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Eigenfactor: Does the principle of repeated improvement result in better estimates than raw citation counts?

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  • Philip M. Davis

Abstract

Eigenfactor.org, a journal evaluation tool that uses an iterative algorithm to weight citations (similar to the PageRank algorithm used for Google), has been proposed as a more valid method for calculating the impact of journals. The purpose of this brief communication is to investigate whether the principle of repeated improvement provides different rankings of journals than does a simple unweighted citation count (the method used by the Institute for Scientific Information@ [ISI]).

Suggested Citation

  • Philip M. Davis, 2008. "Eigenfactor: Does the principle of repeated improvement result in better estimates than raw citation counts?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(13), pages 2186-2188, November.
    • Handle: RePEc:bla:jamist:v:59:y:2008:i:13:p:2186-2188
    DOI: 10.1002/asi.20943
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