Model Reconciliation

Model Reconciliation is a methodological framework within model integration that systematically aligns divergent computational or theoretical models by identifying and resolving structural, semantic, or parametric discrepancies to achieve coherent and consistent joint operation.

27

Publications

976

Citations

79

Authors

37

Institutions

Publications per year

2017–2026

13

Authors

79

  1. SK
    Subbarao Kambhampati

    Arizona State University, United States

    4 publications · 322 citations

    4

    h-index

  2. SS
    Sarath Sreedharan

    Arizona State University, United States

    4 publications · 322 citations

    4

    h-index

  3. TC
    Tathagata Chakraborti

    Arizona State University, United States

    4 publications · 322 citations

    4

    h-index

  4. SL
    Stylianos Loukas Vasileiou

    Washington University in St. Louis, United States

    3 publications · 48 citations

    3

    h-index

  5. WY
    William Yeoh

    New Mexico State University, United States

    3 publications · 48 citations

    3

    h-index

1–5 of 79

Venues

  1. Software & Systems Modeling

    SoSyM · 2 publications · 50 citations

    2

    h-index

  2. Theological Studies

    1 publications · 40 citations

    1

    h-index

  3. Procedia Computer Science

    1 publications · 17 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 40 citations

    1

    h-index

  5. International Regional Science Review

    IRSR · 1 publications · 28 citations

    1

    h-index

1–5