Sensitivity Indices

Sensitivity Indices is a quantitative metric used in sensitivity analysis that characterizes the relative influence of individual input variables or groups of variables on the output variability of a model by systematically measuring changes in model response under variations in inputs.

445

Publications

48.7K

Citations

1.2K

Authors

648

Institutions

Publications per year

2017–2026

156

Authors

1.2K

  1. AS
    Andrea Saltelli

    Joint Research Centre, Italy

    13 publications · 11.4K citations

    13

    h-index

  2. ST
    Stefano Tarantola

    Joint Research Centre, Italy

    11 publications · 7.5K citations

    11

    h-index

  3. IM
    I. M. Sobol

    Keldysh Institute of Applied Mathematics, Russia

    9 publications · 7.6K citations

    9

    h-index

  4. SK
    Sergei Kucherenko

    Imperial College London, United Kingdom

    9 publications · 1.3K citations

    9

    h-index

  5. ZL
    Zhenzhou Lü

    Northwestern Polytechnical University, China

    9 publications · 263 citations

    9

    h-index

1–5 of 1.2K

Venues

  1. Reliability Engineering & System Safety

    21 publications · 3.7K citations

    19

    h-index

  2. Water Resources Research

    12 publications · 671 citations

    12

    h-index

  3. Environmental Modelling & Software

    10 publications · 2K citations

    10

    h-index

  4. Journal of Statistical Computation and Simulation

    JSCS · 8 publications · 988 citations

    8

    h-index

  5. Mathematics and Computers in Simulation

    6 publications · 6.8K citations

    6

    h-index

1–5