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arXiv:physics/0604130physics.data-an

Finding Scientific Gems with Google

P. Chen, H. Xie, S. Maslov, S. Redner

Abstract

We apply the Google PageRank algorithm to assess the relative importance of all publications in the Physical Review family of journals from 1893--2003. While the Google number and the number of citations for each publication are positively correlated, outliers from this linear relation identify some exceptional papers or "gems" that are universally familiar to physicists.

arXiv comments
6 pages, 4 figures, 2 tables, 2-column revtex4 format
Journal reference
J.Informet. 1 (2007) 8-15
DOI
doi:10.1016/j.joi.2006.06.001
Subjects
physics.data-anData Analysis, Statistics and Probability physics.soc-phPhysics and Society

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Discussed in comments2 threads

    • While I agree with you, I would not have chosen PageRank as a comparison. I cannot think of another domain where it made billions, but to me it is a pretty neat way of extracting information inside a graph. It just needs a concept that has transitive properties in order to…

      BenoitPView on HNParent context

    • I'm surprised they have just now noticed this. Redner's and Maslov's papers have been making the rounds in academia for at least two or three years. http://arxiv.org/abs/physics/0612122 http://arxiv.org/abs/physics/0604130

      Anon84View on HNParent context

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