Universality in bibliometrics
Many discussions have enlarged the literature in Bibliometrics since the Hirsch proposal, the so called h-index. Ranking papers according to their citations, this index quantifies a researcher only by its greatest possible number of papers that are cited at least h times. A closed formula for h-index distribution that can be applied for distinct databases is not yet known. In fact, to obtain such distribution, the knowledge of citation distribution of the authors and its specificities are required. Instead of dealing with researchers randomly chosen, here we address different groups based on distinct databases. The first group is composed of physicists and biologists, with data extracted from Institute of Scientific Information (ISI). The second group is composed of computer scientists, in which data were extracted from Google-Scholar system. In this paper, we obtain a general formula for the h-index probability density function (pdf) for groups of authors by using generalized exponentials in the context of escort probability. Our analysis includes the use of several statistical methods to estimate the necessary parameters. Also an exhaustive comparison among the possible candidate distributions are used to describe the way the citations are distributed among authors. The h-index pdf should be used to classify groups of researchers from a quantitative point of view, which is meaningfully interesting to eliminate obscure qualitative methods.
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Volume (Year): 391 (2012)
Issue (Month): 5 ()
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References listed on IDEAS
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- Tol, Richard S.J., 2008.
"A rational, successive g-index applied to economics departments in Ireland,"
Journal of Informetrics,
Elsevier, vol. 2(2), pages 149-155.
- Richard S.J. Tol, 2007. "A Rational, Successive G-Index Applied To Economics Departments In Ireland," Working Papers FNU-147, Research unit Sustainability and Global Change, Hamburg University, revised Sep 2007.
- Woeginger, Gerhard J., 2008. "An axiomatic analysis of Egghe’s g-index," Journal of Informetrics, Elsevier, vol. 2(4), pages 364-368.
- S. Redner, 1998. "How popular is your paper? An empirical study of the citation distribution," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 4(2), pages 131-134, July.
- Julia Lane, 2010. "Let’s make science metrics more scientific," Working Paper Series of the German Council for Social and Economic Data 137, German Council for Social and Economic Data (RatSWD). Full references (including those not matched with items on IDEAS)
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