Personal Research Database

Full Text: 2010\Scientometrics82, 165.pdf

Abstract: This paper proposes a novel methodological framework for effectively measuring the production frontier performance (PFP) of macro-scale (regional or national) R&D activities themselves associated with two improved models: a non-radial data envelopment analysis (DEA) model and a nonradial Malmquist index. In particular, the framework can provide multidimensional information to benchmark various R&D efficiency indexes (i.e., technical efficiency, pure technical efficiency and scale efficiency) as well as the total factor R&D productivity change (determined by three components: “catch-up” of R&D efficiency, “frontier shift” of R&D technology as well as “exploitation” of R&D scale economics effect) at a comparable production frontier. It can be used to not only investigate the potential and sustainable capacity of innovation but also screen and finance R&D projects at the regional or national level. We have applied the framework to a province-level panel dataset on R&D activities of 30 selected Chinese provinces.

Keywords: Capacity, Cross-Country, Data Envelopment Analysis, Development Efficiency, Growth, Industrialized Countries, Non-Radial Data Development Analysis, Non-Radial Malmquist Index, Patents, Production Frontier Performance, R&D, R&D Activities, Technical Progress, Technology

? Cheng, Y.H., Kuan, F.Y., Chuang, S.C. and Ken, Y. (2010), Profitability decided by patent quality? An empirical study of the US semiconductor industry. Scientometrics, 82 (1), 175-183.

Full Text: 2010\Scientometrics82, 175.pdf

Abstract: The investment in research and development (R&D) for semiconductor industry is never small as the technology cycle time (TCT) is relatively short comparing to other industries, thus a semiconductor company requires lots of technological innovations and capital offerings to maintain. The semiconductor industry contributes primarily part of the micro-electronic industries. Advancing technology and patent application are the centre of attention within the semiconductor sector. This research examines the relationship between patent quality and the profits a patent creates for a company in this selected field. This study distinguishes itself from prior research by including cross-sectional data, time series data to simultaneously collect and analyze. The study result shows that some indicators of patent quality are statistically significant to return on assets.

Keywords: Patent, Patent Citation, Patent Quality, Profitability, R&D, Research, Research and Development, Technology

? Frietsch, R. and Schmoch, U. (2010), Transnational patents and international markets. Scientometrics, 82 (1), 185-200.

Full Text: 2010\Scientometrics82, 185.pdf

Abstract: Patent statistics are a frequently used innovation indicator for the description and analysis of technological strengths and weaknesses, both on the macro and the micro level. Patent data has a broad coverage, high reliability, allows a very differentiated perspective and the data has become easier in availability and accessibility. Especially when cross country comparisons and comparative assessments are intended, a deep knowledge and understanding of patent systems is required. In the 1990s Triadic patents, which were able to balance the home advantage of domestic applicants/inventors. An increasing internationalisation and globalisation makes it also necessary to adapt the patent analyses to this new world order. In this paper the so called Transnational patents are suggested, which allows to grasp the new relations and relative positions between the industrialised, industrialising and emerging countries. The existing concepts are presented and discussed and contrasted against the concept of Transnational Patents.

Keywords: Coverage, Globalisation, Indicators, Innovative Activities, Patent, Patent Statistics, Patents, Statistics, Transnational Patents, Triadic Patents

? Chen, Y.S. and Chang, K.C. (2010), The nonlinear nature of the relationships between the patent traits and corporate performance. Scientometrics, 82 (1), 201-210.

Full Text: 2010\Scientometrics82, 201.pdf

Abstract: This study utilizes neural network to explore the nonlinear relationships between corporate performance and the patent traits measured from Herfindahl-Hirschman Index of patents (HHI of patents), patent citations, and relative patent position in the most important technological field (RPPMIT) in the US pharmaceutical industry. The results show that HHI of patents and RPPMIT have nonlinearly and monotonically positive influences upon corporate performance, while the influence of patent citations is nonlinearly U-shaped. Therefore, pharmaceutical companies should raise the degrees of the leading position in their most important technological fields and the centralization of their technological capabilities to enhance corporate performance.

Keywords: Citations, Corporate Performance, HHI of Patents, Patent, Patent Analysis, Patent Citations, Patents, Portfolios, Positive, Relative Patent Position (RPP), Research-and-Development, Science, Technology

? Lazaridis, T. (2010), Ranking university departments using the mean h-index. Scientometrics, 82 (2), 211-216.

Full Text: 2010\Scientometrics82, 211.pdf

Abstract: Ranking of universities has lately received considerable attention. However, ranking of departments would give a higher resolution picture of the distribution of quality within each university. In this work the Hirsch (h) index of each faculty in Greek Chemistry, Chemical Engineering, Materials Science, and Physics departments was calculated using the Web of Science and the mean value was used to rank them. This ranking refers to the research performance of each department and thus is most relevant to its doctoral program. The results seem highly meaningful. If performed on a pan-European basis, such rankings could spur healthy competition and could provide a strong motive for meritocratic hiring practices. Technical difficulties and possible extension of this approach to social science and humanities departments are discussed.

Keywords: Author, Bibliometric Indicators, Chemical Engineering, Chemistry, Competition, Greece, h Index, h-Index, Hirsch-Index, Humanities, Journals, Materials Science, Physics, Ranking, Rankings, Research, Research Output, Research Performance, Science, Scientific-Research, Universities, Web Of Science

? Bass, S.D. and Kurgan, L.A. (2010), Discovery of factors influencing patent value based on machine learning in patents in the field of nanotechnology. Scientometrics, 82 (2), 217-241.

Full Text: 2010\Scientometrics82, 217.pdf

Abstract: Patents represent the technological or inventive activity and output across different fields, regions, and time. The analysis of information from patents could be used to help focus efforts in research and the economy, however, the roles of the factors that can be extracted from patent records are still not entirely understood. To better understand the impact of these factors on patent value, machine learning techniques such as feature selection and classification are used to analyze patents in a sample industry, nanotechnology. Each nanotechnology patent was represented by a comprehensive set of numerical features that describe inventors, assignees, patent classification, and outgoing references. After careful design that included selection of the most relevant features, selection and optimization of the accuracy of classification models that aimed at finding most valuable (top-performing) patents, we used the generated models to analyze which factors allow to differentiate between the top-performing and the remaining nanotechnology patents. A few interesting findings surface as important such as the past performance of inventors and assignees, and the count of referenced patents.

Keywords: Citations, Classification, Evolution, Feature Selection, Impact, Indicators, Innovation, Machine Learning, Market Value, Measuring Progress, Models, Multiple Uses, Nanotechnology, Patent, Patent Value, Patents, Performance, Research, Science, Technology Field

? Egghe, L. (2010), A model showing the increase in time of the average and median reference age and the decrease in time of the Price Index. Scientometrics, 82 (2), 243-248.

Full Text: 2010\Scientometrics82, 243.pdf

Abstract: This paper proves two regularities that where found in the paper (LariviSre et al. (2007). Long-term patterns in the aging of the scientific literature, 1900-2004. In Proceedings of ISSI 2007. CSIC, Madrid, Spain, pp. 449-456.). The first is that the mean as well as the median reference age increases in time. The second is that the Price Index decreases in time. Using an exponential literature growth model we prove both regularities. Hence we show that the two results do not have a special informetric reason but that they are just a mathematical consequence of a widely accepted simple literature growth model.

Keywords: Aging, Exponential Growth, Growth, Literature, Mean Reference Time, Median Reference Time, Price Index, Scientific Literature, Spain

? Yu, G. and Li, Y.J. (2010), Identification of referencing and citation processes of scientific journals based on the citation distribution model. Scientometrics, 82 (2), 249-261.

Full Text: 2010\Scientometrics82, 249.pdf

Abstract: In this article, we firstly analyze the referencing process and the citation process of a scientific journal in theory, and find that the observed referencing or citation process includes the diffusing process and the aging process of cited literature and the publishing process of citing literature, thereby it is illuminated why the identified average publication delay ((T) over bar = T-s + tau) was longer than the observed value. Secondly, we compare the transfer function model of the observed citing process with other classical citation distribution models and find that the model is superior to others. Finally, using the model, we identify parameters of actual referencing and citation processes from data of age distributions of references and citations of 38 journals of neurology and applied mathematics in JCR, respectively, and then compare differences of identified parameters and obtain some interesting conclusions.

Keywords: Aging, Citation, Citation Distribution Model, Citations, Identification, Impact, Journals, Literature, Mathematics, Models, Publication, Publication Delay, Publication Delays, Publishing, Referencing, Referencing and Citation Processes, Scientific Journal, Scientific Journals, Theory

? Rafols, I. and Meyer, M. (2010), Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience. Scientometrics, 82 (2), 263-287.

Full Text: 2010\Scientometrics82, 263.pdf

Abstract: The multidimensional character and inherent conflict with categorisation of interdisciplinarity makes its mapping and evaluation a challenging task. We propose a conceptual framework that aims to capture interdisciplinarity in the wider sense of knowledge integration, by exploring the concepts of diversity and coherence. Disciplinary diversity indicators are developed to describe the heterogeneity of a bibliometric set viewed from predefined categories, i.e. using a top-down approach that locates the set on the global map of science. Network coherence indicators are constructed to measure the intensity of similarity relations within a bibliometric set, i.e. using a bottom-up approach, which reveals the structural consistency of the publications network. We carry out case studies on individual articles in bionanoscience to illustrate how these two perspectives identify different aspects of interdisciplinarity: disciplinary diversity indicates the large-scale breadth of the knowledge base of a publication, network coherence reflects the novelty of its knowledge integration. We suggest that the combination of these two approaches may be useful for comparative studies of emergent scientific and technological fields, where new and controversial categorisations are accompanied by equally contested claims of novelty and interdisciplinarity.

Keywords: Articles, Bibliometric, Bionanotechnology, Case Studies, Categories, Citation, Cocitation, Collaboration, Cross-Disciplinary, Diversity, Evaluation, Heterogeneity, Indicators, Integration, Interdisciplinary Research, Mapping, Nanoscience, Nanotechnology, Nanotechnology, Network Analysis, Publication, Publications, Research Areas, Science, Strategies

? Magerman, T., Van Looy, B. and Song, X.Y. (2010), Exploring the feasibility and accuracy of Latent Semantic Analysis based text mining techniques to detect similarity between patent documents and scientific publications. Scientometrics, 82 (2), 289-306.

Full Text: 2010\Scientometrics82, 289.pdf

Abstract: In this study, we examine and validate the use of existing text mining techniques (based on the vector space model and latent semantic indexing) to detect similarities between patent documents and scientific publications. Clearly, experts involved in domain studies would benefit from techniques that allow similarity to be detected-and hence facilitate mapping, categorization and classification efforts. In addition, given current debates on the relevance and appropriateness of academic patenting, the ability to assess content-relatedness between sets of documents-in this case, patents and publications-might become relevant and useful. We list several options available to arrive at content based similarity measures. Different options of a vector space model and latent semantic indexing approach have been selected and applied to the publications and patents of a sample of academic inventors (n = 6). We also validated the outcomes by using independently obtained validation scores of human raters. While we conclude that text mining techniques can be valuable for detecting similarities between patents and publications, our findings also indicate that the various options available to arrive at similarity measures vary considerably in terms of accuracy: some generally accepted text mining options, like dimensionality reduction and LSA, do not yield the best results when working with smaller document sets. Implications and directions for further research are discussed.

Keywords: Author-Inventor Relationships, Classification, Combining Full-Text, Information-Retrieval, Knowledge, Latent Semantic Analysis, Mapping, Patent, Patent-Publication Pairs, Patents, Performance, Publications, Rank, Research, Researchers, Science, Science-Technology Linkages, Scientific Publications, Space, Technology, Text Mining

? Perianes-Rodriguez, A., Olmeda-Gomez, C. and Moya-Anegon, F. (2010), Detecting, identifying and visualizing research groups in co-authorship networks. Scientometrics, 82 (2), 307-319.

Full Text: 2010\Scientometrics82, 307.pdf

Abstract: The present paper proposes a method for detecting, identifying and visualizing research groups. The data used refer to nine Carlos III University of Madrid departments, while the findings for the Communication Technologies Department illustrate the method. Structural analysis was used to generate co-authorship networks. Research groups were identified on the basis of factorial analysis of the raw data matrix and similarities in the choice of co-authors. The resulting networks distinguished the researchers participating in the intra-departmental network from those not involved and identified the existing research groups. Fields of research were characterized by the Journal of Citation Report subject category assigned to the bibliographic references cited in the papers written by the author-factors. The results, i.e., the graphic displays of the structures of the socio-centric and co-authorship networks and the strategies underlying collaboration among researchers, were later discussed with the members of the departments analyzed. The paper constitutes a starting point for understanding and characterizing networking within research institutions.

Keywords: Citation, Co-Authorship, Coauthorship, Cocitation, Collaboration, Community Structure, Graphs, Groups, Information Visualization, Intellectual Space, Network Analysis, Productivity, Research, Research Collaboration, Research Groups, Research Institutions, Researchers, Scientific Collaboration, Size, Structural

? Mikki, S. (2010), Comparing Google Scholar and ISI Web of Science for Earth Sciences. Scientometrics, 82 (2), 321-331.

Full Text: 2010\Scientometrics82, 321.pdf

Abstract: In order to measure the degree to which Google Scholar can compete with bibliographical databases, search results from this database is compared with Thomson’s ISI WoS (Institute for Scientific Information, Web of Science). For earth science literature 85% of documents indexed by ISI WoS were recalled by Google Scholar. The rank of records displayed in Google Scholar and ISI WoS, is compared by means of Spearman’s footrule. For impact measures the h-index is investigated. Similarities in measures were significant for the two sources.

Keywords: Citation Analysis, Citation Counts, Coverage, Database, Databases, Google Scholar, h Index, h-Index, Impact, Impact Measures, ISI, ISI Web, ISI Web of Science, Literature, Rankings, Science, Scopus, Similarity Measures, Web of Science

? Etxebarria, G. and Gomez-Uranga, M. (2010), Use of Scopus and Google Scholar to measure social sciences production in four major Spanish universities. Scientometrics, 82 (2), 333-349.

Full Text: 2010\Scientometrics82, 333.pdf

Abstract: A large part of Social Sciences and the Humanities do not adapt to international proceedings used in English for scientific output on databases such as the Web of Science and Scopus. The aim of this paper is to show the different results obtained in scientific work by comparing Social Sciences researchers with those of other sciences in four Spanish universities. The first finding is that some Social Sciences researchers are somewhat internationalised. However, the majority of individuals who are prestigious in their local academic-scientific community do not even appear on the information sources mentioned above.

Keywords: Citation, Databases, Google Scholar, Rankings, Researchers, Science, Scientific Output, Scopus, Social Sciences, Social Sciences Production, Spanish Universities, Universities, Visibility on International Databases, Web, Web of Science

? Ben-David, D. (2010), Ranking Israel’s economists. Scientometrics, 82 (2), 351-364.

Full Text: 2010\Scientometrics82, 351.pdf

Abstract: One of the more important measures of a scholar’s research impact is the number of times that the scholar’s work is cited by other researchers as a source of knowledge. This paper conducts a first of its kind examination on Israel’s academic economists and economics departments, ranking them according to the number of citations on their work. It also provides a vista into one of the primary reasons given by junior Israeli economists for an unparalleled brain drain from the country-discrepancies between research impact and promotion. The type of examination carried out in this paper can now be easily replicated in other fields and in other countries utilizing freely available citations data and compilation software that have been made readily accessible in recent years.

Keywords: Academic Economists, Author, Citations, Impact, Israel, Journals, Primary, Ranking, Rankings, Research, Researchers, Software

? Baccini, A. and Barabesi, L. (2010), Interlocking editorship. A network analysis of the links between economic journals. Scientometrics, 82 (2), 365-389.

Full Text: 2010\Scientometrics82, 365.pdf

Abstract: The exploratory analysis developed in this paper relies on the hypothesis that each editor possesses some power in the definition of the editorial policy of her journal. Consequently if the same scholar sits on the board of editors of two journals, those journals could have some common elements in their editorial policies. The proximity of the editorial policies of two scientific journals can be assessed by the number of common editors sitting on their boards. A database of all editors of ECONLIT journals is used. The structure of the network generated by interlocking editorship is explored by applying the instruments of network analysis. Evidence has been found of a compact network containing different components. This is interpreted as the result of a plurality of perspectives about the appropriate methods for the investigation of problems and the construction of theories within the domain of economics.

Keywords: Database, Economic Journals, Editorial Boards, Editorial Policies, Editorial-Boards, Favoritism, Gatekeepers, Interlocking Editorship, Journal Gatekeepers, Journals, Network Analysis, Networks, Rankings, Referees, Representation, Science, Scientific Collaboration, Scientific Journals, World

? Alonso, S., Cabrerizo, F.J., Herrera-Viedma, E. and Herrera, F. (2010), hg-index: A new index to characterize the scientific output of researchers based on the h- and g-indices. Scientometrics, 82 (2), 391-400.

Full Text: 2010\Scientometrics82, 391.pdf

Abstract: To be able to measure the scientific output of researchers is an increasingly important task to support research assessment decisions. To do so, we can find several different measures and indices in the literature. Recently, the h-index, introduced by Hirsch in 2005, has got a lot of attention from the scientific community for its good properties to measure the scientific production of researchers. Additionally, several different indicators, for example, the g-index, have been developed to try to improve the possible drawbacks of the h-index. In this paper we present a new index, called hg-index, to characterize the scientific output of researchers which is based on both h-index and g-index to try to keep the advantages of both measures as well as to minimize their disadvantages.

Keywords: Assessment, Bibliometric Indicators, G-Index, h Index, h-Index, Hg-Index, Hirsch-Index, Indicators, Literature, Ranking, Research, Research Evaluation, Researchers, Science, Scientific Output, Scientific Production

? Gingras, Y. and Wallace, M.L. (2010), Why it has become more difficult to predict Nobel Prize winners: A bibliometric analysis of nominees and winners of the chemistry and physics prizes (1901-2007). Scientometrics, 82 (2), 401-412.

Full Text: 2010\Scientometrics82, 401.pdf

Abstract: We propose a comprehensive bibliometric study of the profile of Nobel Prize winners in chemistry and physics from 1901 to 2007, based on citation data available over the same period. The data allows us to observe the evolution of the profiles of winners in the years leading up to-and following-nominations and awarding of the Nobel Prize. The degree centrality and citation rankings in these fields confirm that the Prize is awarded at the peak of the winners’ citation history, despite a brief Halo Effect observable in the years following the attribution of the Prize. Changes in the size and organization of the two fields result in a rapid decline of predictive power of bibliometric data over the century. This can be explained not only by the growing size and fragmentation of the two disciplines, but also, at least in the case of physics, by an implicit hierarchy in the most legitimate topics within the discipline, as well as among the scientists selected for the Nobel Prize. Furthermore, the lack of readily-identifiable dominant contemporary physicists suggests that there are few new paradigm shifts within the field, as perceived by the scientific community as a whole.

Keywords: Bibliometric, Bibliometric Analysis, Bibliometric Study, Centrality, Citation, History, Nobel Prize, Paradigm, Rankings, Scientific Disciplines, Topics

? Quesada, A. (2010), More axiomatics for the Hirsch index. Scientometrics,