Input Uncertainty Analysis

Input Uncertainty Analysis is a systematic method within sensitivity analysis that identifies, quantifies, and characterizes the uncertainty in model inputs to assess their individual and combined influences on the variability of model outputs.

276

Publications

15.3K

Citations

904

Authors

408

Institutions

Publications per year

2017–2026

107

Authors

904

  1. BL
    Barry L. Nelson

    Northwestern University, United States

    13 publications · 509 citations

    12

    h-index

  2. WX
    Wei Xie

    Rensselaer Polytechnic Institute, United States

    7 publications · 247 citations

    7

    h-index

  3. RR
    Russell R. Barton

    Pennsylvania State University, United States

    7 publications · 283 citations

    7

    h-index

  4. HL
    Henry Lam

    Columbia University, United States

    6 publications · 132 citations

    6

    h-index

  5. ES
    Eunhye Song

    Northwestern University, United States

    5 publications · 237 citations

    5

    h-index

1–5 of 904

Venues

  1. Water Resources Research

    11 publications · 1.4K citations

    11

    h-index

  2. Winter Simulation Conference

    Conference · 10 publications · 195 citations

    10

    h-index

  3. Nuclear Technology

    6 publications · 110 citations

    6

    h-index

  4. Reliability Engineering & System Safety

    5 publications · 168 citations

    5

    h-index

  5. Risk Analysis

    5 publications · 767 citations

    5

    h-index

1–5