Promise and Pitfalls of Extending Google's PageRank Algorithm to Citation Networks

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dc.creatorMaslov, Sergei
dc.creatorRedner, S.
dc.date2009-01-17
dc.date.accessioned2026-07-07T12:31:29Z
dc.date.available2026-07-07T12:31:29Z
dc.descriptionWe review our recent work on applying the Google PageRank algorithm to find scientific "gems" among all Physical Review publications, and its extension to CiteRank, to find currently popular research directions. These metrics provide a meaningful extension to traditionally-used importance measures, such as the number of citations and journal impact factor. We also point out some pitfalls of over-relying on quantitative metrics to evaluate scientific quality.
dc.description3 pages, 1 figure, invited comment for the Journal of Neuroscience. The arxiv version is microscopically different from the published version
dc.identifierhttps://arxiv.org/abs/0901.2640
dc.identifierhttp://arxiv.org/abs/0901.2640
dc.identifierJournal of Neuroscience 28, 11103 (2008)
dc.identifierdoi:10.1523/JNEUROSCI.0002-08.2008
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/216459
dc.subjectPhysics and Society
dc.subjectData Analysis, Statistics and Probability
dc.titlePromise and Pitfalls of Extending Google's PageRank Algorithm to Citation Networks
dc.typetext

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