Sensitivity Analysis Of Model Parameters

Sensitivity Analysis of Model Parameters is a systematic method for quantifying the influence of variations in model parameter values on the outputs or predictions of a computational or mathematical model, distinguishing it from broader sensitivity analyses by specifically focusing on parameter-level uncertainties within the model structure.

1.4K

Publications

123.9K

Citations

3.6K

Authors

1.4K

Institutions

Publications per year

2017–2026

334

Authors

3.6K

  1. AS
    Andrea Saltelli

    Joint Research Centre, Italy

    43 publications · 21K citations

    33

    h-index

  2. ST
    Stefano Tarantola

    Joint Research Centre, Italy

    29 publications · 11.6K citations

    25

    h-index

  3. ZL
    Zhenzhou Lü

    Northwestern Polytechnical University, China

    16 publications · 663 citations

    13

    h-index

  4. SK
    Sergei Kucherenko

    Imperial College London, United Kingdom

    12 publications · 2K citations

    12

    h-index

  5. EB
    Emanuele Borgonovo

    Bocconi University, Italy

    12 publications · 1.4K citations

    12

    h-index

1–5 of 3.6K

Venues

  1. Reliability Engineering & System Safety

    70 publications · 8.1K citations

    41

    h-index

  2. Environmental Modelling & Software

    37 publications · 8.2K citations

    31

    h-index

  3. Water Resources Research

    23 publications · 2K citations

    19

    h-index

  4. Ecological Modelling

    20 publications · 1.5K citations

    16

    h-index

  5. Mechanical Systems and Signal Processing

    MSSP · 14 publications · 1.4K citations

    13

    h-index

1–5