Input Uncertainty Analysis
Input Uncertainty Analysis is a systematic method within sensitivity analysis that identifies, quantifies, and characterizes the uncertainty in model inputs to assess their individual and combined influences on the variability of model outputs.
276
Publications
15.3K
Citations
904
Authors
408
Institutions
Publications per year
2017–2026
107
Parents
276
Being Sensitive to Uncertainty
Leon Arriola, James M. Hyman · Computing in Science & Engineering · 2007 · 962 citations
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Northwestern University
Evanston, United States
14 h-index
27 publications
1.2K citations

Pennsylvania State University
State College, United States
10 h-index
12 publications
583 citations

Northwestern Polytechnical University
Xi'an, China
8 h-index
26 publications
514 citations
University of Michigan
Ann Arbor, United States
7 h-index
10 publications
302 citations
North Carolina State University
Raleigh, United States
6 h-index
11 publications
466 citations
Joint Research Centre
Ispra, Italy
6 h-index
9 publications
993 citations
ETH Zurich
Zurich, Switzerland
5 h-index
10 publications
1K citations

Cornell University
Ithaca, United States
5 h-index
7 publications
181 citations
1–8 of 408
11 publications · 1.4K citations
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Conference · 10 publications · 195 citations
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6 publications · 110 citations
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5 publications · 168 citations
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5 publications · 767 citations
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