EconPapers    
Economics at your fingertips  
 

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

Philip M. Davis

Journal of the American Society for Information Science and Technology, 2008, vol. 59, issue 13, 2186-2188

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]).

Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (36)

Downloads: (external link)
https://doi.org/10.1002/asi.20943

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jamist:v:59:y:2008:i:13:p:2186-2188

Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1532-2890

Access Statistics for this article

More articles in Journal of the American Society for Information Science and Technology from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:jamist:v:59:y:2008:i:13:p:2186-2188