Editor:
Universidad Carlos III de Madrid. Departamento de Economía
Issued date:
2011-06
ISSN:
2340-5031
Sponsor:
European Community's Seventh Framework Program The author acknowledges financial support from Santander Universities Global Division of
Banco Santander, as well as from the Spanish MEC through grant SEJ2007-67436. This paper is part of the SCIFI-GLOW Collaborative Project supported by the European Commission’s Seventh Research Framework Programme, Contract no. SSH7-CT-2008-217436.
Rights:
Atribución-NoComercial-SinDerivadas 3.0 España
Abstract:
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 clariThis 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 U.S., 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.[+][-]