Multiple Model Representation

Multiple Model Representation is a scientific modeling approach that integrates distinct, complementary models within a unified framework to capture diverse aspects or scales of a complex system, thereby enhancing explanatory power, predictive accuracy, and robustness beyond what any single model can achieve.

85

Publications

4.7K

Citations

252

Authors

138

Institutions

Publications per year

2017–2026

21

Authors

252

  1. JR
    José Ragot

    Centre de Recherche en Automatique de Nancy, France

    8 publications · 303 citations

    8

    h-index

  2. DM
    Didier Maquin

    Centre de Recherche en Automatique de Nancy, France

    5 publications · 165 citations

    5

    h-index

  3. MC
    Mohammed Chadli

    Université de Picardie Jules Verne, France

    4 publications · 98 citations

    4

    h-index

  4. BM
    Bo Mao

    Nanjing University of Finance and Economics, China

    3 publications · 91 citations

    3

    h-index

  5. GM
    Gilles Mourot

    Centre de Recherche en Automatique de Nancy, France

    3 publications · 138 citations

    3

    h-index

1–5 of 252

Venues

  1. IFAC Proceedings Volumes

    3 publications · 58 citations

    3

    h-index

  2. Water Resources Research

    2 publications · 1.2K citations

    2

    h-index

  3. 2

    h-index

  4. Journal of Mechanical Science and Technology

    2 publications · 59 citations

    2

    h-index

  5. Control Engineering Practice

    2 publications · 74 citations

    2

    h-index

1–5