Performance Sensitivity Analysis

Performance Sensitivity Analysis is a methodological framework within performance modeling that systematically evaluates the impact of variations in input parameters, environmental conditions, or structural assumptions on system performance metrics to identify critical factors influencing overall behavior.

294

Publications

12.6K

Citations

923

Authors

376

Institutions

Publications per year

2017–2026

56

Authors

923

  1. XC
    Xi‐Ren Cao

    Hong Kong University of Science and Technology, Hong Kong SAR China

    7 publications · 245 citations

    7

    h-index

  2. JL
    Jing-Jia Liou

    University of California, Santa Barbara, United States

    5 publications · 271 citations

    5

    h-index

  3. KC
    Kwang‐Ting Cheng

    University of California, Santa Barbara, United States

    5 publications · 271 citations

    5

    h-index

  4. JH
    J.C. Helton

    Arizona State University, United States

    4 publications · 485 citations

    4

    h-index

  5. RY
    Reuven Y. Rubinstein

    Technion – Israel Institute of Technology, Israel

    3 publications · 352 citations

    3

    h-index

1–5 of 923

Venues

  1. IEEE Transactions on Automatic Control

    13 publications · 781 citations

    12

    h-index

  2. SSRN Electronic Journal

    Repository · 9 publications · 298 citations

    9

    h-index

  3. Reliability Engineering & System Safety

    4 publications · 522 citations

    4

    h-index

  4. International Journal of Control

    4 publications · 71 citations

    4

    h-index

  5. Computers & Structures

    3 publications · 106 citations

    3

    h-index

1–5