Personal Research Database



Download 6.47 Mb.
Page165/275
Date02.05.2018
Size6.47 Mb.
#47265
1   ...   161   162   163   164   165   166   167   168   ...   275
88 (3), 979-1001.

Full Text: 2011\Scientometrics88, 979.pdf

Abstract: This paper by using data envelopment analysis (DEA) and statistical inference evaluates the citation performance of 229 economic journals. The paper categorizes the journals into four main categories (A-D) based on their efficiency levels. The results are then compared to the 27 “core economic journals” as introduced by Diamond (Curr Contents 21(1):4-11, 1989). The results reveal that after more than 20 years Diamonds’ list of “core economic journals” is still valid. Finally, for the first time the paper uses data from four well-known databases (SSCI, Scopus, RePEc, Econlit) and two quality ranking reports (Kiel Institute internals ranking and ABS quality ranking report) in a DEA setting and in order to derive the ranking of 229 economic journals. The ten economic journals with the highest citation performance are Journal of Political Economy, Econometrica, Quarterly Journal of Economics, Journal of Financial Economics, Journal of Economic Literature, American Economic Review, Review of Economic Studies, Journal of Econometrics, Journal of Finance, Brookings Papers on Economic Activity.

Keywords: Analysis, Bootstrap, Citation, Coverage, Data Envelopment Analysis, Databases, Economic Journals, Economics, Google Scholar, Indexes, Indexing Techniques, Indicators, Journal, Journals, Literature, Nonparametric Frontier Models, Ranking, Ranking Journals, Relative Impacts, Review, Scopus, SSCI, Statistical, Web-of-Science

? Egghe, L. (2011), The single publication h-index and the indirect h-index of a researcher. Scientometrics, 88 (3), 1003-1004.

Full Text: 2011\Scientometrics88, 1003.pdf

Abstract: The single publication h-index, introduced by A. Schubert in 2009 can be applied on all articles in the Hirsch-core of a researcher. In this way one can define the “indirect h-index” of a researcher.

Keywords: h Index, h-Index, Indirect h-Index, Publication, Single Publication h-Index

? Prathap, G. (2011), Letter to the Editor: Comments on the paper of Franceschini and Maisano: Proposals for evaluating the regularity of a scientist’s research output. Scientometrics, 88 (3), 1005-1010.

Full Text: 2011\Scientometrics88, 1005.pdf

Keywords: Index, Research, Research Output

? Opthof, T. and Leydesdorff, L. (2011), A comment to the paper by Waltman et al., Scientometrics, 87, 467-481, 2011. Scientometrics, 88 (3), 1011-1016.

Full Text: 2011\Scientometrics88, 1011.pdf

Abstract: In reaction to a previous critique (Opthof and Leydesdorff, J Informetr 4(3):423-430, 2010), the Center for Science and Technology Studies (CWTS) in Leiden proposed to change their old “crown” indicator in citation analysis into a new one. Waltman (Scientometrics 87:467-481, 2011a) argue that this change does not affect rankings at various aggregated levels. However, CWTS data is not publicly available for testing and criticism. Therefore, we comment by using previously published data of Van Raan (Scientometrics 67(3):491-502, 2006) to address the pivotal issue of how the results of citation analysis correlate with the results of peer review. A quality parameter based on peer review was neither significantly correlated with the two parameters developed by the CWTS in the past citations per paper/mean journal citation score (CPP/JCSm) or CPP/FCSm (citations per paper/mean field citation score) nor with the more recently proposed h-index (Hirsch, Proc Natl Acad Sci USA 102(46):16569-16572, 2005). Given the high correlations between the old and new “crown” indicators, one can expect that the lack of correlation with the peer-review based quality indicator applies equally to the newly developed ones.

Keywords: Analysis, Citation, Citation Analysis, Citations, Excellence, h Index, h-Index, Impact, Index, Indicator, Indicators, Journal, Output, Peer Review, Peer-Review, Performance, Quality, Rankings, Review, Science, Scientometrics, Selection, Selection, USA

? Waltman, L., van Eck, N.J., van Leeuwen, T.N., Visser, M.S. and van Raan, A.F.J. (2011), On the correlation between bibliometric indicators and peer review: Reply to Opthof and Leydesdorff. Scientometrics, 88 (3), 1017-1022.

Full Text: 2011\Scientometrics88, 1017.pdf

Abstract: Opthof and Leydesdorff (Scientometrics, 2011) reanalyze data reported by Van Raan (Scientometrics 67(3):491-502, 2006) and conclude that there is no significant correlation between on the one hand average citation scores measured using the CPP/FCSm indicator and on the other hand the quality judgment of peers. We point out that Opthof and Leydesdorff draw their conclusions based on a very limited amount of data. We also criticize the statistical methodology used by Opthof and Leydesdorff. Using a larger amount of data and a more appropriate statistical methodology, we do find a significant correlation between the CPP/FCSm indicator and peer judgment.

Keywords: Bibliometric, Bibliometric Indicator, Bibliometric Indicators, Citation, Citation Analysis, Correlation, Hand, Index, Methodology, Peer Review, Peer-Review, Review, Scientometrics, Statistical

? Teixeira, A.A.C. (2011), Mapping the (in)visible college(s) in the field of entrepreneurship. Scientometrics, 89 (1), 1-36.

Full Text: 2011\Scientometrics89, 1.pdf

Abstract: Despite the vitality and dynamism that the field of entrepreneurship has experienced in the last decade, the issue of whether it comprises an effective network of (in)formal communication linkages among the most influential scholars within the area has yet to be examined in depth. This study follows a formal selection procedure to delimit the ‘relational environment’ of the field of entrepreneurship and to analyze the existence and characterization of (in)visible college(s) based on a theoretically well-grounded framework, thus offering a comprehensive and up-to-date empirical analysis of entrepreneurship research. Based on more than a 1,000 papers published between 2005 and 2010 in seven core entrepreneurship journals and the corresponding (85,000) citations, we found that entrepreneurship is an (increasingly) autonomous, legitimate and cohesive (in)visible college, fine tuned through the increasing visibility of certain subject specialties (e.g., family business, innovation, technology and policy). Moreover, the rather dense formal links that characterize the entrepreneurship (in)visible college are accompanied by a reasonably solid network of informal relations maintained and sustained by the mobility of ‘stars’ and highly influential scholars. The limited internationalization of the entrepreneurship community, reflected in the almost total absence of non-English-speaking authors/studies/outlets, stands as a major quest for the field.

Keywords: Analysis, Bibliometrics, Bibliometrics, Characterization, Citation, Citations, Cocitation Analysis, Communication, Depth, Entrepreneurship, Environment, Family, Future, Innovation, Invisible College, Invisible College, Journals, Nanotechnology, Network, Papers, Policy, Research, Scholarship, Social-Science, Visibility

? Finardi, U. (2011), Time relations between scientific production and patenting of knowledge: The case of nanotechnologies. Scientometrics, 89 (1), 37-50.

Full Text: 2011\Scientometrics89, 37.pdf

Abstract: Nanosciences and nanotechnologies are considered important for the development of science, technology and innovation, and the study of their characters can be a great help to the decisions of policy makers and of practitioners. This work is centred on the issue of the time relations between science and technology/innovation, and in particular on the speed of transfer of science-generated knowledge towards its exploitation in patenting. A methodology based on patent citations is used in order to measure the time lag between cited journal articles and citing patent, and thus the time proximity between the two steps. Keywords regarding nanotechnology/nanoscience items are searched in order to collect data useful for the analysis. Collateral measures, performed on another class of materials and on the spatial origin of citing/cited documents, help giving evidence of the peculiarity of the behaviour and on its nature. The most representative time lag between production of scientific knowledge and its technological exploitation appears being around 3-4 years.

Keywords: Analysis, Citations, Data Mining, Development, Field, Innovation, Journal, Journal Article, Knowledge, Knowledge Diffusion, Methodology, Nano-Science, Nanoscience, Nanosciences, Nanotechnologies, Patent, Patent-Research Relations, Policy, Science, Scientific Production, Technological Trajectories, Technology, Terms, Time

? Zhao, L.M. and Zhang, Q.P. (2011), Mapping knowledge domains of Chinese digital library research output, 1994-2010. Scientometrics, 89 (1), 51-87.

Full Text: 2011\Scientometrics89, 51.pdf

Abstract: The aim of this paper is to identify the research paradigms on digital libraries in China while compared with that of international digital libraries research via scientometric analysis. Co-word network constructed by keywords in documents and their co-occurrence relationships is a kind of mapping knowledge domains, which represents the cognitive and intellectual structure of science. A total of 6068 and 1250 papers published between 1994 and 2010 were, respectively retrieved from the China National Knowledge Infrastructure (CNKI) and ScienceDirect databases with a topic search of digital libraries or digital library in abstracts of papers. This paper uses methods of co-word analysis, social network analysis and mapping knowledge domains as theory basis, with assistance of softwares of UCINET and Netdraw, to construct the co-word network of digital libraries/library research in China, present the study status quo and evolution on digital libraries/library in China and analyze the research paradigm structure of digital libraries/library in China.

Keywords: Analysis, China, Co-Word Analysis, Databases, Digital Libraries, Digital Libraries, Library Research, Evolution, Intellectual Structure, Knowledge, Knowledge Domains, Mapping, Mapping Knowledge Domains, Papers, Research, Research Output, Science, Scientometric Analysis, Social, Social Network, Social Network Analysis, Theory

? Liu, C., Shan, W. and Yu, J. (2011), Shaping the interdisciplinary knowledge network of China: A network analysis based on citation data from 1981 to 2010. Scientometrics, 89 (1), 89-106.

Full Text: 2011\Scientometrics89, 89.pdf

Abstract: This study builds the interdisciplinary knowledge network of China, which is used to catch the knowledge exchange structure of disciplines, and investigates the evolution process from 1981 to 2010. A network analysis was performed to examine the special structure and we compare state of the networks in different periods to determine how the network has got such properties. The dataset are get from the reference relationship in literature on important Chinese academic journals from 1980 to 2010. The analytical results reveal the hidden network structure of interdisciplinary knowledge flows in China and demonstrate that the network is highly connected and has a homogeneous link structure and heterogeneous weight distribution. Through comparing of the network in three periods, that is 1981-1990, 1991-2000 and 2001-2010, we find that the special evolution process, which is limited by the number of nodes, play an important influence on interdisciplinary knowledge flows.

Keywords: Analysis, China, Citation, Collaboration, Complex Networks, Dynamics, Evolution, Evolution, Flow, Interdisciplinary Knowledge Network, Journals, Knowledge, Literature, Network Analysis, Structure, Transdisciplinary Research

? Nguyen, T.V. and Pham, L.T. (2011), Scientific output and its relationship to knowledge economy: An analysis of ASEAN countries. Scientometrics, 89 (1), 107-117.

Full Text: 2011\Scientometrics89, 107.pdf

Abstract: This article seeks to examine the relationship between scientific output and knowledge economy index in 10 South East Asian countries (ASEAN). Using bibliometric data of the Institute of Scientific Information, we analyzed the number of scientific articles published in international peer-reviewed journals between 1991 and 2010 for Vietnam, Cambodia, Laos, Thailand, Myanmar, Malaysia, Indonesia, Brunei, the Philippines, and Singapore. During the 20-year period, scientists from the ASEAN countries have published 165,020 original articles in ISI indexed journals, which represents similar to 0.5% of the world scientific output. Singapore led the region with the highest number of publications (accounting for 45% of the countries’ total publications), followed by Thailand (21%), Malaysia (16%), Vietnam (6%), Indonesia and the Philippines (5% each). The number of scientific articles from those countries has increased by 13% per year, with the rate of increase being highest in Thailand and Malaysia, and lowest in Indonesia and the Philippines. At the country level, the correlation between knowledge economy index and scientific output was 0.94. Based on the relationship between scientific output and knowledge economy, we identified 4 clusters of countries: Singapore as the first group; Thailand and Malaysia in the second group; Vietnam, Indonesia and the Philippines in the third group; and Cambodia, Laos, Myanmar and Brunei in the fourth group. These data suggested that there was a strong relationship between scientific research and the degree of “knowledgization” of economy.

Keywords: Analysis, Asean, Bibliometric, Bibliometric Analysis, China, Index, Indonesia, ISI, Journals, Knowledge, Knowledge Economy, Malaysia, Publications, Research, Science, Scientific Information, Scientific Output, Scientific Publication, Scientific Research, World

? Onel, S., Zeid, A. and Kamarthi, S. (2011), The structure and analysis of nanotechnology co-author and citation networks. Scientometrics, 89 (1), 119-138.

Full Text: 2011\Scientometrics89, 119.pdf

Abstract: Research activities and collaborations in nanoscale science and engineering have major implications for advancing technological frontiers in many fields including medicine, electronics, energy, and communication. The National Nanotechnology Initiative (NNI) promotes efforts to cultivate effective research and collaborations among nano scientists and engineers to accelerate the advancement of nanotechnology and its commercialization. As of August 2008, there have been over 800 products considered to benefit from nanotechnology directly or indirectly. However, today’s accomplishments in nanotechnology cannot be transformed into commercial products without productive collaborations among experts from disparate research areas such as chemistry, physics, math, biology, engineering, manufacturing, environmental sciences, and social sciences. To study the patterns of collaboration, we build and analyze the collaboration network of scientists and engineers who conduct research in nanotechnology. We study the structure of information flow through citation network of papers authored by nano area scientists. We believe that the study of nano area co-author and paper citation networks improve our understanding of patterns and trends of the current research efforts in this field. We construct these networks based on the publication data collected for years ranging 1993 through 2008 from the scientific literature database “Web of Science”. We explore those networks to find out whether they follow power-law degree distributions and/or if they have a signature of hierarchy. We investigate the small-world characteristics and the existence of possible community structures in those networks. We estimate the statistical properties of the networks and interpret their significance with respect to the nano field.

Keywords: Activities, Analysis, Biology, Citation, Citation Network, Citation Networks, Co-Author Network, Collaboration, Communication, Complex Networks, Dynamics, Energy, Environmental, Environmental Sciences, Information, Internet, Literature, Medicine, Nano Technology, Nanotechnology, Papers, Publication, Research, Science, Sciences, Small-World Networks, Social, Social Sciences, Statistical, Trends, Wide-Web

? Lewison, G. and Markusova, V. (2011), Female researchers in Russia: Have they become more visible? Scientometrics, 89 (1), 139-152.

Full Text: 2011\Scientometrics89, 139.pdf

Abstract: This study is based on the fact that the surnames of many Russian scientists have gender endings, with “a” denoting a female, so that the sex of most of them can be readily determined from the listing of authors in the Web of Science (WoS). A comparison was made between the proportion of females in 1985, 1995, and 2005, with a corresponding analysis of the major fields in which they worked, their propensity to co-author papers internationally (which often necessitates having the opportunity to travel to conferences abroad to meet possible colleagues), and their citation records. We found, as expected, that women had a higher presence in the biological sciences and a very low presence in engineering, mathematics, and physics. Their citation scores, on a fractionated basis, were lower than those for men in almost all fields and years, and were not explained by their writing of fewer reviews and papers in English (both of which lead to higher citations), or their lower amount of international collaboration in 1995 and 2005 after Russia had become a more open society.

Keywords: Analysis, Authors, Authorship, Bibliometric Analysis, Bibliometrics, Cancer-Research, Citation, Citations, Collaboration, Female, Gender, Gender-Gap, International Collaboration, Journals, Lead, Men, Papers, Researchers, Russia, Science, Sciences, Scientific Productivity, Sex, Surnames, Technology, Web of Science, Women, Women Scientists, WOS, Writing

? Benito, M. and Romera, R. (2011), Improving quality assessment of composite indicators in university rankings: A case study of French and German universities of excellence. Scientometrics, 89 (1), 153-176.

Full Text: 2011\Scientometrics89, 153.pdf

Abstract: Composite indicators play an essential role for benchmarking higher education institutions. One of the main sources of uncertainty building composite indicators and, undoubtedly, the most debated problem in building composite indicators is the weighting schemes (assigning weights to the simple indicators or subindicators) together with the aggregation schemes (final composite indicator formula). Except the ideal situation where weights are provided by the theory, there clearly is a need for improving quality assessment of the final rank linked with a fixed vector of weights. We propose to use simulation techniques to generate random perturbations around any initial vector of weights to obtain robust and reliable ranks allowing to rank universities in a range bracket. The proposed methodology is general enough to be applied no matter the weighting scheme used for the composite indicator. The immediate benefit achieved is a reduction of the uncertainty associated with the assessment of a specific rank which is not representative of the real performance of the university, and an improvement of the quality assessment of composite indicators used to rank. To illustrate the proposed methodology we rank the French and the German universities involved in their respective 2008 Excellence Initiatives.

Keywords: Assessment, Benchmarking, Composite, Composite Indicators, Education, Excellence, Higher Education, Higher Education Institutions, Methodology, Rankings, Reduction, Simulation, Simulation Techniques, Theory, University, Vector, Weighting Schemes

? Costas, R., van Leeuwen, T.N. and van Raan, A.F.J. (2011), The “Mendel syndrome” in science: Durability of scientific literature and its effects on bibliometric analysis of individual scientists. Scientometrics, 89 (1), 177-205.

Full Text: 2011\Scientometrics89, 177.pdf

Abstract: The obsolescence and “durability” of scientific literature have been important elements of debate during many years, especially regarding the proper calculation of bibliometric indicators. The effects of “delayed recognition” on impact indicators have importance and are of interest not only to bibliometricians but also among research managers and scientists themselves. It has been suggested that the “Mendel syndrome” is a potential drawback when assessing individual researchers through impact measures. If publications from particular researchers need more time than “normal” to be properly acknowledged by their colleagues, the impact of these researchers may be underestimated with common citation windows. In this paper, we answer the question whether the bibliometric indicators for scientists can be significantly affected by the Mendel syndrome. Applying a methodology developed previously for the classification of papers according to their durability (Costas et al., J Am Soc Inf Sci Technol 61(8):1564-1581, 2010a; J Am Soc Inf Sci Technol 61(2):329-339, 2010b), the scientific production of 1,064 researchers working at the Spanish Council for Scientific Research (CSIC) in three different research areas has been analyzed. Cases of potential “Mendel syndrome” are rarely found among researchers and these cases do not significantly outperform the impact of researchers with a standard pattern of reception in their citations. The analysis of durability could be included as a parameter for the consideration of the citation windows used in the bibliometric analysis of individuals.

Keywords: Analysis, Bibliometric, Bibliometric Analysis, Bibliometric Indicators, Citation, Citations, CSIC, Discoveries, Durability, Half-Life, Highly Cited Papers, Impact, Indicators, Individual Level Analysis, Interest, Journals, Literature, Mendel Syndrome, Methodology, Micro-Level Analysis, Obsolescence, Papers, Publications, Reception, Research, Research Performance, Researchers, Resistance, Science, Scientific Production

? Duffy, R.D., Jadidian, A., Webster, G.D. and Sandell, K.J. (2011), The research productivity of academic psychologists: Assessment, trends, and best practice recommendations. Scientometrics, 89 (1), 207-227.

Full Text: 2011\Scientometrics89, 207.pdf

Abstract: Research productivity affects the careers of academic psychologists. Unfortunately, there is a surprising lack of consensus on productivity’s meaning, measurement, and how to compare the productivity of one academic psychologist to another. In the present study, we review academic productivity research within psychology, and using a sample of 673 psychologists, compute six indexes of productivity. Most productivity metrics (publication count, citation count, or some combination of the two) were substantially interrelated and one (Integrated Research Productivity Index) was independent from years in the field. Female psychologists were equally as productive as male psychologists after accounting for years in the field, and pre-tenure psychologists showed steeper change-over-time productivity slopes than post-tenure psychologists. Based on these findings, we provide recommendations for the use and measurement of academic research productivity.

Keywords: Academic Psychologists, Assessment, Citation, Counseling-Psychology, Educational-Psychologists, Female, Gender, Indexes, Institutional Research Productivity, Job-Performance, Journals, Male, Management, Measurement, Metrics, Personality, Practice, Productivity, Publication, Publication Productivity, Recommendations, Research, Research Productivity, Review, Scholarly Productivity, Trends

? Garcia, J.A., Rodriguez-Sanchez, R. and Fdez-Valdivia, J. (2011), Overall prestige of journals with ranking score above a given threshold. Scientometrics, 89 (1), 229-243.

Full Text: 2011\Scientometrics89, 229.pdf

Abstract: Here we show a longitudinal analysis of the overall prestige of first quartile journals during the period between 1999 and 2009, on the subject areas of Scopus. This longitudinal study allows us to analyse developmental trends over times in different subject areas with distinct citation and publication patterns. To this aim, we first introduce an axiomatic index of the overall prestige of journals with ranking score above a given threshold. Here we demonstrate that, between 1999 and 2009, there was high and increasing overall prestige of first quartile journals in only four areas of Scopus. Also, there was high and decreasing overall prestige of first quartile journals in five areas. Two subject areas showed high and oscillating overall prestige of first quartile journals. And there was low and increasing overall prestige in four areas, since the 1999.

Keywords: Analysis, Axiomatic Index, Bibliometric Analysis, Citation, First Quartile Journals, Impact, Journals, Longitudinal Analysis, Longitudinal Study, Overall Prestige, Poverty, Publication, Publication Analysis, Ranking, Ranking Methods, Scopus, Trends

? Wu, Q. and Wolfram, D. (2011), The influence of effects and phenomena on citations: A comparative analysis of four citation perspectives. Scientometrics,



Download 6.47 Mb.

Share with your friends:
1   ...   161   162   163   164   165   166   167   168   ...   275




The database is protected by copyright ©ininet.org 2024
send message

    Main page