An EigenFactor-weighted power mean generalization of the Euclidean Index.

M Ryan Haley
Author Information
  1. M Ryan Haley: Department of Economics, University of Wisconsin Oshkosh, Oshkosh, WI, United States of America. ORCID

Abstract

This paper proposes a weighted generalization of the recently developed Euclidean Index. The weighting mechanism is designed to reflect the reputation of the journal within which an article appears. The weights are constructed using the Eigenfactor Article Influence percentiles scores. The rationale for assigning weights is that citations in more prestigious journals should be adjusted to logically reflect higher costs of production and higher vetting standards, and to partially counter several pragmatic issues surrounding truncated citation counts. Simulated and empirical demonstrations of the proposed approaches are included, which emphasize the flexibility and efficacy of the proposed generalization.

References

  1. Proc Natl Acad Sci U S A. 2005 Nov 15;102(46):16569-72 [PMID: 16275915]
  2. Proc Natl Acad Sci U S A. 2008 Nov 11;105(45):17268-72 [PMID: 18978030]
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MeSH Term

Bibliometrics
Journal Impact Factor
Periodicals as Topic

Word Cloud

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