Probabilistic Risk Prioritization

Probabilistic Risk Prioritization is a risk prioritization method that employs probabilistic models to quantify and rank risks based on their likelihood and potential impact, distinguishing itself from qualitative or deterministic approaches by incorporating statistical uncertainty and stochastic analysis.

26

Publications

1.4K

Citations

105

Authors

47

Institutions

Publications per year

2017–2026

10

Authors

105

  1. PS
    Paul S. Fischbeck

    Carnegie Mellon University, United States

    2 publications · 88 citations

    2

    h-index

  2. EP
    Elisabeth Paté‐Cornell

    Stanford University, United States

    2 publications · 87 citations

    2

    h-index

  3. ST
    Sampson Tettey

    Water Resources Commission of Ghana, Ghana

    1 publications · 156 citations

    1

    h-index

  4. MW
    Ming Wang

    Beijing Normal University, China

    1 publications · 20 citations

    1

    h-index

  5. SB
    Stefan Brandmaier

    Helmholtz Zentrum München, Germany

    1 publications · 11 citations

    1

    h-index

1–5 of 105

Venues

  1. Nuclear Technology

    3 publications · 102 citations

    3

    h-index

  2. Reliability Engineering & System Safety

    2 publications · 67 citations

    2

    h-index

  3. 2

    h-index

  4. Risk Analysis

    2 publications · 92 citations

    2

    h-index

  5. Process Safety and Environmental Protection

    1 publications · 63 citations

    1

    h-index

1–5