Empirical Damage Models
Empirical Damage Models is a type of predictive framework in blast damage assessment that derives damage predictions from observed data and experimental outcomes rather than theoretical or first-principles-based simulations.
51
Publications
2.8K
Citations
145
Authors
81
Institutions
Publications per year
2017–2026
25
Parents
51
New insights into US flood vulnerability revealed from flood insurance big data
Oliver Wing, Nicholas Pinter, Paul Bates et al. · Nature Communications · 2020 · 234 citations · Full text
How useful are complex flood damage models?
Kai Schröter, Heidi Kreibich, Kristin Vogel et al. · Water Resources Research · 2014 · 191 citations · Full text
Estimating the probability of mountain pine beetle red-attack damage
Michael A. Wulder, Joanne C. White, Barbara Bentz et al. · Remote Sensing of Environment · 2006 · 161 citations
Life Sciences, Ecology, Entomology +12
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81
Northeast Forestry University
Harbin, China
4 h-index
8 publications
212 citations

University of Calgary
Calgary, Canada
4 h-index
6 publications
141 citations

University of Naples Federico II
Naples, Italy
4 h-index
14 publications
408 citations

Heilongjiang University
Harbin, China
3 h-index
6 publications
196 citations
China Earthquake Administration
Beijing, China
3 h-index
3 publications
94 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
7 publications
442 citations

Beijing University of Civil Engineering and Architecture
Beijing, China
2 h-index
2 publications
37 citations

University of Freiburg
Freiburg im Breisgau, Germany
2 h-index
5 publications
143 citations
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3 publications · 124 citations
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2 publications · 53 citations
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2 publications · 37 citations
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2 publications · 65 citations
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2 publications · 76 citations
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