Scientific Network Analysis

Scientific Network Analysis is a formal methodology within science of science that applies network-theoretic principles to map, quantify, and analyze patterns of collaboration, knowledge flow, and structural relationships among actors, institutions, or publications in the global scientific enterprise.

426

Publications

36.7K

Citations

1.3K

Authors

661

Institutions

Publications per year

2017–2026

154

Authors

1.3K

  1. LL
    Loet Leydesdorff

    University of Amsterdam, Netherlands

    12 publications · 1.7K citations

    12

    h-index

  2. ME
    M. E. J. Newman

    University of Michigan, United States

    7 publications · 13.4K citations

    7

    h-index

  3. JM
    Jano Moreira de Souza

    Universidade Federal do Rio de Janeiro, Brazil

    6 publications · 123 citations

    6

    h-index

  4. VS
    Victor Ströele

    Universidade Federal de Juiz de Fora, Brazil

    5 publications · 105 citations

    5

    h-index

  5. FG
    Francisco G. Montoya

    University of Almería, Spain

    4 publications · 125 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. Scientometrics

    39 publications · 1.5K citations

    23

    h-index

  2. PLoS ONE

    16 publications · 693 citations

    14

    h-index

  3. Journal of Informetrics

    12 publications · 1.2K citations

    11

    h-index

  4. 10

    h-index

  5. 7

    h-index

1–5