Loss Data Management

Loss Data Management is a systematic framework within insurance data management that specifically governs the collection, validation, storage, analysis, and reporting of historical loss data to support risk assessment, pricing, and regulatory compliance in actuarial and insurance contexts.

18

Publications

569

Citations

57

Authors

30

Institutions

Publications per year

2017–2026

4

Authors

57

  1. DG
    DE Groeve Tom

    2 publications · 52 citations

    2

    h-index

  2. CC
    Corbane Christina

    2 publications · 52 citations

    2

    h-index

  3. JG
    J. Geller

    Brookhaven National Laboratory, United States

    1 publications · 11 citations

    1

    h-index

  4. CP
    Christopher P. Holland

    University of Manchester, United Kingdom

    1 publications · 10 citations

    1

    h-index

  5. KM
    Kevin M. Simmons

    Austin College, United States

    1 publications · 53 citations

    1

    h-index

1–5 of 57

Venues

  1. Natural hazards and earth system sciences

    2 publications · 227 citations

    2

    h-index

  2. Joint Research Centre (European Commission)

    Repository · 2 publications · 52 citations

    2

    h-index

  3. SSRN Electronic Journal

    Repository · 1 publications · 16 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Flood Risk Management

    1 publications · 38 citations

    1

    h-index

1–5