Uncertainty Analysis

Uncertainty Analysis is an analytical method that systematically identifies, characterizes, and propagates uncertainties in data, model structure, and assumptions to quantify their effects on model outputs and the robustness of conclusions in quantitative evaluation and simulation studies.

11.4K

Publications

716.4K

Citations

30.1K

Authors

4.9K

Institutions

Publications per year

2017–2026

3.4K

Authors

30.1K

  1. KB
    Keith Beven

    Lancaster University, United Kingdom

    35 publications · 5.9K citations

    28

    h-index

  2. GI
    Gianluca Iaccarino

    Stanford University, United States

    44 publications · 3.1K citations

    27

    h-index

  3. SM
    Sankaran Mahadevan

    Vanderbilt University, United States

    40 publications · 1.9K citations

    26

    h-index

  4. JH
    J.C. Helton

    Arizona State University, United States

    29 publications · 8.8K citations

    25

    h-index

  5. AS
    Andrea Saltelli

    Joint Research Centre, Italy

    30 publications · 12.3K citations

    24

    h-index

1–5 of 30.1K

Venues

  1. Water Resources Research

    148 publications · 16.5K citations

    67

    h-index

  2. Reliability Engineering & System Safety

    190 publications · 19.5K citations

    65

    h-index

  3. Journal of Hydrology

    112 publications · 11.1K citations

    52

    h-index

  4. IEEE Transactions on Automatic Control

    100 publications · 9.5K citations

    47

    h-index

  5. IEEE Transactions on Power Systems

    71 publications · 6.3K citations

    44

    h-index

1–5