Damage Forecasting

Damage Forecasting is a predictive analytical framework that estimates the magnitude and timing of potential harm or loss in a system prior to its occurrence, distinguished by its reliance on action thresholds to guide preemptive interventions.

48

Publications

2.4K

Citations

195

Authors

99

Institutions

Publications per year

2017–2026

30

Authors

195

  1. HV
    Henry V. Burton

    University of California, Los Angeles, United States

    2 publications · 317 citations

    2

    h-index

  2. EG
    E. G. Anisimov

    Peter the Great St. Petersburg Polytechnic University, Russia

    2 publications · 23 citations

    2

    h-index

  3. VA
    Vladimir Anisimov

    Peter the Great St. Petersburg Polytechnic University, Russia

    2 publications · 23 citations

    2

    h-index

  4. TS
    Tatiana Saurenko

    Peoples' Friendship University of Russia, Russia

    2 publications · 23 citations

    2

    h-index

  5. SL
    Shuo Liu

    University of British Columbia, Okanagan Campus, Canada

    1 publications · 38 citations

    1

    h-index

1–5 of 195

Venues

  1. Earthquake Spectra

    4 publications · 447 citations

    4

    h-index

  2. Natural Hazards Review

    2 publications · 582 citations

    2

    h-index

  3. Journal of Intelligent Manufacturing

    2 publications · 29 citations

    2

    h-index

  4. 1

    h-index

  5. Process Safety Progress

    1 publications · 76 citations

    1

    h-index

1–5