Network Modeling

Network Modeling is a computational and mathematical modeling approach that represents system components as nodes and their interactions as edges in a graph-based structure to analyze, simulate, and predict the organization, dynamics, and function of complex biological and physiological systems.

8.3K

Publications

672.9K

Citations

18.6K

Authors

4K

Institutions

Publications per year

2017–2026

2.5K

Authors

18.6K

  1. ME
    M. E. J. Newman

    University of Michigan, United States

    34 publications · 25.7K citations

    32

    h-index

  2. GC
    Guanrong Chen

    City University of Hong Kong, Hong Kong SAR China

    39 publications · 4.4K citations

    26

    h-index

  3. YL
    Ying‐Cheng Lai

    Arizona State University, United States

    33 publications · 2.6K citations

    24

    h-index

  4. JK
    Jürgen Kurths

    Potsdam Institute for Climate Impact Research, Germany

    39 publications · 4.7K citations

    24

    h-index

  5. AB
    Albert-Ĺaszló Barabási

    Northeastern University, United States

    25 publications · 51K citations

    23

    h-index

1–5 of 18.6K

Venues

  1. Physical Review E

    PRE · 315 publications · 30.7K citations

    85

    h-index

  2. Physical Review Letters

    PRL · 91 publications · 14.7K citations

    62

    h-index

  3. Bioinformatics

    156 publications · 16.4K citations

    60

    h-index

  4. Scientific Reports

    156 publications · 9.1K citations

    46

    h-index

  5. PLoS ONE

    138 publications · 10.9K citations

    46

    h-index

1–5