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
Parents
48
HAZUS-MH Hurricane Model Methodology. II: Damage and Loss Estimation
Peter J. Vickery, Peter F. Skerlj, Jason Lin et al. · Natural Hazards Review · 2006 · 312 citations
Classifying earthquake damage to buildings using machine learning
Sujith Mangalathu, Han Sun, Chukwuebuka C. Nweke et al. · Earthquake Spectra · 2019 · 292 citations
Naturally Negative: The Growth Effects of Natural Disasters
Gabriel Felbermayr · SSRN Electronic Journal · 2013 · 107 citations · Full text
1–5 of 48
195
2
h-index
Peter the Great St. Petersburg Polytechnic University, Russia
2 publications · 23 citations
2
h-index
Peter the Great St. Petersburg Polytechnic University, Russia
2 publications · 23 citations
2
h-index
2
h-index
1
h-index
1–5 of 195
99
ETH Zurich
Zurich, Switzerland
3 h-index
6 publications
234 citations

University of British Columbia
Vancouver, Canada
3 h-index
7 publications
389 citations
National Research Council
Rome, Italy
2 h-index
4 publications
74 citations
University College London
London, United Kingdom
2 h-index
4 publications
178 citations

Peoples' Friendship University of Russia
Moscow, Russia
2 h-index
5 publications
57 citations

Peter the Great St. Petersburg Polytechnic University
Saint Petersburg, Russia
2 h-index
5 publications
57 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
6 publications
951 citations
University of Wisconsin–Madison
Madison, United States
1 h-index
1 publications
32 citations
1–8 of 99
4 publications · 447 citations
4
h-index
2 publications · 582 citations
2
h-index
2 publications · 29 citations
2
h-index
1 publications · 19 citations
1
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1 publications · 76 citations
1
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