A fuzzy-based scoring rule for author ranking

Marta Cardin, Marco Corazza (), Stefania Funari and Silvio Giove ()
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Silvio Giove: Department of Economics, Ca� Foscari University of Venice.

No 2011_11, Working Papers from Department of Economics, University of Venice "Ca' Foscari"

Abstract: 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 l� Sugeno.

Keywords: Research evaluation; bibliometrics; author ranking; $h$-index; scoring rules; fuzzy inference system. (search for similar items in EconPapers)
JEL-codes: C02 I23 Z19 (search for similar items in EconPapers)
Pages: 13
Date: 2011
New Economics Papers: this item is included in nep-cmp and nep-sog
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ven:wpaper:2011_11

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