Surrogate-based Sensitivity Analysis
Surrogate-Based Sensitivity Analysis is a systematic method for quantifying the influence of input variables on the output of a computational model by leveraging a surrogate model to approximate the model's behavior and efficiently compute sensitivity indices.
87
Publications
3.7K
Citations
231
Authors
125
Institutions
Publications per year
2017–2026
39
Parents
87
1–5 of 87
231
Rutgers, The State University of New Jersey, United States
4 publications · 174 citations
4
h-index
2
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2
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2
h-index
Rutgers, The State University of New Jersey, United States
2 publications · 124 citations
2
h-index
1–5 of 231
125
Rutgers, The State University of New Jersey
New Brunswick, United States
4 h-index
7 publications
323 citations

Ghent University
Ghent, Belgium
3 h-index
10 publications
302 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
7 publications
244 citations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
3 h-index
10 publications
291 citations

University of Shahrood
Shahrud, Iran
2 h-index
2 publications
75 citations
Beijing Jiaotong University
Beijing, China
2 h-index
5 publications
145 citations
CEA Cadarache
Saint-Paul-lès-Durance, France
2 h-index
6 publications
207 citations
ETH Zurich
Zurich, Switzerland
2 h-index
2 publications
98 citations
1–8 of 125
5 publications · 160 citations
6
h-index
2 publications · 66 citations
3
h-index
2 publications · 124 citations
2
h-index
2 publications · 125 citations
2
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2 publications · 55 citations
2
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1–5