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Evaluating research institutions: the potential of the success-index


  • Fiorenzo Franceschini

    () (Politecnico di Torino)

  • Domenico Maisano

    () (Politecnico di Torino)

  • Luca Mastrogiacomo

    (Politecnico di Torino)


Similarly to the h-index and other indicators, the success-index is a recent indicator that makes it possible to identify, among a general group of papers, those of greater citation impact. This indicator implements a field-normalization at the level of single paper and can therefore be applied to multidisciplinary groups of articles. Also, it is very practical for normalizations aimed at achieving the so-called size-independency. Thanks to these (and other) properties, this indicator is particularly versatile when evaluating the publication output of entire research institutions. This paper exemplifies the potential of the success-index by means of several practical applications, respectively: (i) comparison of groups of researchers within the same scientific field, but affiliated with different universities, (ii) comparison of different departments of the same university, and (iii) comparison of entire research institutions. A sensitivity analysis will highlight the success-index’s robustness. Empirical results suggest that the success-index may be conveniently extended to large-scale assessments, i.e., involving a large number of researchers and research institutions.

Suggested Citation

  • Fiorenzo Franceschini & Domenico Maisano & Luca Mastrogiacomo, 2013. "Evaluating research institutions: the potential of the success-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 85-101, July.
  • Handle: RePEc:spr:scient:v:96:y:2013:i:1:d:10.1007_s11192-012-0887-2
    DOI: 10.1007/s11192-012-0887-2

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    References listed on IDEAS

    1. repec:ebl:ecbull:v:3:y:2008:i:78:p:1-9 is not listed on IDEAS
    2. 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.
    3. Burrell, Quentin L., 2007. "On the h-index, the size of the Hirsch core and Jin's A-index," Journal of Informetrics, Elsevier, vol. 1(2), pages 170-177.
    4. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2011. "National research assessment exercises: a comparison of peer review and bibliometrics rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 929-941, December.
    5. 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.
    6. Jean-Michel Courtault & Naïla Hayek, 2008. "On the Robustness of the h-index: a mathematical approach," Economics Bulletin, AccessEcon, vol. 3(78), pages 1-9.
    7. Zitt, Michel, 2010. "Citing-side normalization of journal impact: A robust variant of the Audience Factor," Journal of Informetrics, Elsevier, vol. 4(3), pages 392-406.
    8. Franceschini, Fiorenzo & Maisano, Domenico A., 2010. "Analysis of the Hirsch index's operational properties," European Journal of Operational Research, Elsevier, vol. 203(2), pages 494-504, June.
    9. Franceschini, Fiorenzo & Maisano, Domenico, 2011. "Structured evaluation of the scientific output of academic research groups by recent h-based indicators," Journal of Informetrics, Elsevier, vol. 5(1), pages 64-74.
    10. Moed, Henk F., 2010. "Measuring contextual citation impact of scientific journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 265-277.
    11. Xianwen Wang & Di Liu & Kun Ding & Xinran Wang, 2012. "Science funding and research output: a study on 10 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 591-599, May.
    12. Radicchi, Filippo & Castellano, Claudio, 2012. "Testing the fairness of citation indicators for comparison across scientific domains: The case of fractional citation counts," Journal of Informetrics, Elsevier, vol. 6(1), pages 121-130.
    13. Wolfgang Glänzel & András Schubert & Bart Thijs & Koenraad Debackere, 2011. "A priori vs. a posteriori normalisation of citation indicators. The case of journal ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 415-424, May.
    14. Ludo Waltman & Erjia Yan & Nees Jan Eck, 2011. "A recursive field-normalized bibliometric performance indicator: an application to the field of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 301-314, October.
    15. Franceschini, Fiorenzo & Galetto, Maurizio & Maisano, Domenico & Mastrogiacomo, Luca, 2012. "Further clarifications about the success-index," Journal of Informetrics, Elsevier, vol. 6(4), pages 669-673.
    16. Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano & Luca Mastrogiacomo, 2012. "The success-index: an alternative approach to the h-index for evaluating an individual’s research output," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 621-641, September.
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    Cited by:

    1. Fiorenzo Franceschini & Domenico Maisano & Luca Mastrogiacomo, 2014. "The citer-success-index: a citer-based indicator to select a subset of elite papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 963-983, November.
    2. Domenico A. Maisano & Luca Mastrogiacomo & Fiorenzo Franceschini, 2020. "Short-term effects of non-competitive funding to single academic researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1261-1280, June.
    3. Wang, Xing & Zhang, Zhihui, 2020. "Improving the reliability of short-term citation impact indicators by taking into account the correlation between short- and long-term citation impact," Journal of Informetrics, Elsevier, vol. 14(2).


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