A fuzzy-based scoring rule for author ranking
The measurement of the quality of research has reached nowadays an increasing interest not only for scientific reasons but also for the critical problem of researchers' ranking, due to the lack of grant assignments. The most commonly used approach is based on the so-called $h$-index, even if the current literature debated a lot about its pros and cons. This paper, after a brief review of the $h$-index and of alternative models, focuses on the characterization and the implementation of a modified scoring rule approach by means of a fuzzy inference system a là Sugeno.
|Date of creation:||2011|
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- Cabrerizo, F.J. & Alonso, S. & Herrera-Viedma, E. & Herrera, F., 2010. "q2-Index: Quantitative and qualitative evaluation based on the number and impact of papers in the Hirsch core," Journal of Informetrics, Elsevier, vol. 4(1), pages 23-28.
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- Franceschet, Massimo & Costantini, Antonio, 2011. "The first Italian research assessment exercise: A bibliometric perspective," Journal of Informetrics, Elsevier, vol. 5(2), pages 275-291.
- Bouyssou, D. & Marchant, T., 2010. "Consistent bibliometric rankings of authors and of journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 365-378.
- Denis Bouyssou & Thierry Marchant, 2011. "Ranking scientists and departments in a consistent manner," Post-Print hal-00606931, HAL.
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