Catastrophe Risk Classification

Catastrophe Risk Classification is a risk classification framework that specifically categorizes low-probability, high-impact events according to their potential for widespread harm to systems, societies, or environments, distinguishing it from broader risk classification approaches by its focus on extreme-tail consequences and systemic disruption.

5

Publications

389

Citations

9

Authors

4

Institutions

Publications per year

2017–2026

3

Authors

9

  1. MM
    Mohamed M. Mostafa

    Gulf University for Science & Technology, Kuwait

    1 publications · 25 citations

    1

    h-index

  2. MD
    Max Daniel

    University of Oxford, United Kingdom

    1 publications · 53 citations

    1

    h-index

  3. AS
    Anders Sandberg

    University of Oxford, United Kingdom

    1 publications · 53 citations

    1

    h-index

  4. AT
    Alexey Turchin

    Santa Clara University, United States

    1 publications · 109 citations

    1

    h-index

  5. DD
    David Denkenberger

    University of Alaska Fairbanks, United States

    1 publications · 109 citations

    1

    h-index

1–5 of 9

Venues

  1. AI & Society

    1 publications · 109 citations

    1

    h-index

  2. Trends in Neurosciences

    1 publications · 171 citations

    1

    h-index

  3. Chaos Solitons & Fractals

    1 publications · 25 citations

    1

    h-index

  4. Systems Research and Behavioral Science

    1 publications · 31 citations

    1

    h-index

  5. Global Policy

    1 publications · 53 citations

    1

    h-index

1–5