Agent-based Population Models

Agent-Based Population Models is a computational modeling framework in spatial population ecology that simulates individual organisms as autonomous agents with distinct behaviors and interactions, thereby enabling the emergence of complex population dynamics from localized rules and spatial heterogeneity.

654

Publications

41.4K

Citations

2K

Authors

912

Institutions

Publications per year

2017–2026

205

Variants

Agent-based Population Modeling

Authors

2K

  1. CJ
    Christopher John Topping

    Aarhus University, Denmark

    7 publications · 415 citations

    7

    h-index

  2. VG
    Volker Grimm

    Helmholtz Centre for Environmental Research, Germany

    7 publications · 3.4K citations

    7

    h-index

  3. SJ
    Stephen J. Walsh

    University of North Carolina at Chapel Hill, United States

    6 publications · 324 citations

    6

    h-index

  4. SD
    Suzana Dragićević

    Simon Fraser University, Canada

    6 publications · 306 citations

    6

    h-index

  5. RR
    Ronald R. Rindfuss

    University of North Carolina at Chapel Hill, United States

    5 publications · 321 citations

    5

    h-index

1–5 of 2K

Venues

  1. Ecological Modelling

    29 publications · 5.1K citations

    22

    h-index

  2. PLoS ONE

    25 publications · 1.1K citations

    19

    h-index

  3. 18

    h-index

  4. Environmental Modelling & Software

    15 publications · 1.6K citations

    15

    h-index

  5. PLoS Computational Biology

    11 publications · 740 citations

    11

    h-index

1–5