Global Sensitivity Analysis is a systematic method for determining the influence of individual input parameters and their interactions on the output variability of a model across the entire input space, thereby distinguishing itself from local sensitivity analyses by accounting for global parameter variations and nonlinear responses.
1.4K
Publications
85.5K
Citations
4.2K
Authors
1.4K
Institutions
Publications per year
2017–2026
791
Variants
Gsa
Publications
1.4K
1–5 of 1.4K
Authors
4.2K
- ZL
20
h-index
- ST
19
h-index
- SK
18
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- TW
17
h-index
- BS
14
h-index
1–5 of 4.2K
Institutions
1.4K
Joint Research Centre
Ispra, Italy
30 h-index
65 publications
18.6K citations
Northwestern Polytechnical University
Xi'an, China
27 h-index
197 publications
7.2K citations
Centre National de la Recherche Scientifique
Paris, France
25 h-index
108 publications
4K citations
Imperial College London
London, United Kingdom
25 h-index
69 publications
5.3K citations
ETH Zurich
Zurich, Switzerland
20 h-index
57 publications
3.5K citations
Chinese Academy of Sciences
Beijing, China
18 h-index
56 publications
2K citations
Politecnico di Milano
Milan, Italy
17 h-index
75 publications
3.2K citations
University of Bristol
Bristol, United Kingdom
17 h-index
43 publications
8K citations
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Venues
- Reliability Engineering & System Safety
70 publications · 9.3K citations
42
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- Environmental Modelling & Software
46 publications · 4.8K citations
32
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- Water Resources Research
46 publications · 3.2K citations
30
h-index
- Journal of Hydrology
22 publications · 3K citations
17
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- Structural and Multidisciplinary Optimization
17 publications · 812 citations
16
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