Blog
About

  • Record: found
  • Abstract: found
  • Article: found
Is Open Access

Quantifying Long-Term Scientific Impact

Preprint

Read this article at

Bookmark
      There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

      Abstract

      The lack of predictability of citation-based measures frequently used to gauge impact, from impact factors to short-term citations, raises a fundamental question: Is there long-term predictability in citation patterns? Here, we derive a mechanistic model for the citation dynamics of individual papers, allowing us to collapse the citation histories of papers from different journals and disciplines into a single curve, indicating that all papers tend to follow the same universal temporal pattern. The observed patterns not only help us uncover basic mechanisms that govern scientific impact but also offer reliable measures of influence that may have potential policy implications.

      Related collections

      Most cited references 19

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Emergence of scaling in random networks

      Systems as diverse as genetic networks or the world wide web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature is found to be a consequence of the two generic mechanisms that networks expand continuously by the addition of new vertices, and new vertices attach preferentially to already well connected sites. A model based on these two ingredients reproduces the observed stationary scale-free distributions, indicating that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
        Bookmark
        • Record: found
        • Abstract: found
        • Article: not found

        An index to quantify an individual's scientific research output.

        I propose the index h, defined as the number of papers with citation number > or =h, as a useful index to characterize the scientific output of a researcher.
          Bookmark
          • Record: found
          • Abstract: not found
          • Article: not found

          NETWORKS OF SCIENTIFIC PAPERS.

           D. Price (1965)
            Bookmark

            Author and article information

            Journal
            14 June 2013
            2014-01-08
            1306.3293
            10.1126/science.1237825

            http://arxiv.org/licenses/nonexclusive-distrib/1.0/

            Custom metadata
            Science 4 October 2013: Vol. 342 no. 6154 pp. 127-132
            cs.DL cs.SI physics.soc-ph

            Comments

            Comment on this article