Model Coupling

Model Coupling is a formal integration mechanism that enables interoperability between distinct computational models by exchanging data or control signals during execution, distinguished from other model integration approaches by its emphasis on preserving model autonomy while achieving coordinated behavior.

284

Publications

14.1K

Citations

1K

Authors

430

Institutions

Publications per year

2017–2026

90

Authors

1K

  1. RJ
    Robert Jacob

    Argonne National Laboratory, United States

    6 publications · 1.2K citations

    6

    h-index

  2. KL
    K. L. Ngai

    United States Naval Research Laboratory, United States

    5 publications · 164 citations

    5

    h-index

  3. JW
    J. Walter Larson

    Argonne National Laboratory, United States

    5 publications · 810 citations

    5

    h-index

  4. MB
    Martin Benedikt

    Virtual Vehicle Research GmbH (Austria), Austria

    3 publications · 60 citations

    3

    h-index

  5. CW
    Christopher W. Armstrong

    The University of Melbourne, Australia

    3 publications · 68 citations

    3

    h-index

1–5 of 1K

Venues

  1. Sustainability

    8 publications · 240 citations

    8

    h-index

  2. Environmental Modelling & Software

    7 publications · 468 citations

    7

    h-index

  3. Geoscientific model development

    6 publications · 241 citations

    6

    h-index

  4. Decision Support Systems

    5 publications · 208 citations

    5

    h-index

  5. Journal of Hydrology

    5 publications · 1.1K citations

    5

    h-index

1–5