74 citations as recorded by crossref.

1. Temporal compounding increases economic impacts of floods in the southern U.S. cities Y. Yang et al. https://doi.org/10.1016/j.cities.2026.106978
2. Impacts of Flooding and Flood Preparedness on Subjective Well-Being: A Monetisation of the Tangible and Intangible Impacts P. Hudson et al. https://doi.org/10.1007/s10902-017-9916-4
3. A Comparison of Factors Driving Flood Losses in Households Affected by Different Flood Types G. Mohor et al. https://doi.org/10.1029/2019WR025943
4. Catastrophic risks and the pricing of catastrophe equity put options M. Arnone et al. https://doi.org/10.1007/s10287-021-00391-y
5. Determining the effects of the FEMA Community Rating System program on flood losses in the United States W. Highfield & S. Brody https://doi.org/10.1016/j.ijdrr.2017.01.013
6. Flash floods versus river floods – a comparison of psychological impacts and implications for precautionary behaviour J. Laudan et al. https://doi.org/10.5194/nhess-20-999-2020
7. A review of damage-reducing measures to manage fluvial flood risks in a changing climate H. Kreibich et al. https://doi.org/10.1007/s11027-014-9629-5
8. GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: A case of Topľa basin, Slovakia S. Ali et al. https://doi.org/10.1016/j.ecolind.2020.106620
9. Urban flood vulnerability assessment in a densely urbanized city using multi-factor analysis and machine learning algorithms F. Parvin et al. https://doi.org/10.1007/s00704-022-04068-7
10. A Consistent Approach for Probabilistic Residential Flood Loss Modeling in Europe S. Lüdtke et al. https://doi.org/10.1029/2019WR026213
11. Flood vulnerability assessment using GIS at Fetam watershed, upper Abbay basin, Ethiopia H. Desalegn & A. Mulu https://doi.org/10.1016/j.heliyon.2020.e05865
12. Climate shocks, household food security and welfare in Afghanistan H. Ahmadzai & O. Morrissey https://doi.org/10.1016/j.foodpol.2025.102910
13. Enhancing resilience: Understanding the impact of flood hazard and vulnerability on business interruption and losses T. Endendijk et al. https://doi.org/10.1016/j.wre.2024.100244
14. The Effectiveness of River Bank Normalization on Flood Risk Reduction I. Tunas et al. https://doi.org/10.1051/matecconf/201928001009
15. Following up on flood adaptation in Québec households four years later: A prospective exploratory study P. Valois et al. https://doi.org/10.1016/j.ijdrr.2023.103782
16. Inequality in flood insurance arrangements to finance flood recovery under climate change M. Tesselaar & W. Botzen https://doi.org/10.1016/j.crm.2026.100850
17. Capturing Regional Differences in Flood Vulnerability Improves Flood Loss Estimation N. Sairam et al. https://doi.org/10.3389/frwa.2022.817625
18. FinTech entrepreneurial ecosystem in India: Role of incubators and accelerators M. Kaur et al. https://doi.org/10.1016/j.gfj.2024.100933
19. Conceptualising risk communication barriers to household flood preparedness W. Forsyth et al. https://doi.org/10.1016/j.ugj.2023.02.001
20. Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis O. Rahmati et al. https://doi.org/10.1080/19475705.2015.1045043
21. Review article: Applicability and effectiveness of structural measures for subsidence (risk) reduction in urban areas N. Nappo & M. Korff https://doi.org/10.5194/nhess-25-1811-2025
22. Forest Fire Probability Mapping in Eastern Serbia: Logistic Regression versus Random Forest Method S. Milanović et al. https://doi.org/10.3390/f12010005
23. Economic Assessment of Mitigating Damage of Flood Events: Cost–Benefit Analysis of Flood-Proofing Commercial Buildings in Umbria, Italy W. Botzen et al. https://doi.org/10.1057/s41288-017-0065-0
24. Let's talk about flood risk – Evaluating a series of workshops on private flood protection A. Heidenreich et al. https://doi.org/10.1016/j.ijdrr.2020.101880
25. Individual flood risk adaptation in Germany: exploring the role of different types of flooding L. Dillenardt & A. Thieken https://doi.org/10.5194/nhess-25-3257-2025
26. Advanced Geospatial Analysis and Frequency Ratio Modelling for Flood Hazard Zonation in the Nagavali Basin, India R. Maarouf et al. https://doi.org/10.31127/tuje.1819040
27. Preface: Flood-risk analysis and integrated management P. Bubeck et al. https://doi.org/10.5194/nhess-16-1005-2016
28. Property-level adaptation to pluvial flooding: An analysis of individual behaviour and risk communication material L. Dillenardt et al. https://doi.org/10.1007/s11027-024-10148-y
29. Drivers of future fluvial flood risk change for residential buildings in Europe M. Steinhausen et al. https://doi.org/10.1016/j.gloenvcha.2022.102559
30. Insurance engagement in flood risk reduction – examples from household and business insurance in developed countries I. Seifert-Dähnn https://doi.org/10.5194/nhess-18-2409-2018
31. The zoning of flood risk potential in the Nekarod Cachment, Neka- Mazandaran M. Hosseinzadeh et al. https://doi.org/10.61186/jsaeh.10.1.23
32. Climate Justice Planning in Global South: Applying a Coupled Nature–Human Flood Risk Assessment Framework in a Case for Ho Chi Minh City, Vietnam C. Wu et al. https://doi.org/10.3390/w13152021
33. Spatial Assessment of Flood Susceptibility in Assam, India: A Comparative Study of Frequency Ratio and Shannon’s Entropy Models L. Chetia & S. Paul https://doi.org/10.1007/s12524-023-01798-7
34. Disaster risk reduction on stage: An empirical evaluation of community-based theatre as risk communication tool for coastal risk mitigation and ecosystem-based adaptation P. Bubeck et al. https://doi.org/10.1016/j.pdisas.2024.100323
35. Needed: A systems approach to improve flood risk mitigation through private precautionary measures M. Barendrecht et al. https://doi.org/10.1016/j.wasec.2020.100080
36. Urban pluvial flood adaptation: Results of a household survey across four German municipalities L. Dillenardt et al. https://doi.org/10.1111/jfr3.12748
37. Investigating the Risk Reduction Potential of Disaster Insurance Across Europe S. Surminski & P. Hudson https://doi.org/10.1057/s41288-016-0039-7
38. Federal incentives for community-level climate adaptation: an evaluation of FEMA’s Community Rating System J. Gourevitch & N. Pinter https://doi.org/10.1088/1748-9326/acbaae
39. Theoretical frameworks of risk perception and protective behaviour: an empirical comparison S. Rufat et al. https://doi.org/10.1007/s11069-025-07368-z
40. Flood Vulnerability Study of Pangkalpinang City, Bangka Belitung Archipelago Province . Guskarnali et al. https://doi.org/10.1088/1755-1315/926/1/012076
41. Hydrological Modelling using HEC-HMS for Flood Risk Assessment of Segamat Town, Malaysia N. Romali et al. https://doi.org/10.1088/1757-899X/318/1/012029
42. Assessing Flood Hazard at River Basin Scale: Comparison between HECRAS-WMS and Flood Hazard Index (FHI) Methods Applied to El Maleh Basin, Morocco F. Echogdali et al. https://doi.org/10.4236/jwarp.2018.109056
43. Hierarchical Bayesian Approach for Modeling Spatiotemporal Variability in Flood Damage Processes N. Sairam et al. https://doi.org/10.1029/2019WR025068
44. Identifying and characterising individual flood precautionary behaviour dynamics from panel data L. Berghäuser et al. https://doi.org/10.1016/j.ijdrr.2023.103835
45. Assessment of flood loss model transferability considering changes in precaution of flood-affected residents in Germany S. Kienzler et al. https://doi.org/10.1051/e3sconf/20160713002
46. Quantifying Flood Vulnerability Reduction via Private Precaution N. Sairam et al. https://doi.org/10.1029/2018EF000994
47. Regional Planning Approach to Protect Surrounding Towns and Villages in the Event of Dam Break: Case Study of AghChay Dam N. Zali et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000503
48. Explaining Changes in Threat Appraisal, Coping Appraisal, and Flood Risk-Reducing Behavior Using Panel Data From a Nation-Wide Survey in Germany P. Bubeck et al. https://doi.org/10.1177/00139165231176069
49. Potential types of bias when estimating causal effects in environmental research and how to interpret them K. Konno et al. https://doi.org/10.1186/s13750-024-00324-7
50. Future Public Sector Flood Risk and Risk Sharing Arrangements: An Assessment for Austria C. Unterberger et al. https://doi.org/10.1016/j.ecolecon.2018.09.019
51. Modeling the Flood Hazard Potential in the Aji Chai basin using Data Mining Algorithms T. Rahimpour & M. Rezaei Moghaddam https://doi.org/10.61186/jeer.14.4.19
52. The behavioral turn in flood risk management, its assumptions and potential implications C. Kuhlicke et al. https://doi.org/10.1002/wat2.1418
53. Flood risk management in Austria: Analysing the shift in responsibility-sharing between public and private actors from a public stakeholder's perspective M. Rauter et al. https://doi.org/10.1016/j.landusepol.2020.105017
54. The Effect of Rainfall-Runoff Characteristics on the Economic Loss from Flooding Using the ECLAC Method A. Rahmat et al. https://doi.org/10.48084/etasr.19137
55. Flood Risk Analysis in Lower Part of Markham River Based on Multi-Criteria Decision Approach (MCDA) S. Samanta et al. https://doi.org/10.3390/hydrology3030029
56. Impact of energy saving on the financial performance of industrial enterprises in China: An empirical analysis based on propensity score matching Y. Zhang et al. https://doi.org/10.1016/j.jenvman.2022.115377
57. Emotional responses and perceptions of false alarms in flood warnings and their impact on evacuation action: an empirical analysis of the Kyushu Region, Japan M. Watanabe et al. https://doi.org/10.1007/s44394-026-00029-0
58. Flood management in the built environment: the micro-scale contribution to a distributed strategy F. Vanelli et al. https://doi.org/10.1088/1755-1315/1402/1/012012
59. Using Panel Data to Understand the Dynamics of Human Behavior in Response to Flooding P. Bubeck et al. https://doi.org/10.1111/risa.13548
60. Flood susceptibility mapping using GIS and multi-criteria decision analysis: A case of Dodoma region, central Tanzania M. Msabi & M. Makonyo https://doi.org/10.1016/j.rsase.2020.100445
61. Maximum entropy in the mean methods in propensity score matching for interval and noisy data L. Gunn et al. https://doi.org/10.1080/03610926.2018.1497656
62. How to improve attribution of changes in drought and flood impacts H. Kreibich et al. https://doi.org/10.1080/02626667.2018.1558367
63. Business recovery of female-owned enterprises after urban floods: A propensity score matching analysis in the Bangkok metropolitan region S. Darnkachatarn & Y. Kajitani https://doi.org/10.1016/j.ijdrr.2026.106022
64. Spatial modeling of flood probability using geo-environmental variables and machine learning models, case study: Tajan watershed, Iran M. Avand et al. https://doi.org/10.1016/j.asr.2021.02.011
65. The Value of Empirical Data for Estimating the Parameters of a Sociohydrological Flood Risk Model M. Barendrecht et al. https://doi.org/10.1029/2018WR024128
66. Flood Vulnerability Models and Household Flood Damage Mitigation Measures: An Econometric Analysis of Survey Data T. Endendijk et al. https://doi.org/10.1029/2022WR034192
67. Combining cluster analysis with synthetic control for evaluating economic impacts of the dam breach in Mariana, Brazil L. Biazoli et al. https://doi.org/10.1007/s00181-024-02627-7
68. Residential flood loss estimated from Bayesian multilevel models G. Mohor et al. https://doi.org/10.5194/nhess-21-1599-2021
69. Balancing the interaction between urban regeneration and flood risk management – A cost benefit approach in Ústí nad Labem P. Hudson et al. https://doi.org/10.1016/j.landusepol.2022.106276
70. Incentivising flood risk adaptation through risk based insurance premiums: Trade-offs between affordability and risk reduction P. Hudson et al. https://doi.org/10.1016/j.ecolecon.2016.01.015
71. The Affordability of Flood Risk Property‐Level Adaptation Measures P. Hudson https://doi.org/10.1111/risa.13465
72. Targeting property flood resilience in flood risk management J. Webber et al. https://doi.org/10.1111/jfr3.12723
73. High-resolution approach to quantify the impact of building-level flood risk mitigation and adaptation measures on flood losses at the community-level O. Nofal & J. van de Lindt https://doi.org/10.1016/j.ijdrr.2020.101903
74. Risk of bias in effect estimates is real but still largely ignored in environmental research K. Konno et al. https://doi.org/10.1016/j.nexres.2025.100565