Artikel

The evaluation of citation distributions

This paper reviews a number of recent contributions that demonstrate that a blend of welfare economics and statistical analysis is useful in the evaluation of the citations received by scientific papers in the periodical literature. The paper begins by clarifying the role of citation analysis in the evaluation of research. Next, a summary of results about the citation distributions' basic features at different aggregation levels is offered. These results indicate that citation distributions share the same broad shape, are highly skewed, and are often crowned by a power law. In light of this evidence, a novel methodology for the evaluation of research units is illustrated by comparing the high- and low-citation impact achieved by the US, the European Union, and the rest of the world in 22 scientific fields. However, contrary to recent claims, it is shown that mean normalization at the sub-field level does not lead to a universal distribution. Nevertheless, among other topics subject to ongoing research, it appears that this lack of universality does not preclude sensible normalization procedures to compare the citation impact of articles in different scientific fields.

Sprache
Englisch

Erschienen in
Journal: SERIEs - Journal of the Spanish Economic Association ; ISSN: 1869-4195 ; Volume: 3 ; Year: 2012 ; Issue: 1/2 ; Pages: 291-310 ; Heidelberg: Springer

Klassifikation
Wirtschaft
Innovation and Invention: Processes and Incentives
Related Disciplines
Other Special Topics: General
Thema
citation analysis
power law
research performance
poverty measurement
European paradox
Wissenschaftstheorie
Forschung
Bewertung
Bibliometrie
Wohlfahrtstheorie
USA
EU-Staaten

Ereignis
Geistige Schöpfung
(wer)
Ruiz-Castillo, Javier
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2012

DOI
doi:10.1007/s13209-011-0074-3
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Ruiz-Castillo, Javier
  • Springer

Entstanden

  • 2012

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