39 citations as recorded by crossref.

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3. Seamless Estimation of Hydrometeorological Risk Across Spatial Scales T. Sieg et al. 10.1029/2018EF001122
4. Developing a multivariable lookup table function for estimating flood damages of rice crop in Vietnam using a secondary research approach N. Nguyen et al. 10.1016/j.ijdrr.2021.102208
5. Potential Benefits in Remapping the Special Flood Hazard Area: Evidence from the U.S. Housing Market A. Pollack et al. 10.1016/j.jhe.2023.101956
6. Quantifying Flood Vulnerability Reduction via Private Precaution N. Sairam et al. 10.1029/2018EF000994
7. Variable-resolution building exposure modelling for earthquake and tsunami scenario-based risk assessment: an application case in Lima, Peru J. Gomez-Zapata et al. 10.5194/nhess-21-3599-2021
8. Capturing Regional Differences in Flood Vulnerability Improves Flood Loss Estimation N. Sairam et al. 10.3389/frwa.2022.817625
9. How does the selection of wave hindcast datasets and statistical models influence the probabilistic design of offshore scour protections? R. Figueiredo et al. 10.1016/j.oceaneng.2022.113123
10. Probabilistic Flood Loss Models for Companies L. Schoppa et al. 10.1029/2020WR027649
11. Preface: Damage of natural hazards: assessment and mitigation H. Kreibich et al. 10.5194/nhess-19-551-2019
12. From Hazard to Consequences: Evaluation of Direct and Indirect Impacts of Flooding Along the Emilia-Romagna Coastline, Italy C. Armaroli et al. 10.3389/feart.2019.00203
13. A Consistent Approach for Probabilistic Residential Flood Loss Modeling in Europe S. Lüdtke et al. 10.1029/2019WR026213
14. Combining models to generate a consensus effective reproduction number R for the COVID-19 epidemic status in England H. Manley et al. 10.1017/S0950268824000347
15. A Comparison of Factors Driving Flood Losses in Households Affected by Different Flood Types G. Mohor et al. 10.1029/2019WR025943
16. The role of socio-economic and property variables in the establishment of flood depth-damage curve for the data-scarce area in Malaysia S. Sulong & N. Romali 10.1080/1573062X.2022.2099292
17. Residential flood loss estimated from Bayesian multilevel models G. Mohor et al. 10.5194/nhess-21-1599-2021
18. Are flood damage models converging to “reality”? Lessons learnt from a blind test D. Molinari et al. 10.5194/nhess-20-2997-2020
19. Flood risk assessment of cultural heritage at large spatial scales: Framework and application to mainland Portugal R. Figueiredo et al. 10.1016/j.culher.2019.11.007
20. Integrated assessment of short-term direct and indirect economic flood impacts including uncertainty quantification T. Sieg et al. 10.1371/journal.pone.0212932
21. A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al. 10.1007/s11069-020-04413-x
22. Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al. 10.1111/jfr3.12736
23. Index-based insurance to mitigate current and future extreme events financial losses for water utilities G. Gesualdo et al. 10.1016/j.ijdrr.2023.104218
24. Hierarchical Bayesian Approach for Modeling Spatiotemporal Variability in Flood Damage Processes N. Sairam et al. 10.1029/2019WR025068
25. Bayesian Data-Driven approach enhances synthetic flood loss models N. Sairam et al. 10.1016/j.envsoft.2020.104798
26. What drives uncertainty surrounding riverine flood risks? I. Hosseini-Shakib et al. 10.1016/j.jhydrol.2024.131055
27. INSYDE-BE: adaptation of the INSYDE model to the Walloon region (Belgium) A. Scorzini et al. 10.5194/nhess-22-1743-2022
28. Extreme Flood Disasters: Comprehensive Impact and Assessment Q. Yu et al. 10.3390/w14081211
29. Scalable flood inundation mapping using deep convolutional networks and traffic signage B. Alizadeh & A. Behzadan 10.1007/s43762-023-00090-1
30. Hindcast of pluvial, fluvial, and coastal flood damage in Houston, Texas during Hurricane Harvey (2017) using SFINCS A. Sebastian et al. 10.1007/s11069-021-04922-3
31. Testing empirical and synthetic flood damage models: the case of Italy M. Amadio et al. 10.5194/nhess-19-661-2019
32. A hazard-human coupled model (HazardCM) to assess city dynamic exposure to rainfall-triggered natural hazards Q. Dai et al. 10.1016/j.envsoft.2020.104684
33. Semi-probabilistic coastal flood impact analysis: From deterministic hazards to multi-damage model impacts E. Duo et al. 10.1016/j.envint.2020.105884
34. Are OpenStreetMap building data useful for flood vulnerability modelling? M. Cerri et al. 10.5194/nhess-21-643-2021
35. Innovative Vulnerability and Risk Assessment of Urban Areas against Flood Events: Prognosis of Structural Damage with a New Approach Considering Flow Velocity H. Maiwald et al. 10.3390/w14182793
36. Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality R. Moya Barbera et al. 10.1016/j.cscm.2024.e03004
37. A model taxonomy for flood fragility and vulnerability assessment of buildings C. Galasso et al. 10.1016/j.ijdrr.2020.101985
38. Model parameter influence on probabilistic flood risk analysis R. Paulik et al. 10.1016/j.ijdrr.2023.104215
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