Emerging Risk Detection

Emerging Risk Detection is a systematic risk identification methodology that specifically enables the early recognition and assessment of novel, previously unanticipated risks by distinguishing them from established risk categories through their emergent nature, weak signals, and evolving uncertainty.

7

Publications

276

Citations

16

Authors

4

Institutions

Publications per year

2017–2026

3

Authors

16

  1. KH
    Kathleen Hanley

    New York University, United States

    2 publications · 175 citations

    2

    h-index

  2. KG
    Kenisha Garnett

    Cranfield University, United Kingdom

    1 publications · 36 citations

    1

    h-index

  3. CM
    Chabane Mazri

    Institut national de l'environnement industriel et des risques, France

    1 publications · 12 citations

    1

    h-index

  4. GH
    Gerard Hoberg

    University of Southern California, United States

    1 publications · 165 citations

    1

    h-index

  5. WR
    Winfried R. Leeman

    Netherlands Organisation for Applied Scientific Research, Netherlands

    1 publications · 19 citations

    1

    h-index

1–5 of 16

Venues

  1. EFSA Journal

    2 publications · 48 citations

    2

    h-index

  2. Infoscience (Ecole Polytechnique Fédérale de Lausanne)

    Repository · 1 publications · 12 citations

    1

    h-index

  3. EFSA Supporting Publications

    1 publications · 19 citations

    1

    h-index

  4. SSRN Electronic Journal

    Repository · 1 publications · 10 citations

    1

    h-index

  5. Review of Financial Studies

    1 publications · 165 citations

    1

    h-index

1–5