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
1.6K
Biotic interactions and global change
Choice Reviews Online · 1993 · 1.2K citations
David L. Hull · Annual Review of Ecology and Systematics · 1980 · 1K citations
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4.6K
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University of Maryland Center for Environmental Science, United States
15 publications · 1.2K citations
14
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13
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12
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1.7K

Helmholtz Centre for Environmental Research
Leipzig, Germany
36 h-index
103 publications
8.1K citations

Centre National de la Recherche Scientifique
Paris, France
35 h-index
157 publications
11.6K citations
University of Oxford
Oxford, United Kingdom
30 h-index
99 publications
6K citations

Imperial College London
London, United Kingdom
23 h-index
77 publications
3.5K citations

University of British Columbia
Vancouver, Canada
21 h-index
32 publications
5.4K citations
University of Washington
Seattle, United States
20 h-index
39 publications
1.8K citations

University of Groningen
Groningen, The Netherlands
19 h-index
53 publications
2.8K citations

Oak Ridge National Laboratory
Oak Ridge, United States
19 h-index
38 publications
3.2K citations
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143 publications · 11.3K citations
48
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83 publications · 4.1K citations
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AN · 61 publications · 4.1K citations
35
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49 publications · 3.2K citations
33
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36 publications · 1.8K citations
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