56 citations as recorded by crossref.

1. Development of an empirical flood fragility curve for levee failure and its application in probabilistic flood risk assessment: A case study of Citeureup Village, Indonesia M. Farid et al. https://doi.org/10.1016/j.ijdrr.2025.105793
2. Population exposure predicts flood losses in Sweden K. Karagiorgos et al. https://doi.org/10.1038/s44304-026-00194-8
3. 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 https://doi.org/10.1080/1573062X.2022.2099292
4. A Systematic Review of Flood Damage Assessment: Insight for the Data-Scarce Regions N. Romali et al. https://doi.org/10.1007/s11269-025-04265-9
5. A new methodology for probabilistic flood displacement risk assessment: the case of Fiji and Vanuatu L. Rossi et al. https://doi.org/10.3389/fclim.2024.1345258
6. Combining environmental-socio-economic data with volunteer geographic information for mapping flood risk zones in Zhengzhou, Henan Province, China H. Luo et al. https://doi.org/10.1016/j.ijdrr.2024.104679
7. A scenario-based analysis of wetlands as nature-based solutions for flood risk mitigation using the TELEMAC-2D model K. Enu et al. https://doi.org/10.1016/j.nbsj.2025.100236
8. Exploring cascade propagation mechanisms of flood risk in dynamic heterogeneous infrastructure networks: A systematic framework with a heterogeneity perspective J. Li et al. https://doi.org/10.1016/j.ress.2026.112420
9. Review article: Potential of nature-based solutions to mitigate hydro-meteorological risks in sub-Saharan Africa K. Enu et al. https://doi.org/10.5194/nhess-23-481-2023
10. Global population datasets overestimate flood exposure in Sweden K. Karagiorgos et al. https://doi.org/10.1038/s41598-024-71330-5
11. Challenges and best practices during the development of FEMA's National Risk Index K. Karagiorgos & T. Grahn https://doi.org/10.1016/j.ijdrr.2025.105683
12. Risk Assessment of Flash Flood to Buildings Using an Indicator-Based Methodology: A Case Study of Mountainous Rural Settlements in Southwest China Y. Zhen et al. https://doi.org/10.3389/fenvs.2022.931029
13. Assessment of vulnerability and resilience of smallholder farming households to flood risks: Insights from the Southern Punjab region of Pakistan M. Raza & A. Hatab https://doi.org/10.1016/j.ijdrr.2025.105600
14. Why does institutional vulnerability matter? Perceptions of community members from the 2018 Montecito debris flows in California E. Goto et al. https://doi.org/10.1016/j.ijdrr.2025.105185
15. Emerging strategies for addressing flood-damage modeling issues: A review S. Redondo-Tilano et al. https://doi.org/10.1016/j.ijdrr.2024.105058
16. Livestock vulnerability to flooding T. Lazzarin & A. Defina https://doi.org/10.1016/j.jhydrol.2024.132613
17. 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. https://doi.org/10.1016/j.cscm.2024.e03004
18. A synergistic approach towards understanding flood risks over coastal multi-hazard environments: Appraisal of bivariate flood risk mapping through flood hazard, and socio-economic-cum-physical vulnerability dimensions D. Thakur & M. Mohanty https://doi.org/10.1016/j.scitotenv.2023.166423
19. Indicator-based approach for the assessment of intrinsic physical vulnerability of the built environment to hydro-meteorological hazards: Review of indicators and example of parameters selection for a sample area R. Agliata et al. https://doi.org/10.1016/j.ijdrr.2021.102199
20. Current and Future Trends for Resilient Inland Waterway Transportation Systems during Flood Disruptions S. Ahmadi et al. https://doi.org/10.1061/JCEMD4.COENG-13721
21. Indicators of riverbank Erosion vulnerability assessment: A systematic literature review for future research N. Sultana & S. Paul https://doi.org/10.1016/j.hydres.2024.06.002
22. Pathways to enhanced microscale coastal flood risk assessment amid changing climate A. Kaur et al. https://doi.org/10.1007/s11069-025-07476-w
23. Nonlinear Simulation and Vulnerability Analysis of Masonry Structures Impacted by Flash Floods Q. Fang et al. https://doi.org/10.1155/2021/6682234
24. Does urban green infrastructure lead to equity issues for flood vulnerable areas? A case study in an urbanized polder area K. Zhou et al. https://doi.org/10.1016/j.cities.2025.105941
25. Assessing dynamic congestion risks of flood-disrupted transportation network systems through time-variant topological analysis and traffic demand dynamics X. Lin et al. https://doi.org/10.1016/j.aei.2024.102672
26. A Methodology for Vulnerability Assessment of Cultural Heritage in Extreme Climate Changes R. Cacciotti et al. https://doi.org/10.1007/s13753-024-00564-8
27. Methodological approach for mapping the flood physical vulnerability index with geographical open-source data: an example in a small-middle city (Ponferrada, Spain) L. Tascón-González et al. https://doi.org/10.1007/s11069-023-06370-7
28. A data-mining approach towards damage modelling for El Niño events in Peru F. Brill et al. https://doi.org/10.1080/19475705.2020.1818636
29. Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al. https://doi.org/10.1111/jfr3.12736
30. 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. https://doi.org/10.5194/nhess-21-3199-2021
31. Rapid Probabilistic Inundation Mapping Using Local Thresholds and Sentinel-1 SAR Data on Google Earth Engine J. Liang et al. https://doi.org/10.3390/rs17101747
32. Public Narrative Analysis for Disaster Resilience Building: Evidence from Morocco Earthquake M. Yeganegi & N. Komendantova https://doi.org/10.3390/geohazards7010024
33. A systematic review with bibliometric analysis of different approaches and methodologies for undertaking flood vulnerability research T. Nguyen et al. https://doi.org/10.1007/s40899-023-00865-8
34. Preface: Estimating and predicting natural hazards and vulnerabilities in the Himalayan region W. Schwanghart et al. https://doi.org/10.5194/nhess-24-3291-2024
35. GIS-based multi-criteria analysis for flood hazard areas mapping of M’zab wadi basin (Ghardaia, North-Central Algeria) A. Hamlat et al. https://doi.org/10.1080/15324982.2023.2235315
36. A general methodological framework for hazard assessment in remote mountain areas combining geomorphological mapping with UAV survey E. Garova et al. https://doi.org/10.1007/s11629-024-9096-8
37. 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. https://doi.org/10.3390/w14182840
38. Building-scale flood loss estimation through vulnerability pattern characterization: application to an urban flood in Milan, Italy A. Taramelli et al. https://doi.org/10.5194/nhess-22-3543-2022
39. Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods Z. Yang et al. https://doi.org/10.3390/rs14143313
40. Physical vulnerability of buildings to flooding in Lilongwe City, Malawi M. Manda & C. Msasa https://doi.org/10.14324/111.444/ucloe.3216
41. Physical vulnerability assessment to flash floods using an indicator‐based methodology based on building properties and flow parameters M. Leal et al. https://doi.org/10.1111/jfr3.12712
42. Improving pluvial flood simulations with a multi-source digital elevation model super-resolution method Y. Zhu et al. https://doi.org/10.5194/nhess-25-2271-2025
43. Vulnerability Assessment in the Context of Earthquake Resilience: Case Study of Bayraklı, İzmir, Turkey H. Aydın & D. Gerçek https://doi.org/10.21324/dacd.1664234
44. Systematic Mapping of Global Research on Disaster Damage Estimation for Buildings: A Machine Learning-Aided Study D. Rajapaksha et al. https://doi.org/10.3390/buildings14061864
45. A novel clay shrink-swell buildings damage model: From unstructured insurance data to the creation of buildings database, and the proposition of damage severity scale N. Mzungu et al. https://doi.org/10.1016/j.ijdrr.2025.105636
46. Hazard Analysis and Vulnerability Assessment of Cultural Landscapes Exposed to Climate Change-Related Extreme Events: A Case Study of Wachau (Austria) L. Canesi et al. https://doi.org/10.3390/heritage7040091
47. Identifying physical vulnerability drivers increasing in exposed structures to floods Y. Hernández-Atencia et al. https://doi.org/10.1016/j.pdisas.2025.100512
48. Global Flood Vulnerability Model: Building-Level Assessment Using Multi-Source Remote Sensing S. Olagunju et al. https://doi.org/10.3390/rs18091425
49. 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. https://doi.org/10.3390/land13020140
50. Estimation of cascading hydroclimatic hazard impacts on supply systems and associated economic shocks M. Vieira Passos et al. https://doi.org/10.1038/s44304-025-00129-9
51. Flood Impacts on Civil Infrastructure Systems: A Comprehensive Review of Impacts, Modeling Tools, Emerging Technologies, and Mitigation Strategies R. Abegaz et al. https://doi.org/10.1061/NHREFO.NHENG-2477
52. Water Resources Management in the Piura Region: Territorial Assessment of Dynamic Water Vulnerability E. Sánchez Ruiz et al. https://doi.org/10.3390/w18030362
53. Vulnerability patterns of road network to extreme floods based on accessibility measures T. Papilloud & M. Keiler https://doi.org/10.1016/j.trd.2021.103045
54. Physical vulnerability to dynamic flooding: Vulnerability curves and vulnerability indices M. Papathoma-Köhle et al. https://doi.org/10.1016/j.jhydrol.2022.127501
55. Evaluating topography-based approaches for fast floodplain mapping in data-scarce complex-terrain regions: Findings from a Himalayan basin P. Dhote et al. https://doi.org/10.1016/j.jhydrol.2023.129309
56. Expert-based versus data-driven flood damage models: A comparative evaluation for data-scarce regions M. Malgwi et al. https://doi.org/10.1016/j.ijdrr.2021.102148