Probabilistic Consequence Analysis

Probabilistic Consequence Analysis is a methodological framework within consequence analysis that quantifies the likelihood and impact of potential outcomes under uncertainty by integrating probabilistic models to distinguish it from deterministic approaches.

24

Publications

825

Citations

80

Authors

44

Institutions

Publications per year

2017–2026

11

Authors

80

  1. HH
    Hamzah Hussin

    Universiti Malaysia Kelantan, Malaysia

    1 publications · 57 citations

    1

    h-index

  2. HM
    H. M tivier

    Japan External Trade Organization, Japan

    1 publications · 24 citations

    1

    h-index

  3. LK
    Linda K. Nozick

    Cornell University, United States

    1 publications · 13 citations

    1

    h-index

  4. SW
    S. Woliński

    University of Florida, United States

    1 publications · 16 citations

    1

    h-index

  5. AS
    Ahmad Soltanzadeh

    Qom University of Medical Science and Health Services, Iran

    1 publications · 43 citations

    1

    h-index

1–5 of 80

Venues

  1. 4

    h-index

  2. Earthquake Spectra

    2 publications · 120 citations

    2

    h-index

  3. Nuclear Engineering and Design

    1 publications · 18 citations

    1

    h-index

  4. Computers & Industrial Engineering

    1 publications · 15 citations

    1

    h-index

  5. Natural Hazards

    1 publications · 57 citations

    1

    h-index

1–5