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DOI : 10.1002/asi.21544

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Journal of the American Society for Information Science and Technology 62, 9 (2011) 1761-1769

Ranking scientists and departments in a consistent manner

Denis Bouyssou (  Auteur correspondant ) 1, Thierry Marchant (  Auteur correspondant ) 2

(2011)

The standard data that we use when computing bibliometric rankings of scientists are just their publication/citation records, i.e., so many papers with 0 citation, so many with 1 citation, so many with 2 citations, etc. The standard data for bibliometric rankings of departments have the same structure. It is therefore tempting (and many authors gave in to temptation) to use the same method for computing rankings of scientists and rankings of departments. Depending on the method, this can yield quite surprising and unpleasant results. Indeed, with some methods, it may happen that the "best" department contains the "worst" scientists, and only them. This problem will not occur if the rankings satisfy a property called consistency, recently introduced in the literature. In this paper, we explore the consequences of consistency and we characterize two families of consistent rankings.

1 :	Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision (LAMSADE)
	CNRS : UMR7024 – Université Paris IX - Paris Dauphine
2 :	Department of Data Analysis
	Ghent University

Domaine

:

Sciences de l'Homme et Société/Economies et finances

Mots Clés : Bibliometrics – ranking of scientists – ranking of departments

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Contributeur : Denis Bouyssou <>

Soumis le : Mercredi 14 Septembre 2011, 11:06:20

Dernière modification le : Mercredi 14 Septembre 2011, 11:47:57