Testing bibliometric indicators by their prediction of scientists promotions

Autor: Jean-Baptiste Rouquier, Pablo Jensen, Yves Croissant
Přispěvatelé: Laboratoire d'économie des transports (LET), Université Lumière - Lyon 2 (UL2)-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique de l'ENS Lyon (Phys-ENS), École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Institut Rhône-Alpin des systèmes complexes (IXXI), École normale supérieure - Lyon (ENS Lyon)-Université Lumière - Lyon 2 (UL2)-Université Joseph Fourier - Grenoble 1 (UJF)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Informatique du Parallélisme (LIP), Centre National de la Recherche Scientifique (CNRS)-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École normale supérieure - Lyon (ENS Lyon), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), École normale supérieure de Lyon (ENS de Lyon)-Université Lumière - Lyon 2 (UL2)-Université Joseph Fourier - Grenoble 1 (UJF)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2008
Předmět:
FOS: Computer and information sciences
Physics - Physics and Society
academic career
media_common.quotation_subject
bibliometric indicators
scientific career
FOS: Physical sciences
Physics and Society (physics.soc-ph)
Library and Information Sciences
050905 science studies
Statistics - Applications
Promotion (rank)
career
Single indicator
Econometrics
Applications (stat.AP)
h-index
Productivity
Mathematics
media_common
[STAT.AP]Statistics [stat]/Applications [stat.AP]
[SHS.SOCIO]Humanities and Social Sciences/Sociology
[PHYS.PHYS.PHYS-SOC-PH]Physics [physics]/Physics [physics]/Physics and Society [physics.soc-ph]
05 social sciences
General Social Sciences
Probability and statistics
promotion
Computer Science Applications
citations
Physics - Data Analysis
Statistics and Probability
Hirsch index
0509 other social sciences
050904 information & library sciences
Data Analysis
Statistics and Probability (physics.data-an)
[PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis
Statistics and Probability [physics.data-an]
Zdroj: Scientometrics
Scientometrics, Springer Verlag, 2008, 78 (3), pp.0. ⟨10.1007/s11192-007-2014-3⟩
Scientometrics, 2008, 78 (3), pp.0. ⟨10.1007/s11192-007-2014-3⟩
ISSN: 1588-2861
0138-9130
Popis: International audience; We have developed a method to obtain robust quantitative bibliometric indicators for several thousand scientists. This allows us to study the dependence of bibliometric indicators (such as number of publications, number of citations, Hirsch index...) on the age, position, etc. of CNRS scientists. Our data suggests that the normalized h index (h divided by the career length) is not constant for scientists with the same productivity but differents ages. We also compare the predictions of several bibliometric indicators on the promotions of about 600 CNRS researchers. Contrary to previous publications, our study encompasses most disciplines, and shows that no single indicator is the best predictor for all disciplines. Overall, however, the Hirsch index h provides the least bad correlations, followed by the number of papers published. It is important to realize however that even h is able to recover only half of the actual promotions. The number of citations or the mean number of citations per paper are definitely not good predictors of promotion.
Databáze: OpenAIRE
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