Sensitivity Analysis

Sensitivity Analysis is a systematic method for assessing the stability and reliability of model outcomes by quantifying the extent to which variations in input parameters or assumptions influence the results, while distinguishing between competing sources of uncertainty within a given analytical framework.

6K

Publications

385.3K

Citations

13.2K

Authors

3.2K

Institutions

Publications per year

2017–2026

1.3K

Authors

13.2K

  1. AS
    Andrea Saltelli

    Joint Research Centre, Italy

    59 publications · 23.8K citations

    43

    h-index

  2. ST
    Stefano Tarantola

    Joint Research Centre, Italy

    51 publications · 15.1K citations

    41

    h-index

  3. ZL
    Zhenzhou Lü

    Northwestern Polytechnical University, China

    56 publications · 2.4K citations

    29

    h-index

  4. JH
    J.C. Helton

    Arizona State University, United States

    32 publications · 6.6K citations

    26

    h-index

  5. EB
    Emanuele Borgonovo

    Bocconi University, Italy

    33 publications · 3.1K citations

    23

    h-index

1–5 of 13.2K

Venues

  1. Reliability Engineering & System Safety

    224 publications · 22.1K citations

    64

    h-index

  2. Environmental Modelling & Software

    90 publications · 13.8K citations

    52

    h-index

  3. IEEE Transactions on Automatic Control

    92 publications · 8K citations

    38

    h-index

  4. Water Resources Research

    58 publications · 5.9K citations

    36

    h-index

  5. IEEE Transactions on Power Systems

    52 publications · 3.4K citations

    35

    h-index

1–5