71 citations as recorded by crossref.

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20. 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
21. Forest Fire Probability Mapping in Eastern Serbia: Logistic Regression versus Random Forest Method S. Milanović et al. https://doi.org/10.3390/f12010005
22. 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
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24. 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
25. 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
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27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
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35. Urban pluvial flood adaptation: Results of a household survey across four German municipalities L. Dillenardt et al. https://doi.org/10.1111/jfr3.12748
36. Investigating the Risk Reduction Potential of Disaster Insurance Across Europe S. Surminski & P. Hudson https://doi.org/10.1057/s41288-016-0039-7
37. 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
38. Theoretical frameworks of risk perception and protective behaviour: an empirical comparison S. Rufat et al. https://doi.org/10.1007/s11069-025-07368-z
39. Flood Vulnerability Study of Pangkalpinang City, Bangka Belitung Archipelago Province . Guskarnali et al. https://doi.org/10.1088/1755-1315/926/1/012076
40. 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
41. 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
42. Hierarchical Bayesian Approach for Modeling Spatiotemporal Variability in Flood Damage Processes N. Sairam et al. https://doi.org/10.1029/2019WR025068
43. Identifying and characterising individual flood precautionary behaviour dynamics from panel data L. Berghäuser et al. https://doi.org/10.1016/j.ijdrr.2023.103835
44. 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
45. Quantifying Flood Vulnerability Reduction via Private Precaution N. Sairam et al. https://doi.org/10.1029/2018EF000994
46. 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
47. 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
48. 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
49. 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
50. 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
51. The behavioral turn in flood risk management, its assumptions and potential implications C. Kuhlicke et al. https://doi.org/10.1002/wat2.1418
52. 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
53. 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
54. 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
55. 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
56. 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
57. 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
58. 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
59. How to improve attribution of changes in drought and flood impacts H. Kreibich et al. https://doi.org/10.1080/02626667.2018.1558367
60. 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
61. 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
62. 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
63. 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
64. 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
65. Residential flood loss estimated from Bayesian multilevel models G. Mohor et al. https://doi.org/10.5194/nhess-21-1599-2021
66. 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
67. 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
68. The Affordability of Flood Risk Property‐Level Adaptation Measures P. Hudson https://doi.org/10.1111/risa.13465
69. Targeting property flood resilience in flood risk management J. Webber et al. https://doi.org/10.1111/jfr3.12723
70. 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
71. 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