One component of research assessment has been, and will continue to be, the explicit (or implicit) ranking of journals. Despite the obvious limitations, citations data are generally used to generate rankings as they provide one of the few quantifiable aspects of a journal's performance. Previous ranking schemes based on multiple performance measures constructed from citations data, such as the 'Diamond core,' can be criticized for their use of arbitrary weighting schemes to generate their final rankings. This paper addresses this problem by applying ranking techniques, namely, data envelopment analysis and integer programming, which systematically allow for multiple performance measures. Copyright 1995 by Royal Economic Society.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 105 (1995) Issue (Month): 429 (March) Pages: 361-73 Download reference. The following formats are available: HTML
(with abstract),
plain text
(with abstract),
BibTeX,
RIS (EndNote, RefMan, ProCite),
ReDIF
For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Related research
Keywords:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)