45 citations as recorded by crossref.

1. Systematic Mapping of Global Research on Disaster Damage Estimation for Buildings: A Machine Learning-Aided Study D. Rajapaksha et al. 10.3390/buildings14061864
2. Review article: Natural hazard risk assessments at the global scale P. Ward et al. 10.5194/nhess-20-1069-2020
3. Economic implications of autonomous adaptation of firms and households in a resource-rich coastal city A. Taberna et al. 10.1038/s41598-023-46318-2
4. Emerging strategies for addressing flood-damage modeling issues: A review S. Redondo-Tilano et al. 10.1016/j.ijdrr.2024.105058
5. Determining Vulnerability Indicators of Buildings for Sea-Level Rise and Floods in Urban Coastal Areas İ. Çal & A. Ciravoğlu 10.3390/su17010027
6. Terrestrial and airborne laser scanning and 2-D modelling for 3-D flood hazard maps in urban areas: new opportunities and perspectives P. Costabile et al. 10.1016/j.envsoft.2020.104889
7. The Potential Role of News Media to Construct a Machine Learning Based Damage Mapping Framework G. Okada et al. 10.3390/rs13071401
8. Physical Vulnerability and Local Responses to Flood Damage in Peri-Urban Areas of Dhaka, Bangladesh M. Fatemi et al. 10.3390/su12103957
9. Enhancing urban resilience through machine learning-supported flood risk assessment: integrating flood susceptibility with building function vulnerability X. Qin et al. 10.1038/s42949-025-00208-w
10. Measuring rising heat and flood risk along the belt-and-road initiative J. Liang et al. 10.1007/s44274-024-00148-9
11. Quantifying hazard resilience by modeling infrastructure recovery as a resource-constrained project scheduling problem T. Johnson et al. 10.5194/nhess-24-2285-2024
12. Building-scale flood loss estimation through vulnerability pattern characterization: application to an urban flood in Milan, Italy A. Taramelli et al. 10.5194/nhess-22-3543-2022
13. Developing assessment flow for damage estimation of mud housing typology through a case study against coastal floods N. Aishwarya et al. 10.1038/s41598-023-33468-6
14. Integrating agent-based approaches with flood risk models: A review and perspective J. Aerts 10.1016/j.wasec.2020.100076
15. Development of damage curves for buildings near La Rochelle during storm Xynthia based on insurance claims and hydrodynamic simulations M. Diaz Loaiza et al. 10.5194/nhess-22-345-2022
16. Developing flood vulnerability curve for rice crop using remote sensing and hydrodynamic modeling V. Hendrawan & D. Komori 10.1016/j.ijdrr.2021.102058
17. Development of flood damage assessment method for residential areas considering various house types for Bago Region of Myanmar B. Shrestha et al. 10.1016/j.ijdrr.2021.102602
18. Validated probabilistic approach to estimate flood direct impacts on the population and assets on European coastlines E. Duo et al. 10.5194/nhess-25-13-2025
19. Relationship between residential house damage and flood characteristics: A case study in the Teesta River Basin, Bangladesh S. Haque et al. 10.1016/j.ijdrr.2023.103901
20. 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
21. Spatial econometric modeling of socioeconomic vulnerability and flood impact: Towards a risk-layering approach in southern Malawi C. Ferman Carral et al. 10.1016/j.ijdrr.2025.105433
22. Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves B. Monteleone et al. 10.1007/s11069-022-05791-0
23. Quantifying the potential benefits of risk-mitigation strategies on future flood losses in Kathmandu Valley, Nepal C. Mesta et al. 10.5194/nhess-23-711-2023
24. The Asynergies of Structural Disaster Risk Reduction Measures: Comparing Floods and Earthquakes M. de Ruiter et al. 10.1029/2020EF001531
25. Who Is Vulnerable and Where Do They Live? Case Study of Three Districts in the Uttarakhand Region of India Himalaya C. Grainger et al. 10.1659/MRD-JOURNAL-D-19-00041.1
26. A Method for Assessing Flood Vulnerability Based on Vulnerability Curves and Online Data of Residential Buildings—A Case Study of Shanghai Z. Li et al. 10.3390/w14182840
27. Framework for urban flood risk assessment – a hydrological modelling approach: the case of Nilambur, Kerala A. John et al. 10.1080/13563475.2024.2427402
28. Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning – a case study of the 2019 floods in southern Malawi L. Wouters et al. 10.5194/nhess-21-3199-2021
29. Shared hazards, unequal outcomes: income-driven inequities in disaster risk J. Choong et al. 10.1038/s44304-025-00087-2
30. Characterizing uncertainty of general building stock exposure data C. Huyck et al. 10.1177/87552930221079852
31. Damage Curves Derived from Hurricane Ike in the West of Galveston Bay Based on Insurance Claims and Hydrodynamic Simulations C. Xu et al. 10.1007/s13753-023-00524-8
32. Improved assessment of rainfall-induced railway infrastructure risk in China using empirical data W. Zhu et al. 10.1007/s11069-022-05605-3
33. Using global datasets to estimate flood exposure at the city scale: an evaluation in Addis Ababa A. Carr et al. 10.3389/fenvs.2024.1330295
34. Assessment of Corporate Financial Flood Risks Due to Property Damage and Business Interruption Loss M. Abe & P. Adriaens 10.1007/s13753-025-00638-1
35. Long‐term flood exposure assessment using satellite‐based land use change detection and inundation simulation: A 30‐year case study of the Bangkok Metropolitan Region S. Darnkachatarn & Y. Kajitani 10.1111/jfr3.12997
36. Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al. 10.1111/jfr3.12736
37. Flood risk assessment and participative process in the data-scarce Metuge district of Mozambique: An exportable approach S. Rrokaj et al. 10.1016/j.ijdrr.2024.105163
38. A generic physical vulnerability model for floods: review and concept for data-scarce regions M. Malgwi et al. 10.5194/nhess-20-2067-2020
39. Expert-based versus data-driven flood damage models: A comparative evaluation for data-scarce regions M. Malgwi et al. 10.1016/j.ijdrr.2021.102148
40. The tale of three floods: From extreme events and cascades of highs to anthropogenic floods A. Alborzi et al. 10.1016/j.wace.2022.100495
41. Does safer housing save lives? An analysis of typhoon mortality and dwellings in the Philippines S. Healey et al. 10.1016/j.ijdrr.2022.103433
42. Physical vulnerability to dynamic flooding: Vulnerability curves and vulnerability indices M. Papathoma-Köhle et al. 10.1016/j.jhydrol.2022.127501
43. Flood Protection and Land Value Creation – Not all Resilience Investments Are Created Equal P. Avner et al. 10.1007/s41885-022-00117-7
44. Integrated Flood Impact and Vulnerability Assessment Using a Multi-Sensor Earth Observation Mission with the Perspective of an Operational Service in Lombardy, Italy M. Righini et al. 10.3390/land13020140
45. Neglecting uncertainties biases house-elevation decisions to manage riverine flood risks M. Zarekarizi et al. 10.1038/s41467-020-19188-9