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Ranking scientists and departments in a consistent manner
Bouyssou D., Marchant T.
Journal of the American Society for Information Science and Technology 62, 9 (2011) 1761-1769 - http://hal.archives-ouvertes.fr/hal-00606931
Articles dans des revues avec comité de lecture
Sciences de l'Homme et Société/Economies et finances
Ranking scientists and departments in a consistent manner
Denis Bouyssou ( ) 1, Thierry Marchant ( ) 2
1 :  Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision (LAMSADE)
http://www.lamsade.dauphine.fr/
CNRS : UMR7024 – Université Paris IX - Paris Dauphine
Place de Lattre de Tassigny 75775 PARIS CEDEX 16
France
2 :  Department of Data Analysis
Ghent University
H. Dunantlann1 B- 9000 Gent
Belgique
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.
Anglais
01/03/2011

Journal of the American Society for Information Science and Technology
Publisher American Society for Information Science and Technology (ASIS&T): JASIS&T
ISSN 1532-2882 (eISSN : 1532-2890)
internationale
2011
62
9
1761-1769

Bibliometrics – ranking of scientists – ranking of departments
bibliometrics – ranking scientists – ranking departments – consistence

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