Sensitivity Analysis In Simulation Models

Sensitivity Analysis in Simulation Models is a systematic method for assessing how variations in input parameters of a simulation model influence its output behavior, distinguishing itself by quantifying the relative importance of inputs in deterministic or stochastic modeling environments.

591

Publications

54.1K

Citations

1.4K

Authors

645

Institutions

Publications per year

2017–2026

115

Authors

1.4K

  1. AS
    Andrea Saltelli

    Joint Research Centre, Italy

    28 publications · 13.9K citations

    24

    h-index

  2. ST
    Stefano Tarantola

    Joint Research Centre, Italy

    21 publications · 7.9K citations

    21

    h-index

  3. JK
    J.P.C. Kleijnen

    Tilburg University, Netherlands

    19 publications · 829 citations

    15

    h-index

  4. EB
    Emanuele Borgonovo

    Bocconi University, Italy

    10 publications · 1.3K citations

    10

    h-index

  5. ZL
    Zhenzhou Lü

    Northwestern Polytechnical University, China

    9 publications · 379 citations

    9

    h-index

1–5 of 1.4K

Venues

  1. Reliability Engineering & System Safety

    36 publications · 5K citations

    25

    h-index

  2. Environmental Modelling & Software

    25 publications · 6.1K citations

    22

    h-index

  3. Ecological Modelling

    12 publications · 1.2K citations

    12

    h-index

  4. Technometrics

    7 publications · 1.1K citations

    7

    h-index

  5. Winter Simulation Conference

    Conference · 7 publications · 154 citations

    7

    h-index

1–5