81 citations as recorded by crossref.

1. Flood risk assessment for Mulde River catchment transferring data from an observed meteorological flood event B. Aslantas et al. 10.1016/j.rineng.2024.103029
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3. Self‐stated recovery from flooding: Empirical results from a survey in Central Vietnam P. Hudson et al. 10.1111/jfr3.12680
4. Assessment of Effective Monitoring Sites in a Reservoir Watershed by Support Vector Machine Coupled with Multi-Objective Genetic Algorithm for Sediment Flux Prediction during Typhoons B. Jhong et al. 10.1007/s11269-021-02832-4
5. The flood of June 2013 in Germany: how much do we know about its impacts? A. Thieken et al. 10.5194/nhess-16-1519-2016
6. What helps people recover from floods? Insights from a survey among flood-affected residents in Germany P. Bubeck & A. Thieken 10.1007/s10113-017-1200-y
7. Sustainable survival under climatic extremes: linking flood risk mitigation and coping with flood damages in rural Pakistan A. Abbas et al. 10.1007/s11356-018-3203-8
8. Adaptive capacity of homeowners in Ghana to improve technical and social flood resilience H. Meyer et al. 10.1016/j.ijdrr.2024.104953
9. Quantifying Flood Vulnerability Reduction via Private Precaution N. Sairam et al. 10.1029/2018EF000994
10. How to improve attribution of changes in drought and flood impacts H. Kreibich et al. 10.1080/02626667.2018.1558367
11. Flood experience and access to insurance contribute to differences in homeowners’ post-disaster adaptation in a cross-border region of Western Europe T. Endendijk et al. 10.1038/s43247-025-02385-z
12. The object-specific flood damage database HOWAS 21 P. Kellermann et al. 10.5194/nhess-20-2503-2020
13. Are OpenStreetMap building data useful for flood vulnerability modelling? M. Cerri et al. 10.5194/nhess-21-643-2021
14. Assessing the Effects of WFD Nutrient Reductions Within an OSPAR Frame Using Trans-boundary Nutrient Modeling H. Lenhart & F. Große 10.3389/fmars.2018.00447
15. Longitudinal survey data for diversifying temporal dynamics in flood risk modelling E. Mondino et al. 10.5194/nhess-21-2811-2021
16. Defining affordability and adaptation resource prioritisation P. Hudson & T. Thaler 10.1016/j.crm.2023.100569
17. Comparison of extreme precipitation characteristics between the Ore Mountains and the Vosges Mountains (Europe) J. Minářová et al. 10.1007/s00704-017-2247-x
18. Risk behaviour and people's attitude towards public authorities – A survey of 2007 UK and 2013 German floods F. Mahdavian et al. 10.1016/j.ijdrr.2020.101685
19. Performance of the flood warning system in Germany in July 2021 – insights from affected residents A. Thieken et al. 10.5194/nhess-23-973-2023
20. Assessment of flood loss model transferability considering changes in precaution of flood-affected residents in Germany S. Kienzler et al. 10.1051/e3sconf/20160713002
21. Economic Value of Flood Forecasts and Early Warning Systems: A Review G. Van Houtven 10.1061/NHREFO.NHENG-2094
22. Post-depositional alteration of stable isotope signals by preferential degradation of algae-derived organic matter in reservoir sediments X. Liu et al. 10.1007/s10533-022-00930-y
23. Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction D. Wagenaar et al. 10.1111/risa.13575
24. Assessing Multidimensional Vulnerability of Rural Areas to Flooding: An Index-Based Approach S. Rasool et al. 10.1007/s13753-024-00547-9
25. The challenges of longitudinal surveys in the flood risk domain P. Hudson et al. 10.1080/13669877.2019.1617339
26. Optimal Domain Scale for Stochastic Urban Flood Damage Assessment Considering Triple Spatial Uncertainties H. Lv et al. 10.1029/2021WR031552
27. The mixed blessing of shifting responsibilities: Challenges for introducing compulsory elemental insurance in Germany J. Plass & J. Zinn 10.1016/j.ijdrr.2025.105670
28. Vulnerability assessment including tangible and intangible components in the index composition: An Amazon case study of flooding and flash flooding M. Andrade & C. Szlafsztein 10.1016/j.scitotenv.2018.02.271
29. Machine learning-based peak flow estimation for Nebraska streams S. Pokharel et al. 10.1080/15715124.2025.2469901
30. A No-Regrets Framework for Sustainable Individual and Collective Flood Preparedness Under Uncertainty J. Ommer et al. 10.3390/su17135828
31. Spatial distribution of socio-demographic and housing-based factors in relation to flash and slow-rise flooding hazards in the U.S O. Oke et al. 10.1088/1748-9326/acce4e
32. National laws for enhancing flood resilience in the context of climate change: potential and shortcomings S. Mehryar & S. Surminski 10.1080/14693062.2020.1808439
33. Residential flood loss estimated from Bayesian multilevel models G. Mohor et al. 10.5194/nhess-21-1599-2021
34. Integrating direct messaging with flood alerts and warnings: Insights into effectiveness from a registered public user population A. Geddes et al. 10.1111/jfr3.12972
35. A comparative survey of the impacts of extreme rainfall in two international case studies M. Spekkers et al. 10.5194/nhess-17-1337-2017
36. Integrating agent-based approaches with flood risk models: A review and perspective J. Aerts 10.1016/j.wasec.2020.100076
37. Validation of flood risk models: Current practice and possible improvements D. Molinari et al. 10.1016/j.ijdrr.2018.10.022
38. Cross-scale interactions in flood risk management: A case study from Rovaniemi, Finland A. Räsänen 10.1016/j.ijdrr.2021.102185
39. Public perception of the urban pluvial floods risk-case study of Porec (Croatia) S. Siljeg et al. 10.2298/IJGI2202147S
40. Flood-related extreme precipitation in southwestern Germany: development of a two-dimensional stochastic precipitation model F. Ehmele & M. Kunz 10.5194/hess-23-1083-2019
41. Panta Rhei 2013–2015: global perspectives on hydrology, society and change H. McMillan et al. 10.1080/02626667.2016.1159308
42. Exploring changes in hydrogeological risk awareness and preparedness over time: a case study in northeastern Italy E. Mondino et al. 10.1080/02626667.2020.1729361
43. Social disruption by flooding, a European perspective W. Ten Brinke et al. 10.1016/j.ijdrr.2017.01.011
44. The Value of Empirical Data for Estimating the Parameters of a Sociohydrological Flood Risk Model M. Barendrecht et al. 10.1029/2018WR024128
45. Machine learning applications in flood forecasting and predictions, challenges, and way-out in the perspective of changing environment V. Kumar et al. 10.3934/environsci.2025004
46. Short contribution on adaptive behaviour of flood‐prone companies: A pilot study of Dresden‐Laubegast, Germany C. Jehmlich et al. 10.1111/jfr3.12653
47. Assessing the impact of early warning and evacuation on human losses during the 2021 Ahr Valley flood in Germany using agent-based modelling A. Silva et al. 10.5194/nhess-25-1501-2025
48. The importance of public risk perception for the effective management of pluvial floods in urban areas: A case study from Germany L. Netzel et al. 10.1111/jfr3.12688
49. Investigating moral hazard and property-level flood resilience measures through panel data from Germany P. Hudson & L. Berghäuser 10.1016/j.ijdrr.2022.103480
50. Avaliação dos fatores que influenciam na percepção de risco de inundação: uma revisão sistemática de pesquisas empíricas M. Fonseca et al. 10.4000/confins.50531
51. Preparedness against floods in nearly pristine socio-hydrological systems C. Veloso et al. 10.1080/02626667.2021.2023156
52. Compound inland flood events: different pathways, different impacts and different coping options A. Thieken et al. 10.5194/nhess-22-165-2022
53. New insights into flood warning reception and emergency response by affected parties H. Kreibich et al. 10.5194/nhess-17-2075-2017
54. Hierarchical Bayesian Approach for Modeling Spatiotemporal Variability in Flood Damage Processes N. Sairam et al. 10.1029/2019WR025068
55. Were the floods in the UK 2007 and Germany 2013 game-changers? S. Platt et al. 10.1098/rsta.2019.0372
56. A Novel Modeling Approach to Quantify the Influence of Nitrogen Inputs on the Oxygen Dynamics of the North Sea F. Große et al. 10.3389/fmars.2017.00383
57. Designing and Psychometric Evaluation of a Questionnaire for Assessing Society's Perception of Flash Flood Risk A. Rahimizadeh et al. 10.5812/healthscope-146111
58. Influence of risk information and perception on residents’ flood behavioural responses in Inland Northern China Y. Liu et al. 10.1007/s11069-024-07023-z
59. Torrential floods in the upper Soana Valley (NW Italian Alps): Geomorphological processes and risk-reduction strategies F. Luino et al. 10.1016/j.ijdrr.2017.10.021
60. Adaptation to flood risk: Results of international paired flood event studies H. Kreibich et al. 10.1002/2017EF000606
61. Behavioral mechanism on flood risk response: a case study in Accra, Ghana L. Agyepong et al. 10.1007/s11069-024-07040-y
62. The presence of moral hazard regarding flood insurance and German private businesses P. Hudson & A. Thieken 10.1007/s11069-022-05227-9
63. Expectations, disappointments, and individual responses: Imbalances in multilevel flood risk governance revealed by public survey P. Raška et al. 10.1111/jfr3.12615
64. Bayesian Data-Driven approach enhances synthetic flood loss models N. Sairam et al. 10.1016/j.envsoft.2020.104798
65. Duration, rarity, affected area, and weather types associated with extreme precipitation in the Ore Mountains (Erzgebirge) region, Central Europe J. Minářová et al. 10.1002/joc.5100
66. Flash floods versus river floods – a comparison of psychological impacts and implications for precautionary behaviour J. Laudan et al. 10.5194/nhess-20-999-2020
67. Coping with Pluvial Floods by Private Households V. Rözer et al. 10.3390/w8070304
68. Exploring the limits and gaps of flood adaptation J. Aerts et al. 10.1038/s44221-024-00274-x
69. Linking solidarity funds and philanthropic giving to finance loss and damage from climate change related slow-onset events M. Pill 10.1016/j.cosust.2021.04.003
70. Flood risk perception and adaptation capacity: a contribution to the socio-hydrology debate S. Fuchs et al. 10.5194/hess-21-3183-2017
71. Long-term variance of heavy precipitation across central Europe using a large ensemble of regional climate model simulations F. Ehmele et al. 10.5194/esd-11-469-2020
72. Multiple Flood Experiences and Social Resilience: Findings from Three Surveys on Households and Companies Exposed to the 2013 Flood in Germany C. Kuhlicke et al. 10.1175/WCAS-D-18-0069.1
73. Holistic Multidimensional Vulnerability Assessment: An empirical investigation on rural communities of the Hindu Kush Himalayan region, Northern Pakistan Z. Khalid et al. 10.1016/j.ijdrr.2021.102413
74. A new framework for flood damage assessment considering the within-event time evolution of hazard, exposure, and vulnerability T. Lazzarin et al. 10.1016/j.jhydrol.2022.128687
75. Toward an adequate level of detail in flood risk assessments T. Sieg et al. 10.1111/jfr3.12889
76. Regional and Temporal Transferability of Multivariable Flood Damage Models D. Wagenaar et al. 10.1029/2017WR022233
77. A Comparison of Factors Driving Flood Losses in Households Affected by Different Flood Types G. Mohor et al. 10.1029/2019WR025943
78. Recent inorganic carbon increase in a temperate estuary driven by water quality improvement and enhanced by droughts L. Rewrie et al. 10.5194/bg-20-4931-2023
79. Identifying and characterising individual flood precautionary behaviour dynamics from panel data L. Berghäuser et al. 10.1016/j.ijdrr.2023.103835
80. Towards Sustainable Land Uses within the Elbe River Biosphere Reserve in Lower Saxony, Germany by Means of TerraSAR-X Images D. Farghaly et al. 10.4236/gep.2016.43009
81. Estimating changes in flood risks and benefits of non-structural adaptation strategies - a case study from Tyrol, Austria A. Thieken et al. 10.1007/s11027-014-9602-3