Agent-based Flow Modeling

Agent-Based Flow Modeling is a computational simulation approach within flow modeling that represents system dynamics through the interactions of autonomous, rule-based agents to capture emergent behaviors in complex flow processes.

83

Publications

3.9K

Citations

272

Authors

148

Institutions

Publications per year

2017–2026

37

Authors

272

  1. WK
    Wai Kin Victor Chan

    Rensselaer Polytechnic Institute, United States

    2 publications · 54 citations

    2

    h-index

  2. LD
    Leandro D’Aurizio

    Bank of Italy, Italy

    2 publications · 391 citations

    2

    h-index

  3. CB
    Claudia Biancotti

    Bank of Italy, Italy

    2 publications · 391 citations

    2

    h-index

  4. CI
    Claudio Impenna

    Bank of Italy, Italy

    2 publications · 391 citations

    2

    h-index

  5. ME
    Mark E. Nissen

    Naval Postgraduate School, United States

    2 publications · 79 citations

    2

    h-index

1–5 of 272

Venues

  1. 3

    h-index

  2. Journal of Evolutionary Economics

    JEE · 3 publications · 52 citations

    3

    h-index

  3. Sustainability

    3 publications · 108 citations

    3

    h-index

  4. Resources Conservation and Recycling

    3 publications · 82 citations

    3

    h-index

  5. Computers & Chemical Engineering

    3 publications · 150 citations

    3

    h-index

1–5