Li, J. and Willett, P. (2009) ArticleRank: a PageRank-based alternative to numbers of citations for analysing citation networks. Aslib Proceedings, 61 (6). pp. 605-618. ISSN 0001-253XFull text available as:
Purpose - The purpose of this paper is to suggest an alternative to the widely used Times Cited criterion for analysing citation networks. The approach involves taking account of the natures of the papers that cite a given paper, so as to differentiate between papers that attract the same number of citations.
Design/methodology/approach - ArticleRank is an algorithm that has been derived from Google's PageRank algorithm to measure the influence of journal articles. ArticleRank is applied to two datasets - a citation network based on an early paper on webometrics, and a self-citation network based on the 19 most cited papers in the Journal of Documentation - using citation data taken from the Web of Knowledge database.
Findings - ArticleRank values provide a different ranking of a set of papers from that provided by the corresponding Times Cited values, and overcomes the inability of the latter to differentiate between papers with the same numbers of citations. The difference in rankings between Times Cited and ArticleRank is greatest for the most heavily cited articles in a dataset.
Originality/value - This is a novel application of the PageRank algorithm.
|Copyright, Publisher and Additional Information:||© 2009 Emerald Group. This is an author produced version of a paper subsequently published in Aslib Proceedings. Uploaded in accordance with the publisher's self-archiving policy.|
|Keywords:||Bibliographies; Reference services|
|Academic Units:||The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)|
|Depositing User:||Miss Anthea Tucker|
|Date Deposited:||27 Jan 2010 09:43|
|Last Modified:||08 Feb 2013 16:59|
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