Derivative-based Sensitivity Analysis
Derivative-Based Sensitivity Analysis is a sensitivity analysis method that quantifies the influence of input variables on a model's output by evaluating the partial derivatives of the output function with respect to each input, thereby distinguishing itself from variance- or sampling-based approaches through its reliance on local gradient information.
139
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11.7K
Citations
283
Authors
151
Institutions
Publications per year
2017–2026
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139
Sensitivity Estimates for Nonlinear Mathematical Models
I. M. Sobol · Medical Entomology and Zoology · 1990 · 2.8K citations
A Comparison of Sensitivity Analysis Techniques
D.M. Hamby · Health Physics · 1995 · 320 citations
Medicine, Environmental Engineering, Nuclear Engineering +16
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Langley Research Center, United States
5 publications · 347 citations
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Langley Research Center
Hampton, United States
12 h-index
16 publications
1.9K citations
Virginia Tech
Blacksburg, United States
10 h-index
12 publications
1.4K citations

Imperial College London
London, United Kingdom
8 h-index
13 publications
2.1K citations

Northwestern Polytechnical University
Xi'an, China
4 h-index
13 publications
351 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
7 publications
859 citations

University of French Guiana
Cayenne, French Guiana
3 h-index
3 publications
79 citations

Oak Ridge National Laboratory
Oak Ridge, United States
3 h-index
5 publications
553 citations
Keldysh Institute of Applied Mathematics
Moscow, Russia
3 h-index
3 publications
615 citations
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12 publications · 1.1K citations
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6 publications · 526 citations
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5 publications · 631 citations
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4 publications · 227 citations
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4 publications · 241 citations
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