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
Parents
85
1–5 of 85
252
8
h-index
5
h-index
4
h-index
3
h-index
3
h-index
1–5 of 252
138

Centre National de la Recherche Scientifique
Paris, France
9 h-index
26 publications
782 citations
Centre de Recherche en Automatique de Nancy
Nancy, France
9 h-index
32 publications
1.2K citations
University of Florida
Gainesville, United States
4 h-index
8 publications
147 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
3 publications
667 citations
University of Delaware
Newark, United States
2 h-index
3 publications
109 citations

NSF National Center for Atmospheric Research
Boulder, United States
2 h-index
6 publications
3.7K citations
Hewlett-Packard (United States)
Palo Alto, United States
2 h-index
2 publications
37 citations
Institut National Polytechnique de Toulouse
Toulouse, France
2 h-index
5 publications
94 citations
1–8 of 138
3 publications · 58 citations
3
h-index
2 publications · 1.2K citations
2
h-index
2 publications · 71 citations
2
h-index
2 publications · 59 citations
2
h-index
2 publications · 74 citations
2
h-index
1–5