Personal Research Database

Full Text: 2011\Scientometrics89, 479.pdf

Abstract: Agent-based computing is a diverse research domain concerned with the building of intelligent software based on the concept of “agents”. In this paper, we use Scientometric analysis to analyze all sub-domains of agent-based computing. Our data consists of 1,064 journal articles indexed in the ISI web of knowledge published during a 20 year period: 1990-2010. These were retrieved using a topic search with various keywords commonly used in sub-domains of agent-based computing. In our proposed approach, we have employed a combination of two applications for analysis, namely Network Workbench and CiteSpace-wherein Network Workbench allowed for the analysis of complex network aspects of the domain, detailed visualization-based analysis of the bibliographic data was performed using CiteSpace. Our results include the identification of the largest cluster based on keywords, the timeline of publication of index terms, the core journals and key subject categories. We also identify the core authors, top countries of origin of the manuscripts along with core research institutes. Finally, our results have interestingly revealed the strong presence of agent-based computing in a number of non-computing related scientific domains including Life Sciences, Ecological Sciences and Social Sciences.

Keywords: Agent-Based Modeling, Analysis, Author Cocitation, Authors, Bibliographic, Citation, Citespace, Dynamics, Individual-Based Modeling, Innovation, Intellectual Structure, ISI, Journal, Journals, Knowledge, Multiagent Systems, Network, Publication, Research, Science, Sciences, Scientific Literatures, Scientometrics, Scientometrics, Social Sciences, Software, Survey, Triple-Helix, Visualization

? Karpagam, R., Gopalakrishnan, S., Natarajan, M. and Babu, B.R. (2011), Mapping of nanoscience and nanotechnology research in India: A scientometric analysis, 1990-2009. Scientometrics, 89 (2), 501-522.

Full Text: 2011\Scientometrics89, 501.pdf

Abstract: This paper analyses the growth pattern of Nanoscience and Nanotechnology literature in India during 1990-2009 (20 years). The Scopus international multidisciplinary bibliographical database has been used to identify the Indian contributions on the field of nanoscience and nanotechnology. The study measures the performance based on several parameters, country annual growth rate, authorship pattern, collaborative index, collaborative coefficient, modified collaborative coefficient, subject profile, etc. Further the study examines national publication output and impact in terms of average citations per paper, international collaboration output and share, contribution and impact of Indian Institutions and impact of Indian journals.

Keywords: Analysis, Authorship, Authorship Pattern, Bibliographical Database, Citations, Collaboration, Collaborative Coefficient H-Index, Contribution, Exploration, Field, G-Index, G-Index, Growth, Growth Pattern, Impact, India, Interdisciplinarity, International Collaboration, Journals, Literature, Modified, Nanoscience, Nanotechnology, P-Index, Patent Citations, Profile, Publication, Publication Output, Publications, Research, Research Collaboration, Science, Scientific Literature, Scientometric Analysis, Scopus, Technology

? Ibanez, A., Larranaga, P. and Bielza, C. (2011), Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals. Scientometrics, 89 (2), 523-551.

Full Text: 2011\Scientometrics89, 523.pdf

Abstract: As they are used to evaluate the importance of research at different levels by funding agencies and promotion committees, bibliometric indices have received a lot of attention from the scientific community over the last few years. Many bibliometric indices have been developed in order to take into account aspects not previously covered. The result is that, nowadays, the scientific community faces the challenge of selecting which of this pool of indices meets the required quality standards. In view of the vast number of bibliometric indices, it is necessary to analyze how they relate to each other (irrelevant, dependent and so on). Our main purpose is to learn a Bayesian network model from data to analyze the relationships among bibliometric indices. The induced Bayesian network is then used to discover probabilistic conditional (in) dependencies among the indices and, also for probabilistic reasoning. We also run a case study of 14 well-known bibliometric indices on computer science and artificial intelligence journals.

Keywords: Artificial Intelligence, Attention, Bayesian Networks, Bibliometric, Bibliometric Indices, Citation Analysis, Computer, Computer Science and Artificial Intelligence, Conditional Dependencies and Conditional Independencies, Funding, h-Index, Impact, Induced, Journals, Model, Network, Probabilistic Networks, Promotion, R-Index, Research, Science, Standards

? Yu, Q., Shao, H.F. and Duan, Z.G. (2011), Research groups of oncology co-authorship network in China. Scientometrics, 89 (2), 553-567.

Full Text: 2011\Scientometrics89, 553.pdf

Abstract: This paper aims at analyzing and extracting the research groups from the co-authorship network of oncology in China. By use of centrality, component analysis, K-Core, M-Slice, Hierarchical Clustering analysis, and Multidimensional Scaling analysis, we studied the data from 10 Core Chinese Oncology journals between 2000 and 2009, analyzed the structure character of the Chinese Oncology research institutes. This study advances the methods for selecting the most prolific research groups and individuals in Chinese Oncology research community, and provides basis for more productive cooperation in the future. This study also provides scientific evidences and suggestions for policymakers to establish a more efficient system for managing and financing Chinese Oncology research in the future.

Keywords: Analysis, Centrality, China, Clustering, Clustering Analysis, Co-Authorship, Coauthorship, Cooperation, Field, Journals, Library, Network, Oncology, Research, Research Collaboration, Research Group, Research Groups, Science

? Groh, G. and Fuchs, C. (2011), Multi-modal social networks for modeling scientific fields. Scientometrics, 89 (2), 569-590.

Full Text: 2011\Scientometrics89, 569.pdf

Abstract: This paper analyzes whether methods from social network analysis can be adopted for the modeling of scientific fields in order to obtain a better understanding of the respective scientific area. The approach proposed is based on articles published within the respective scientific field and certain types of nodes deduced from these papers, such as authors, journals, conferences and organizations. As a proof of concept, the techniques discussed here are applied to the field of ‘Mobile Social Networking’. For this purpose, a tool was developed to create a large data collection representing the aforementioned field. The paper analyzes various views on the complete network and discusses these on the basis of the data collected on Mobile Social Networking. The authors demonstrate that the analysis of particular subgraphs derived from the data collection allows the identification of important authors as well as separate sub-disciplines such as classic network analysis and sensor networks and also contributes to the classification of the field of ‘Mobile Social Networking’ within the greater context of computer science, applied mathematics and social sciences. Based on these results, the authors propose a set of concrete services which could be offered by such a network and which could help the user to deal with the scientific information process. The paper concludes with an outlook upon further possible research topics.

Keywords: Algorithm, Analysis, Author Co-Citation Networks, Author Cocitation Analysis, Authors, Co-Authorship Networks, Computer, Conference-Person Networks, Data Collection, Domain-Analysis, Index, Information, Information-Science, Intellectual Structure, Journal-Person Networks, Journals, Mapping Authors, Mobile Social Networking, Modeling, Modeling of A Scientific Domain, Network, Papers, Pearsons R, Person-Organization Networks, Research, Research Topics, Saltons Cosine, Science, Sciences, Scientific Information, Social, Social Network, Social Network Analysis, Social Networks, Social Sciences, Subgraph Isomorphism, Topics

? Tsay, M.Y. (2011), A bibliometric analysis and comparison on three information science journals: JASIST, IPM, JOD, 1998-2008. Scientometrics, 89 (2), 591-606.

Full Text: 2011\Scientometrics89, 591.pdf

Abstract: Employing a citation analysis, this study explored and compared the bibliometric characteristics and the subject relationship with other disciplines of and among the three leading information science journals, Journal of the American Society for Information Science and Technology (JASIST), Information Processing and Management and Journal of Documentation. The citation data were drawn from references of each article of the three journals during 1998 and 2008. The Ulrich’s Periodical Directory, Library of Congress Subject Heading, retrieved from the WorldCat, and LISA database were used to identify the main class, subclass and subject of cited journals and books. Quantitative results on the number of JASIST, IPM and JOD literature references, average number of references cited per paper, document type of cited literature and the journal self-citation rate are reported. Moreover, the highly cited journals and books, the main classes and subclasses of cited journals and books in papers of the three journals, the highly cited subjects in journals and books of library and information science were identified and analyzed. Comparison on the characteristics of cited journals and books confirmed that all the three journals under study are information science oriented, except JOD which is library science orientation. JASIST and IPM are very much in common and diffuse to other disciplines more deeply than JOD.

Keywords: Analysis, Bibliometric, Bibliometric Analysis, Bibliometric Study, Citation, Citation Analysis, Cited Books, Cited Journals, Highly-Cited, Information, Information Processing And Management (IPM), Information Science, Journal, Journal of Documentation, Journal of Documentation (JOD), Journal of The American Society for Information Science and Technology (JASIST), Journals, Library, Library Science, Literature, Management, Papers, References, Science, Self-Citation, Subject Analysis

? Vieira, E.S. and Gomes, J.A.N.F. (2011), An impact indicator for researchers. Scientometrics, 89 (2), 607-629.

Full Text: 2011\Scientometrics89, 607.pdf

Abstract: The assessment of individual researchers using bibliometric indicators is more complex than that of a region, country or university. For large scientific bodies, averages over a large number of researchers and their outputs is generally believed to give indication of the quality of the research work. For an individual, the detailed peer evaluation of his research outputs is required and, even this, may fail in the short term to make a final, long term assessment of the relevance and originality of the work. Scientometrics assessment at individual level is not an easy task not only due to the smaller number of publications that are being evaluated, but other factors can influence significantly the bibliometric indicators applied. Citation practices vary widely among disciplines and sub disciplines and this may justify the lack of good bibliometric indicators at individual level. The main goal of this study was to develop an indicator that considers in its calculation some of the aspects that we must take into account on the assessment of scientific performance at individual level. The indicator developed, the h(nf) index, considers the different cultures of citation of each field and the number of authors per publication. The results showed that the h(nf) index can be used on the assessment of scientific performance of individual researchers and for following the performance of a researcher.

Keywords: Assessment, Authors, Authorship, Bibliometric, Bibliometric Indicators, Citation, Citer Motivations, Evaluation, h Index, h-Index, Impact, Impact Indicator, Individuals, Normalization, Originality, Peer Evaluation, Publication, Publications, Research, Research Work, Researchers, Scientific Performance, Scientometrics, Scientometrics Assessment, Self-Citation, University

? Vieira, E.S. and Gomes, J.A.N.F. (2011), The journal relative impact: An indicator for journal assessment. Scientometrics, 89 (2), 631-651.

Full Text: 2011\Scientometrics89, 631.pdf

Abstract: This paper presents the journal relative impact (JRI), an indicator for scientific evaluation of journals. The JRI considers in its calculation the different culture of citations presented by the Web of Science subject categories. The JRI is calculated considering a variable citation window. This citation window is defined taking into account the time required by each subject category for the maturation of citations. The type of document considered in each subject category depends on its outputs in relation to the citations. The scientific performance of each journal in relation to each subject category that it belongs to is considered allowing the comparison of the scientific performance of journals from different fields. The results obtained show that the JRI can be used for the assessment of the scientific performance of a given journal and that the SJR and SNIP should be used to complement the information provided by the JRI. The JRI presents good features as stability over time and predictability.

Keywords: Assessment, Citation, Citations, Culture, Evaluation, Impact, Index, Information, Journal, Journal Impact, Journals, Normalization, Research Performance, Science, Scientific Literature, Scientific Performance, Scopus, SJR, Stability, Subject Category, System, Variable Window, Web of Science, Web-of-Science

? Canibano, C., Otamendi, F.J. and Solis, F. (2011), International temporary mobility of researchers: A cross-discipline study. Scientometrics, 89 (2), 653-675.

Full Text: 2011\Scientometrics89, 653.pdf

Abstract: The increasing literature addressing international mobility of researchers has repeatedly pointed out the lack of empirical data compiled over the last two decades, jeopardizing progress in the understanding of the characteristics and impacts of such human flows. This paper makes a contribution to the field by exploring the extent to which information obtained from researchers’ electronic curriculum vitae (CV) may be used to study temporary geographical mobility. We exploit a new type of data set-a comprehensive database of electronic CVs-developing a broad set of cross-discipline mobility indicators to assess the dimensions and characteristics of international research visits among a population of over 10,000 researchers. The sample population is made up of PhD holders working in the regional research system of Andalusia, Spain. Information regarding their international research visits over the last four decades is downloaded from CVs contained in the electronic scientific information system of the region. We assess mobility rates and the characteristics of the temporary mobile population. The analysis of visiting patterns shows significant differences in mobility profiles in terms of frequency, duration and destination of visits, across disciplines, career stages and time periods. The study also shows how different definitions of international mobility lead to substantial variations in cross-discipline mobility rates.

Keywords: Analysis, Brain Circulation, Careers, Contribution, Curriculum Vitae, Curriculum Vitae Analysis, Cv Analysis, Definitions, Differences, Frequency, Human, Information, Knowledge, Lead, Literature, Mobility Indicators, Mobility of Researchers, Performance, Policy, Productivity, Research, Researchers, Scientific Information, Scientists, Spain

? Helene, A.F. and Ribeiro, P.L. (2011), Brazilian scientific production, financial support, established investigators and doctoral graduates. Scientometrics, 89 (2), 677-686.

Full Text: 2011\Scientometrics89, 677.pdf

Abstract: In the near future, Brazil is expected to face a number of challenges with regards to economic and social development, and scientific production is a critical aspect of this development process. Over the past 30 years, there has been an almost 18-fold increase in the number of brazilian papers published, up from about 2,000 in 1980 to more than 35,000 in 2009. In this study we analyze the evolution of scientific production in terms of input (resources and permanent investigators) and output (scientific papers and doctorate graduates). We evaluate whether structural investments and the number of investigators at universities are both able to explain the increase in the number of papers, by investigating the relationships among growth rates in investments and the quantity of the papers published, as well as the number of doctorate graduates and active permanent investigators. As an indication of the fluctuations in investments pertaining to academic research, we consider the budget history of the largest Brazilian federal agencies charged with providing academic grants. We observe that the burgeoning number of papers has occurred independently of investments and the number of established investigators, thus suggesting an increase in the efficiency of Brazilian scientific output. Moreover, this increase in efficiency has occurred in conjunction with an increased number of Doctoral graduates per year. In this context, we propose that an evaluation of the academic structure is necessary in order to ascertain the risks of this increased “efficiency”. Moreover, the recent cut of over US$ 1 billion announced by the Brazilian government may jeopardize the quality of scientific output in the future.

Keywords: Brazil, Development, English, Evaluation, Evolution, Face, Federal Grant Entities, Financial Support, Growth, History, Impact, Inputs and Outputs, Investigators, Papers, PhD Programs, Research, Science, Scientific Output, Scientific Production, Social, Universities

? Abbasi, A., Hossain, L., Uddin, S. and Rasmussen, K.J.R. (2011), Evolutionary dynamics of scientific collaboration networks: Multi-levels and cross-time analysis. Scientometrics, 89 (2), 687-710.

Full Text: 2011\Scientometrics89, 687.pdf

Abstract: Several studies exist which use scientific literature for comparing scientific activities (e. g., productivity, and collaboration). In this study, using co-authorship data over the last 40 years, we present the evolutionary dynamics of multi level (i.e., individual, institutional and national) collaboration networks for exploring the emergence of collaborations in the research field of “steel structures”. The collaboration network of scientists in the field has been analyzed using author affiliations extracted from Scopus between 1970 and 2009. We have studied collaboration distribution networks at the micro-, meso-and macro-levels for the 40 years. We compared and analyzed a number of properties of these networks (i.e., density, centrality measures, the giant component and clustering coefficient) for presenting a longitudinal analysis and statistical validation of the evolutionary dynamics of “steel structures” collaboration networks. At all levels, the scientific collaborations network structures were central considering the closeness centralization while betweenness and degree centralization were much lower. In general networks density, connectedness, centralization and clustering coefficient were highest in marco-level and decreasing as the network size grow to the lowest in micro-level. We also find that the average distance between countries about two and institutes five and for authors eight meaning that only about eight steps are necessary to get from one randomly chosen author to another.

Keywords: Activities, Analysis, Author, Authors, Centrality, Co-Authorship, Co-Authorship Analysis, Coauthorship, Collaboration, Collaborations, Dynamic Network Analysis, Evolutionary Collaboration Networks, Index, Literature, Multi-Levels and Cross-Time Analysis, Network, Patterns, Productivity, Research, Science, Scientific Activities, Scientific Collaboration, Scopus, Self-Organization, Social Network Analysis, Statistical, Validation

? Teodorescu, D. and Andrei, T. (2011), The growth of international collaboration in East European scholarly communities: A bibliometric analysis of journal articles published between 1989 and 2009. Scientometrics, 89 (2), 711-722.

Full Text: 2011\Scientometrics89, 711.pdf

Abstract: In the last two decades international collaboration in the Eastern European academic communities has strongly intensified. Scientists from developed countries within the European Union play a key role in stimulating the international collaboration of academics in this region. In addition, many of the research projects that engage East-European scholars are only possible in the framework of the large European programmes. The present study focuses on the role of EU and other developed nations as a partner of these countries and the analysis of the performance of collaborative research as reflected by the citation impact of internationally co-authored publications.

Keywords: Academics, Analysis, Bibliometric, Bibliometric Analysis, Citation, Citation Impact, Citations, Co-Authorship, Collaboration, Eastern Europe, EU, Growth, Impact, International Collaboration, Journal, Publications, Research, Scientists

? Soos, S. (2011), The functional anatomy of science mapping Katy Borner: Atlas of science: visualizing what we know. The MIT Press, Cambridge, MA/London, UK, 2010, US$20. Scientometrics, 89 (2), 723-726

Full Text: 2011\Scientometrics89, 723.pdf

Keywords: Anatomy, Functional, Mapping, Science, UK

? Egghe, L. (2011), the single publication h-index of papers in the Hirsch-core of a researcher and the indirect h-index. Scientometrics, 89 (3), 727-739.

Full Text: 2011\Scientometrics89, 727.pdf

Abstract: the single publication H-index of Schubert is applied to the papers in the Hirsch-core of a researcher, journal or topic. Four practical examples are given and regularities are explained: the regression line of the single publication h-index of the ranked papers in the Hirsch-core is decreasing. We propose two measures of indirect citation impact: the average of the single publication h-indices of the papers in the Hirsch-core and the h-index of these single publication H-indices, defined as the indirect h-index. Formulae for these indirect citation impact measures are given in the Lotkaian context.

Keywords: Citation, Citation Impact, h Index, h-Index, Hirsch Core, Impact, Indirect h-Index, Indirect Impact Measure, Journal, Papers, Publication, Single Publication h-Index

? Gomez-Nunez, A.J., Vargas-Quesada, B., de Moya-Anegon, F. and Glanzel, W. (2011), Improving SCImago Journal & Country Rank (SJR) subject classification through reference analysis. Scientometrics, 89 (3), 741-758.

Full Text: 2011\Scientometrics89, 741.pdf

Abstract: In order to re-categorize the SCImago Journal & Country Rank (SJR) journals based on Scopus, as well as improve the SJR subject classification scheme, an iterative process built upon reference analysis of citing journals was designed. the first step entailed construction of a matrix containing citing journals and cited categories obtained through the aggregation of cited journals. Assuming that the most representative categories in each journal would be represented by the highest citation values regarding categories, the matrix vectors were reduced using a threshold to discern and discard the weakest relations. the process was refined on the basis of different parameters of a heuristic nature, including (1) the development of several tests applying different thresholds, (2) the designation of a cutoff, (3) the number of iterations to execute, and (4) a manual review operation of a certain amount of multi-categorized journals. Despite certain shortcomings related with journal classification, the method showed a solid performance in grouping journals at a level higher than categories-that is, aggregating journals into subject areas. It also enabled us to redesign the SJR classification scheme, providing for a more cohesive one that covers a good proportion of re-categorized journals.

Keywords: Analysis, Citation, Development, Journal, Journal Classification, Journals, Multidisciplinary Databases, Reference Analysis, Review, Science, Scimago, Scimago Journal & Country Rank, Scopus, SJR, Subject Categorization

? Khan, G.F., Moon, J. and Park, H.W. (2011), Network of the core: Mapping and visualizing the core of scientific domains. Scientometrics,