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Calibration against a reference set: A quantitative approach to assessment of the methods of assessment of scientific output

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  • Kosmulski, Marek

Abstract

A set of authors whose scientific output can be unequivocally ranged from the highest to the lowest is used to assess the methods of assessment of scientific output. The rank-rank correlation coefficient between the known order in the calibration set and the order produced by certain method of assessment is a quantitative measure of the quality of that method. A common-sense-based reference may play a positive role in the communication between the enthusiasts and antagonists of bibliometric indices.

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  • Kosmulski, Marek, 2012. "Calibration against a reference set: A quantitative approach to assessment of the methods of assessment of scientific output," Journal of Informetrics, Elsevier, vol. 6(3), pages 451-456.
    • Handle: RePEc:eee:infome:v:6:y:2012:i:3:p:451-456
    DOI: 10.1016/j.joi.2012.03.004
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    References listed on IDEAS

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    1. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
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    6. Kosmulski, Marek, 2010. "Hirsch-type index of international recognition," Journal of Informetrics, Elsevier, vol. 4(3), pages 351-357.
    7. Anthony F. J. Raan, 2006. "Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 491-502, June.
    8. Lutz Bornmann & Hans-Dieter Daniel, 2005. "Does the h-index for ranking of scientists really work?," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(3), pages 391-392, December.
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    Cited by:

    1. Frank Havemann & Birger Larsen, 2015. "Bibliometric indicators of young authors in astrophysics: Can later stars be predicted?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1413-1434, February.
    2. Marek Kosmulski, 2020. "Nobel laureates are not hot," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 487-495, April.
    3. Kosmulski, Marek, 2013. "Family-tree of bibliometric indices," Journal of Informetrics, Elsevier, vol. 7(2), pages 313-317.

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