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  • × year_i:[2000 TO 2010}
  • × author_ss:"Willett, P."
  1. Ekmekcioglu, F.C.; Willett, P.: Effectiveness of stemming for Turkish text retrieval (2000) 0.00 
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  2. Artymiuk, P.J.; Spriggs, R.V.; Willett, P.: Graph theoretic methods for the analysis of structural relationships in biological macromolecules (2005) 0.00 
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    Date
    22. 7.2006 14:40:10
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.5, S.518-528
  3. Li, J.; Willett, P.: ArticleRank : a PageRank-based alternative to numbers of citations for analysing citation networks (2009) 0.00 
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    Abstract
    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.
  4. Willett, P.: From chemical documentation to chemoinformatics : 50 years of chemical information science (2009) 0.00 
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    Source
    Information science in transition, Ed.: A. Gilchrist

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