Reduced-order Multiscale Modeling
Reduced-Order Multiscale Modeling is a computational modeling framework that belongs to the class of multiscale methods by integrating information across multiple spatial or temporal scales, distinguished by its use of dimensionality reduction techniques to simplify high-fidelity models while preserving essential system dynamics for efficient simulation and analysis.
58
Publications
2.2K
Citations
168
Authors
89
Institutions
Publications per year
2017–2026
29
58
1–5 of 58
168
4
h-index
Centro de Investigación de Métodos Computacionales, Argentina
3 publications · 241 citations
3
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3
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3
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2
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1–5 of 168
89
Texas A&M University
College Station, United States
6 h-index
15 publications
464 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
5 h-index
18 publications
1.3K citations
International Center for Numerical Methods in Engineering
Barcelona, Spain
5 h-index
12 publications
972 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
6 publications
257 citations
Virginia Tech
Blacksburg, United States
4 h-index
8 publications
416 citations

Vanderbilt University
Nashville, United States
3 h-index
6 publications
222 citations
Centro de Investigación de Métodos Computacionales
Santa Fe, Argentina
3 h-index
4 publications
266 citations

Consejo Nacional de Investigaciones Científicas y Técnicas
Buenos Aires, Argentina
3 h-index
5 publications
291 citations
1–8 of 89
8 publications · 544 citations
8
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6 publications · 508 citations
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4 publications · 84 citations
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3 publications · 62 citations
3
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3 publications · 77 citations
3
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1–5