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How to improve the outcome of performance evaluations in terms of percentiles for citation frequencies of my papers

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  • Schreiber, Michael

Abstract

Using empirical data I demonstrate that the result of performance evaluations by percentiles can be drastically influenced by the proper choice of the journal in which a manuscript is published.

Suggested Citation

  • Schreiber, Michael, 2014. "How to improve the outcome of performance evaluations in terms of percentiles for citation frequencies of my papers," Journal of Informetrics, Elsevier, vol. 8(4), pages 873-879.
    • Handle: RePEc:eee:infome:v:8:y:2014:i:4:p:873-879
    DOI: 10.1016/j.joi.2014.09.002
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    References listed on IDEAS

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    1. Loet Leydesdorff, 2012. "Accounting for the uncertainty in the evaluation of percentile ranks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2349-2350, November.
    2. Loet Leydesdorff & Lutz Bornmann & Rüdiger Mutz & Tobias Opthof, 2011. "Turning the tables on citation analysis one more time: Principles for comparing sets of documents," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1370-1381, July.
    3. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2013. "Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P1," Journal of Informetrics, Elsevier, vol. 7(4), pages 933-944.
    4. Ludo Waltman & Nees Jan van Eck, 2012. "A new methodology for constructing a publication‐level classification system of science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
    5. Loet Leydesdorff & Lutz Bornmann, 2011. "Integrated impact indicators compared with impact factors: An alternative research design with policy implications," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(11), pages 2133-2146, November.
    6. Bornmann, Lutz & Leydesdorff, Loet & Mutz, Rüdiger, 2013. "The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits," Journal of Informetrics, Elsevier, vol. 7(1), pages 158-165.
    7. Ludo Waltman & Nees Jan Eck, 2012. "A new methodology for constructing a publication-level classification system of science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
    8. Loet Leydesdorff & Tobias Opthof, 2013. "Citation analysis with medical subject Headings (MeSH) using the Web of Knowledge: A new routine," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(5), pages 1076-1080, May.
    9. Schreiber, Michael, 2014. "Examples for counterintuitive behavior of the new citation-rank indicator P100 for bibliometric evaluations," Journal of Informetrics, Elsevier, vol. 8(3), pages 738-748.
    10. Michael Schreiber, 2012. "Inconsistencies of recently proposed citation impact indicators and how to avoid them," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(10), pages 2062-2073, October.
    11. Michael Schreiber, 2013. "Uncertainties and ambiguities in percentiles and how to avoid them," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(3), pages 640-643, March.
    12. Michael Schreiber, 2013. "How much do different ways of calculating percentiles influence the derived performance indicators? A case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 821-829, December.
    13. Ronald Rousseau, 2012. "Basic properties of both percentile rank scores and the I3 indicator," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(2), pages 416-420, February.
    14. Michael Schreiber, 2012. "Inconsistencies of recently proposed citation impact indicators and how to avoid them," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(10), pages 2062-2073, October.
    15. Michael Schreiber, 2013. "Empirical evidence for the relevance of fractional scoring in the calculation of percentile rank scores," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(4), pages 861-867, April.
    16. Ronald Rousseau, 2012. "Basic properties of both percentile rank scores and the I3 indicator," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(2), pages 416-420, February.
    17. Michael Schreiber, 2013. "Uncertainties and ambiguities in percentiles and how to avoid them," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(3), pages 640-643, March.
    18. Ludo Waltman & Michael Schreiber, 2013. "On the calculation of percentile-based bibliometric indicators," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 372-379, February.
    19. Robert J. W. Tijssen & Martijn S. Visser & Thed N. van Leeuwen, 2002. "Benchmarking international scientific excellence: Are highly cited research papers an appropriate frame of reference?," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 381-397, July.
    20. Michael Schreiber, 2013. "Empirical evidence for the relevance of fractional scoring in the calculation of percentile rank scores," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(4), pages 861-867, April.
    21. Loet Leydesdorff & Lutz Bornmann, 2012. "Percentile ranks and the integrated impact indicator (I3)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(9), pages 1901-1902, September.
    22. Lutz Bornmann & Werner Marx & Andreas Barth, 2013. "The Normalization of Citation Counts Based on Classification Systems," Publications, MDPI, vol. 1(2), pages 1-9, August.
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    Cited by:

    1. Fabio Zagonari, 2019. "Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined," Publications, MDPI, vol. 7(2), pages 1-30, May.

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