Multiscale Modeling
Multiscale modeling is a computational methodology that couples mathematical models at different spatial and/or temporal scales to describe systems exhibiting phenomena across multiple orders of magnitude.
11.4K
Publications
718.9K
Citations
26.3K
Authors
4.7K
Institutions
Publications per year
2017–2026
3.3K
11.4K
David I Shuman, Sunil K. Narang, Pascal Frossard et al. · IEEE Signal Processing Magazine · 2013 · 4.4K citations · Full text
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4.7K

Centre National de la Recherche Scientifique
Paris, France
90 h-index
1.4K publications
86K citations
Stanford University
Stanford, United States
57 h-index
321 publications
39.1K citations
Massachusetts Institute of Technology
Cambridge, United States
56 h-index
315 publications
21.6K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
50 h-index
212 publications
32.3K citations
Northwestern University
Evanston, United States
49 h-index
246 publications
19.9K citations
Princeton University
Princeton, United States
48 h-index
202 publications
16K citations
University of Illinois Urbana-Champaign
Urbana, United States
48 h-index
316 publications
20.8K citations
The University of Texas at Austin
Austin, United States
46 h-index
225 publications
18K citations
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249 publications · 18K citations
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211 publications · 11.5K citations
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PRL · 116 publications · 13.7K citations
49
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PRE · 141 publications · 8.2K citations
47
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100 publications · 8.5K citations
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