Scientometrics Approach, Sector, Shape of E-Government Literature, Socio-Technical Theory, Systems, Theory

? Egghe, L. (2011), Mathematical derivation of the scale-dependence of the h-index and other h-type indices. Scientometrics, 87 (2), 287-292.

Full Text: 2011\Scientometrics87, 287.pdf

Abstract: We present a mathematical derivation of the scale-dependence of the h-index. This formula can be used in two cases: one where the units are scale-dependent and one where the units are not scale-dependent. Examples are given.

Keywords: h Index, h-Index, h-Type Index, Hirsch-Index, Indices, Scale

? Fang, H. (2011), Peer review and over-competitive research funding fostering mainstream opinion to monopoly. Scientometrics, 87 (2), 293-301.

Full Text: 2011\Scientometrics87, 293.pdf

Abstract: The aim of peer review is to separate the wheat from the chaff for publication and research funding. In the excessive competition, this mechanism would only select the wheat of mainstream. Up to now, almost all discussions on the consequence of the short-comings of peer review are limited to qualitatively description. I propose a model of “peer-group-assessed-grant-based-funding-system” combined with tenure system and over-competitive research funding review process. It is the first on the quantitatively investigation which dramatizes the current short-comings of the process. My simulation shows that it takes about two or three generations of researchers for the mainstream of a complicated research topic obtaining monopoly supremacy, with only the aid of the mechanism the model described. Based on the computation results, suggestions are proposed to avoid loss of self-correction capability on popularity determined single research direction which could be wrong on very complicated research topics.

Keywords: Competition, Computation, Excessive Competition, First, Funding, Innovation, Investigation, Mainstream, Mathematical Model, Mechanism, Model, Peer Review, Peer-Review, Publication, Research, Research Funding, Review, Review Process, Simulation, Tenure

? Feeley, T.H., Lavail, K.H. and Barnett, G.A. (2011), Predicting faculty job centrality in communication. Scientometrics, 87 (2), 303-314.

Full Text: 2011\Scientometrics87, 303.pdf

Abstract: Data from 1,581 faculty members affiliated with 98 doctoral-granting Communication programs in the United States were analyzed to determine normative publication rates and predictors of position centrality in the faculty hiring network. The Communication Institute for Online Scholarship (CIOS) database was used to measure publication frequency in refereed journals. Position centrality was measured using a Communication program’s relative position in the hiring network as established by Barnett, Danowski, Feeley, and Stalker (2010). The average publication frequencies by academic rank were as follows: assistant professors averaged 2.29 articles (N = 441, SD = 3.29), associate professors averaged 6.69 articles (N = 497, SD = 5.77), professors averaged 10.92 articles (N = 542, SD = 12.09). Results from multiple regression analyses indicate the number of publications for faculty members and position centrality of where one earned his or her doctoral degree significantly predicted current position centrality. Publication numbers for one’s advisor and year of earned doctorate did not emerge as significant predictors of position centrality.

Keywords: Advisor, Analyses, Centrality, Communication, Database, Education, Faculty, Hiring, Journals, Measure, Multiple Regression, N, Network, Networks, Ph.D.S, Placement, Political-Science, Predictors, Publication, Publications, Rank, Rates, Regression, Research Productivity, Speech-Communication, United States

? Onyancha, O.B. and Maluleka, J.R. (2011), Knowledge production through collaborative research in sub-Saharan Africa: How much do countries contribute to each other’s knowledge output and citation impact? Scientometrics, 87 (2), 315-336.

Full Text: 2011\Scientometrics87, 315.pdf

Abstract: This paper examines co-authorship of research articles in Thomson Reuters citation indexes in order to assess knowledge co-production in selected sub-Saharan African countries. Two indicators, namely publications and citations, were analysed to establish the patterns of knowledge co-production and its scientific impact, respectively. The study found that knowledge production through collaborative research among sub-Saharan African countries is minimal and contributes only a small percentage when compared to collaboration between sub-Saharan African countries and their foreign counterparts. Similarly, the scientific impact of international collaboration was higher than that of continental collaboration. Countries belonging to the same geographic region contributed to each other’s knowledge production more frequently than they did to the countries outside their region. It is recommended that, for knowledge co-production in sub-Saharan Africa to improve, various measures such as encouraging student and staff exchange, hosting more regional conferences and encouraging research networks need to be put in place.

Keywords: Africa, Citation, Citation Impact, Citation Indexes, Citations, Co-Authorship, Coauthorship, Collaboration, Collaborative Research, Conferences, Impact, Indicators, International, Knowledge, Knowledge Production, Networks, Patterns, Publications, Region, Regional, Research, Research Collaboration, Science, Scientific Impact, Sector, Small, Student, Sub-Saharan Africa, Thomson-Reuters, Universities

? Breimer, L.H. and Leksell, J. (2011), Longitudinal and cross-sectional study of registered nurses in Sweden who undertake a PhD showing that nurses continue to publish in English after their PhD but male nurses are more productive than female nurses. Scientometrics, 87 (2), 337-345.

Full Text: 2011\Scientometrics87, 337.pdf

Abstract: A review of 649 PhDs undertaken by Swedish nurses and midwives found no evidence that they stop publishing in English after their PhD. The proportion of 70% for any publication in English was similar to that of MDs. A higher proportion of male than female nurses were high publishers of six or more (52% vs. 23%) and eight or more papers (44% vs. 14%) in a 5 year period. The standard of the PhDs of Swedish nurses was comparable to those of other biomedical PhDs and was consistent in pattern over the past two decades. The gender pattern of external examiners of female nurses evolved in that 1992-94, 75% were men, during 1996-97, 54% were men and from 2000 onwards 46% were men. Nurses were examined by foreign examiners in 20% of examinations. They came primarily from Norway and USA.

Keywords: Biomedical, Demographics, Evidence, External Examiners, Female, Gender, Gender Differences, Male, Men, Midwives, Norway, Nurses, Nurses And Midwives, Papers, Pattern, Phd, Publication, Publication Pattern, Publishing, Review, Standard, Sweden, Thesis, USA

? Larcombe, A.N. and Voss, S.C. (2011), Self-citation: comparison between Radiology, European Radiology and Radiology for 1997-1998. Scientometrics, 87 (2), 347-356.

Full Text: 2011\Scientometrics87, 347.pdf

Abstract: This study investigates the incidence of self-citation (authors citing their own work) for scholarly articles in ten journals published by the American Physiological Society. We analysed authorship and referencing practices of all original research articles published in the first ordinary issue of each journal in both 2000 and 2010, comprising 271 and 212 articles, respectively. Self-citation is common in these journals and represents a total of 17.75% of all citations. Only 9 (1.86%) of the articles analysed did not self-cite. Author position significantly influenced the rate of self-citation with last authors being self-cited significantly more than any other author. This was likely a result of the cumulative nature of scientific research within a specific discipline and the necessary desire to promote ones own work for associated academic benefit. The country in which the work was conducted also influenced the rate of self-citation, with last authors based in North America self-citing more than last authors from Asian countries. A comparison of self-citation rates between decades (2000 and 2010) revealed an increase in the number of authors and number of citations per article between 2000 and 2010, however the mean percentage of self-cited articles did not differ between the years. Finally, there were no differences in the percentage of self-citation between the different journals analysed.

Keywords: American Physiological Society Journals, Asian, Author Position, Authors, Authorship, Bibliometric Analysis, Citations, Comparison, Country, Cumulative, First, Impact, Incidence, Journal, Journals, Macro, North, North America, Practices, Rates, Referencing, Research, Scientific Research, Self-Citation, Work

? Sandor, S. and George, K. (2011), Towards a typology of research performance diversity: The case of top Hungarian players. Scientometrics, 87 (2), 357-371.

Full Text: 2011\Scientometrics87, 357.pdf

Abstract: Measuring the intellectual diversity encoded in publication records as a proxy to the degree of interdisciplinarity has recently received considerable attention in the science mapping community. The present paper draws upon the use of the Stirling index as a diversity measure applied to a network model (customized science map) of research profiles, proposed by several authors. A modified version of the index is used and compared with the previous versions on a sample data set in order to rank top Hungarian research organizations (HROs) according to their research performance diversity. Results, unexpected in several respects, show that the modified index is a candidate for measuring the degree of polarization of a research profile. The study also points towards a possible typology of publication portfolios that instantiate different types of diversity.

Keywords: Authors, Community, Data, Diversity, Diversity Index, Hungary, Index, Interdisciplinarity, Isi Subject Categories, Mapping, Measure, Model, Modified, Network, Performance, Polarization Index, Profiles, Publication, Rank, Records, Research, Research Organizations, Research Performance, Science, Science Mapping, Version

? Small, H. (2011), Interpreting maps of science using citation context sentiments: A preliminary investigation. Scientometrics, 87 (2), 373-388.

Full Text: 2011\Scientometrics87, 373.pdf

Abstract: It is proposed that citation contexts, the text surrounding references in scientific papers, be analyzed in terms of an expanded notion of sentiment, defined to include attitudes and dispositions toward the cited work. Maps of science at both the specialty and global levels are used as the basis of this analysis. Citation context samples are taken at these levels and contrasted for the appearance of cue word sets, analyzed with the aid of methods from corpus linguistics. Sentiments are shown to vary within a specialty and can be understood in terms of cognitive and social factors. Within-specialty and between-specialty co-citations are contrasted and in some cases suggest a correlation of sentiment with structural location. For example, the sentiment of “uncertainty” is important in interdisciplinary co-citation links, while “utility” is more prevalent within the specialty. Suggestions are made for linking sentiments to technical terms, and for developing sentiment “baselines” for all of science.

Keywords: 2 Disciplines, Analysis, Attitudes, Citation, Citation Contexts, Clusters, Co-Citation, Cocitation, Context, Corpus Linguistics, Correlation, Developing, Global, Interdisciplinary, Investigation, Location, Maps Of Science, Methods, Notion, Papers, References, Science, Sentiment Analysis, Social, Specialty, Work

? Delanghe, H., Sloan, B. and Muldur, U. (2011), European research policy and bibliometric indicators, 1990-2005. Scientometrics,