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Applying the CSS method to bibliometric indicators used in (university) rankings

Author

Listed:
  • Lutz Bornmann

    (Administrative Headquarters of the Max Planck Society)

  • Wolfgang Glänzel

    (KU Leuven
    Library of the Hungarian Academy of Sciences)

Abstract

This Letter to the Editor proposes to use the CSS method for classifying ranking results (e.g. from university rankings) into meaningful groups.

Suggested Citation

  • Lutz Bornmann & Wolfgang Glänzel, 2017. "Applying the CSS method to bibliometric indicators used in (university) rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 1077-1079, February.
    • Handle: RePEc:spr:scient:v:110:y:2017:i:2:d:10.1007_s11192-016-2198-5
    DOI: 10.1007/s11192-016-2198-5
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    References listed on IDEAS

    as
    1. Pedro Albarrán & Javier Ruiz‐Castillo, 2011. "References made and citations received by scientific articles," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(1), pages 40-49, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Lutz Bornmann & Wolfgang Glänzel, 2018. "Which differences can be expected when two universities in the Leiden Ranking are compared? Some benchmarks for institutional research evaluations," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1101-1105, May.
    2. Lutz Bornmann & Klaus Wohlrabe, 2019. "Normalisation of citation impact in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 841-884, August.
    3. Robert Lehmann & Klaus Wohlrabe, 2017. "An Elo ranking for economics journals," Economics Bulletin, AccessEcon, vol. 37(4), pages 2282-2291.
    4. Tahamtan, Iman & Bornmann, Lutz, 2018. "Creativity in science and the link to cited references: Is the creative potential of papers reflected in their cited references?," Journal of Informetrics, Elsevier, vol. 12(3), pages 906-930.
    5. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Soldatenkova, Anastasiia, 2017. "An investigation on the skewness patterns and fractal nature of research productivity distributions at field and discipline level," Journal of Informetrics, Elsevier, vol. 11(1), pages 324-335.
    6. Lutz Bornmann & Adam Y. Ye & Fred Y. Ye, 2017. "Sequence analysis of annually normalized citation counts: an empirical analysis based on the characteristic scores and scales (CSS) method," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1665-1680, December.

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