40 citations as recorded by crossref.

1. The determination of flood damage curve in areas lacking disaster data based on the optimization principle of variation coefficient and beta distribution Z. Wu et al. 10.1016/j.scitotenv.2020.142277
2. Development and assessment of uni- and multivariable flood loss models for Emilia-Romagna (Italy) F. Carisi et al. 10.5194/nhess-18-2057-2018
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. Integrated modeling of urban mobility, flood inundation, and sewer hydrodynamics processes to support resilience assessment of urban drainage systems L. Wang et al. 10.2166/wst.2024.212
35. Are OpenStreetMap building data useful for flood vulnerability modelling? M. Cerri et al. 10.5194/nhess-21-643-2021
36. 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
37. 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
38. A model taxonomy for flood fragility and vulnerability assessment of buildings C. Galasso et al. 10.1016/j.ijdrr.2020.101985
39. Model parameter influence on probabilistic flood risk analysis R. Paulik et al. 10.1016/j.ijdrr.2023.104215
40. Flood risk (d)evolution: Disentangling key drivers of flood risk change with a retro-model experiment A. Zischg et al. 10.1016/j.scitotenv.2018.05.056