Description of different author ranking metrics

  1. Metrics in default view

    • Influence (Inf.)

      Influence is computed by distributing each author's influence across her publications, then onto those authors citing those publications. This computation extends the page-rank fixed point computation used in Google Search service. In this case, the solution gives each author an influence value that is in turn used to rank all the authors in a particular field.
    • Connections (Conn.)

      Connections is computed as the fixed point of the co-author matrix. An author ranked high by this metric co-authors with many other people, and/or people highly connected. Note, in this metric, no citation information is involved in this calculation.
    • #Citations (#Cit.)

      In this case, authors are ranked according to the number of citations received by the papers by the given author.
    • Paper Value (PVal)

      Newly added in V1.2, explain details in a technical report.
    • Exposure (Expo.)

      Newly added in V1.2, explain details in a technical report.
    • H-Index (H-in)

      Standard h-index for an author in each domain
    • G-index (G-in)

      Standard g-index for an author in each domain
  2. Metrics in full view

    • #Balanced Citations (#B-Cit.)

      In this case, authors are ranked according to his/her balanced citation counts. The the value of balanced citations an author gets by one coauthored paper is equal to the #citations devided by the #coauthors of this paper.
    • Follower (Fol.)

      Follower is computed as the fixed point of the author-follower matrix. An author ranked high by this metric has been followed by many other people, and/or people largely followed. Note, in this metric, we do not consider any weighting factors according to the times an author has followed another. Each author will evenly distribute values to its following authors.
    • #Followers

      A follower of an author X is defined as an author who has cited a paper by X. This metric ranks authors by number of unique followers.
    • Credit

      Credit is computed in a similar way as "influence", but the focus is how to attribute the credit of each publication to its authors [RFMV2009]. The calculation of author scientific credits is based on the credit re-distribution matrix. In each matrix iteration, authors re-distribute their current credits to other authors according to the paper citation links. The re-distribution weight is affected by the number of authors of both citing and cited papers.