Individual-based Models

Individual-Based Model is a computational simulation framework within ecological and population modeling that represents a system as a collection of autonomous agents, each governed by individual-level attributes and behaviors, thereby distinguishing it from aggregate or population-level models by explicitly capturing heterogeneity, local interactions, and emergent dynamics at the individual scale.

1.6K

Publications

102.3K

Citations

4.6K

Authors

1.7K

Institutions

Publications per year

2017–2026

438

Authors

4.6K

  1. VG
    Volker Grimm

    Helmholtz Centre for Environmental Research, Germany

    29 publications · 6.1K citations

    24

    h-index

  2. SF
    Steven F. Railsback

    Cal Poly Humboldt, United States

    17 publications · 4.6K citations

    16

    h-index

  3. KA
    Kenneth A. Rose

    University of Maryland Center for Environmental Science, United States

    15 publications · 1.2K citations

    14

    h-index

  4. DL
    Donald L. DeAngelis

    University of Miami, United States

    13 publications · 5.4K citations

    13

    h-index

  5. JM
    Justin M. J. Travis

    University of Aberdeen, United Kingdom

    14 publications · 623 citations

    12

    h-index

1–5 of 4.6K

Venues

  1. Ecological Modelling

    143 publications · 11.3K citations

    48

    h-index

  2. PLoS ONE

    83 publications · 4.1K citations

    37

    h-index

  3. The American Naturalist

    AN · 61 publications · 4.1K citations

    35

    h-index

  4. 33

    h-index

  5. PLoS Computational Biology

    36 publications · 1.8K citations

    25

    h-index

1–5