Risk Scoring Models

Risk Scoring Models is a quantitative or semi-quantitative analytical framework used in risk assessment that distinguishes itself by assigning numerical values or scores to identified risks based on their likelihood and impact to facilitate systematic risk prioritization.

105

Publications

8K

Citations

523

Authors

288

Institutions

Publications per year

2017–2026

33

Variants

Risk Scoring Systems

Authors

523

  1. RL
    Robyn L. McClelland

    University of Washington, United States

    2 publications · 64 citations

    2

    h-index

  2. YY
    Yacov Y. Haimes

    University of Virginia, United States

    2 publications · 905 citations

    2

    h-index

  3. ST
    Shin Ta Liu

    Lynx (Italy), Italy

    2 publications · 331 citations

    2

    h-index

  4. WK
    Wolfgang Köenig

    Universität Ulm, Germany

    2 publications · 320 citations

    2

    h-index

  5. RO
    Rumana Omar

    University College London, United Kingdom

    1 publications · 143 citations

    1

    h-index

1–5 of 523

Venues

  1. Safety Science

    5 publications · 354 citations

    5

    h-index

  2. 3

    h-index

  3. Annals of Operations Research

    2 publications · 80 citations

    2

    h-index

  4. Journal of Clinical Epidemiology

    2 publications · 250 citations

    2

    h-index

  5. 2

    h-index

1–5