Model Reduction
Model Reduction is a methodological framework within mathematical and computational modeling that systematically simplifies high-dimensional or complex dynamical systems—such as those arising in Computational Solid Mechanics, State-Space Representation, or Systems Pharmacology Modeling—by retaining essential input-output, structural, or dynamical features while eliminating or aggregating less influential states or parameters, thereby enabling efficient simulation, analysis, and control design without significant loss of accuracy.
3.7K
Publications
191K
Citations
6.7K
Authors
1.8K
Institutions
Publications per year
2017–2026
1K
3.7K
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Max Planck Institute for Dynamics of Complex Technical Systems, Germany
79 publications · 5.1K citations
29
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Centre National de la Recherche Scientifique
Paris, France
46 h-index
307 publications
14.5K citations
Massachusetts Institute of Technology
Cambridge, United States
44 h-index
217 publications
17.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
32 h-index
134 publications
6.2K citations
Max Planck Institute for Dynamics of Complex Technical Systems
Magdeburg, Germany
32 h-index
174 publications
8.2K citations
Virginia Tech
Blacksburg, United States
29 h-index
97 publications
7.5K citations

Imperial College London
London, United Kingdom
29 h-index
106 publications
6K citations
Stanford University
Stanford, United States
29 h-index
94 publications
8.7K citations
University of Stuttgart
Stuttgart, Germany
27 h-index
117 publications
3.9K citations
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140 publications · 14.7K citations
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89 publications · 6K citations
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87 publications · 5.4K citations
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74 publications · 4.7K citations
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62 publications · 5.9K citations
33
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