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Exploring And Understanding Citation-Based Scientific Metrics

Author

Listed:
  • MIKALAI KRAPIVIN

    (Department of Information Engineering and Computer Science, University of Trento, Trento, 38100, Italy)

  • MAURIZIO MARCHESE

    (Department of Information Engineering and Computer Science, University of Trento, Trento, 38100, Italy)

  • FABIO CASATI

    (Department of Information Engineering and Computer Science, University of Trento, Trento, 38100, Italy)

Abstract

This paper explores citation-based metrics, how they differ in ranking papers and authors, and why. We initially take as example three main metrics that we believe significant; the standard citation count, the more and more popularh-index, and a variation we propose of PageRank applied to papers (called PaperRank), that is appealing as it mirrors proven and successful algorithms for ranking web pages. As part of analyzing them, we develop generally applicable techniques and metrics for qualitatively and quantitatively analyzing indexes that evaluate content and people, as well as for understanding the causes of their different behaviors. Finally, we extend the analysis to other popular indexes, to show whether the choice of the index has a significant effect in how papers and authors are ranked. We put the techniques at work on a dataset of over 260 K ACM papers, and discovered that the difference in ranking results is indeed very significant (even when restricting to citation-based indexes), with half of the top-ranked papers differing in a typical 20-element long search result page for papers on a given topic, and with the top researcher being ranked differently over half of the times in an average job posting with 100 applicants.

Suggested Citation

  • Mikalai Krapivin & Maurizio Marchese & Fabio Casati, 2010. "Exploring And Understanding Citation-Based Scientific Metrics," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 59-81.
    • Handle: RePEc:wsi:acsxxx:v:13:y:2010:i:01:n:s0219525910002487
    DOI: 10.1142/S0219525910002487
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    References listed on IDEAS

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    1. Editors, 2007. "Cicero on the Ethics of Information Asymmetry," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 1-1, August.
    2. ., 2007. "Costly Information and Decision Making," Chapters, in: Expectations, Rationality and Economic Performance, chapter 6, Edward Elgar Publishing.
    3. ., 2007. "Managing Horizontal Information Flows in Japan," Chapters, in: Asian Firms, chapter 2, Edward Elgar Publishing.
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    Cited by:

    1. Chen, Meiqian & Guo, Zhaoxia & Dong, Yucheng & Chiclana, Francisco & Herrera-Viedma, Enrique, 2021. "Citations optimal growth path: A tool to analyze sensitivity to citations of h-like indexes," Journal of Informetrics, Elsevier, vol. 15(4).

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