Data-driven Model Reduction
Data-Driven Model Reduction is a model reduction technique that belongs to the class of reduced-order modeling methods, distinguished by its reliance on empirical data rather than explicit physical or mathematical equations to construct low-dimensional approximations of high-dimensional systems.
263
Publications
12.8K
Citations
638
Authors
294
Institutions
Publications per year
2017–2026
198
Variants
Data-driven Model Order Reduction
Parents
263
Doug L. James, Christopher D. Twigg · ACM Transactions on Graphics · 2005 · 364 citations
Architecture, Anatomy, 3D Modeling +16
1–5 of 263
638
13
h-index
Scuola Internazionale Superiore di Studi Avanzati, Italy
8 publications · 502 citations
9
h-index
8
h-index
Courant Institute of Mathematical Sciences, United States
8 publications · 953 citations
8
h-index
6
h-index
1–5 of 638
294
Virginia Tech
Blacksburg, United States
10 h-index
13 publications
817 citations
ETH Zurich
Zurich, Switzerland
10 h-index
24 publications
1.6K citations
The University of Texas at Austin
Austin, United States
10 h-index
17 publications
1.1K citations
Max Planck Institute for Dynamics of Complex Technical Systems
Magdeburg, Germany
10 h-index
18 publications
562 citations

Scuola Internazionale Superiore di Studi Avanzati
Trieste, Italy
9 h-index
21 publications
1.5K citations

Imperial College London
London, United Kingdom
9 h-index
27 publications
1.4K citations
Texas A&M University
College Station, United States
8 h-index
23 publications
641 citations
American Institute of Aeronautics and Astronautics
Reston, United States
8 h-index
14 publications
2.5K citations
1–8 of 294
16 publications · 1.6K citations
17
h-index
16 publications · 1.2K citations
14
h-index
Repository · 9 publications · 392 citations
9
h-index
8 publications · 855 citations
9
h-index
8 publications · 205 citations
8
h-index
1–5