43 citations as recorded by crossref.

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5. A Bayesian network approach for multi-sectoral flood damage assessment and multi-scenario analysis R. Harris et al. 10.1016/j.crm.2022.100410
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7. Multivariate Flood Loss Estimation of the 2018 Bago Flood in Myanmar W. Zin et al. 10.20965/jdr.2020.p0300
8. Structural, dynamic and anthropic conditions that trigger the emergence of the levee effect: insight from a simplified risk-based framework C. D’Angelo et al. 10.1080/02626667.2020.1729985
9. Analysis of rainfall extremes in the Ngong River Basin of Kenya: Towards integrated urban flood risk management B. Juma et al. 10.1016/j.pce.2020.102929
10. 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
11. A Revised Approach to Flood Damage Estimation in Flood Risk Maps and Flood Risk Management Plans, Poland I. Godyń 10.3390/w13192713
12. Towards an operationalisation of nature-based solutions for natural hazards P. Kumar et al. 10.1016/j.scitotenv.2020.138855
13. Flood Depth‒Damage Curves for Spanish Urban Areas E. Martínez-Gomariz et al. 10.3390/su12072666
14. What Will the Weather Do? Forecasting Flood Losses Based on Oscillation Indices G. Guimarães Nobre et al. 10.1029/2019EF001450
15. Hierarchical Bayesian Approach for Modeling Spatiotemporal Variability in Flood Damage Processes N. Sairam et al. 10.1029/2019WR025068
16. Flood vulnerability and risk assessment of urban traditional buildings in a heritage district of Kuala Lumpur, Malaysia D. D'Ayala et al. 10.5194/nhess-20-2221-2020
17. Comparison of two modelling strategies for 2D large-scale flood simulations S. Dazzi et al. 10.1016/j.envsoft.2021.105225
18. Testing empirical and synthetic flood damage models: the case of Italy M. Amadio et al. 10.5194/nhess-19-661-2019
19. The object-specific flood damage database HOWAS 21 P. Kellermann et al. 10.5194/nhess-20-2503-2020
20. The construction of flood loss ratio function in cities lacking loss data based on dynamic proportional substitution and hierarchical Bayesian model H. Lv et al. 10.1016/j.jhydrol.2020.125797
21. Multi-risk assessment in a historical city C. Arrighi et al. 10.1007/s11069-021-05125-6
22. Levee Breaching: A New Extension to the LISFLOOD-FP Model I. Shustikova et al. 10.3390/w12040942
23. Exposure and vulnerability estimation for modelling flood losses to commercial assets in Europe D. Paprotny et al. 10.1016/j.scitotenv.2020.140011
24. Improvements and Operational Application of a Zero-Order Quick Assessment Model for Flood Damage: A Case Study in Italy L. Manselli et al. 10.3390/w14030373
25. Urban flood risk analysis of buildings using HEC-RAS 2D in climate change framework R. Madhuri et al. 10.2166/h2oj.2021.111
26. A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al. 10.1007/s11069-020-04413-x
27. Flood damage functions based on a single physics- and data-based impact parameter that jointly accounts for water depth and velocity T. Lazzarin et al. 10.1016/j.jhydrol.2022.127485
28. Assessment of direct economic losses of flood disasters based on spatial valuation of land use and quantification of vulnerabilities: a case study on the 2014 flood in Lishui city of China H. Zhang et al. 10.5194/nhess-21-3161-2021
29. 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
30. Invited perspectives: How machine learning will change flood risk and impact assessment D. Wagenaar et al. 10.5194/nhess-20-1149-2020
31. Quantifying Flood Vulnerability Reduction via Private Precaution N. Sairam et al. 10.1029/2018EF000994
32. Are OpenStreetMap building data useful for flood vulnerability modelling? M. Cerri et al. 10.5194/nhess-21-643-2021
33. Flood risk assessment of the European road network K. van Ginkel et al. 10.5194/nhess-21-1011-2021
34. Coupling Flood Propagation Modeling and Building Collapse in Flash Flood Studies L. Milanesi & M. Pilotti 10.1061/(ASCE)HY.1943-7900.0001941
35. Short communication: A model to predict flood loss in mountain areas S. Fuchs et al. 10.1016/j.envsoft.2019.03.026
36. Bayesian Data-Driven approach enhances synthetic flood loss models N. Sairam et al. 10.1016/j.envsoft.2020.104798
37. Estimating exposure of residential assets to natural hazards in Europe using open data D. Paprotny et al. 10.5194/nhess-20-323-2020
38. A Zero-Order Flood Damage Model for Regional-Scale Quick Assessments A. Pogliani et al. 10.3390/w13091292
39. Comparing 2D capabilities of HEC-RAS and LISFLOOD-FP on complex topography I. Shustikova et al. 10.1080/02626667.2019.1671982
40. Construction of flood loss function for cities lacking disaster data based on three-dimensional (object-function-array) data processing H. Lv et al. 10.1016/j.scitotenv.2021.145649
41. Probabilistic Quantification in the Analysis of Flood Risks in Cross-Border Areas of Poland and Germany Ł. Kuźmiński et al. 10.3390/en13226020
42. Probabilistic Flood Loss Models for Companies L. Schoppa et al. 10.1029/2020WR027649
43. Empirical flash flood vulnerability functions for residential buildings C. Arrighi et al. 10.1007/s42452-020-2696-1