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The use of the Percentage Rank Position index for comparative evaluation of journals

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  • Vinkler, Péter

Abstract

In the present paper the Percentage Rank Position (PRP) index concluding from the principle of Similar Distribution of Information Impact in different fields of science (Vinkler, 2013), is suggested to assess journals in different research fields comparatively. The publications in the journals dedicated to a field are ranked by citation frequency, and the PRP-index of the papers in the elite set of the field is calculated. The PRP-index relates the citation rank number of the paper to the total number of papers in the corresponding set. The sum of the PRP-index of the elite papers in a journal, PRP(j,F) may represent the eminence of the journal in the field. The non-parametric and non-dimensional PRP(j,F) index of journals is believed to be comparable across fields.

Suggested Citation

  • Vinkler, Péter, 2014. "The use of the Percentage Rank Position index for comparative evaluation of journals," Journal of Informetrics, Elsevier, vol. 8(2), pages 340-348.
    • Handle: RePEc:eee:infome:v:8:y:2014:i:2:p:340-348
    DOI: 10.1016/j.joi.2014.01.001
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    References listed on IDEAS

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    1. Caroline S. Wagner & Loet Leydesdorff, 2012. "An Integrated Impact Indicator: A new definition of 'Impact' with policy relevance," Research Evaluation, Oxford University Press, vol. 21(3), pages 183-188, July.
    2. Péter Vinkler, 2011. "Application of the distribution of citations among publications in scientometric evaluations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1963-1978, October.
    3. Lutz Bornmann & Rüdiger Mutz, 2014. "From P100 to P100': A new citation-rank approach," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(9), pages 1939-1943, September.
    4. Kosmulski, Marek, 2013. "Family-tree of bibliometric indices," Journal of Informetrics, Elsevier, vol. 7(2), pages 313-317.
    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. Peter Vinkler, 2010. "The πv-index: a new indicator to characterize the impact of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 461-475, March.
    7. Vinkler, Péter, 2012. "The case of scientometricians with the “absolute relative” impact indicator," Journal of Informetrics, Elsevier, vol. 6(2), pages 254-264.
    8. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    9. Péter Vinkler, 2011. "Application of the distribution of citations among publications in scientometric evaluations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 1963-1978, October.
    10. Kosmulski, Marek, 2011. "Successful papers: A new idea in evaluation of scientific output," Journal of Informetrics, Elsevier, vol. 5(3), pages 481-485.
    11. Péter Vinkler, 2012. "The Garfield impact factor, one of the fundamental indicators in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 471-483, August.
    12. Vinkler, Péter, 2013. "Comparative rank assessment of journal articles," Journal of Informetrics, Elsevier, vol. 7(3), pages 712-717.
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    Cited by:

    1. Péter Vinkler, 2017. "The size and impact of the elite set of publications in scientometric assessments," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 163-177, January.

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