266 citations as recorded by crossref.

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28. A Global Flood Risk Modeling Framework Built With Climate Models and Machine Learning D. Carozza & M. Boudreault 10.1029/2020MS002221
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32. Upscaling urban data science for global climate solutions F. Creutzig et al. 10.1017/sus.2018.16
33. Enhancing local action planning through quantitative flood risk analysis: a case study in Spain J. Castillo-Rodríguez et al. 10.5194/nhess-16-1699-2016
34. Flooding Related Consequences of Climate Change on Canadian Cities and Flow Regulation Infrastructure A. Gaur et al. 10.3390/w11010063
35. Risks on global financial stability induced by climate change: the case of flood risks A. Mandel et al. 10.1007/s10584-021-03092-2
36. A Multi-Data Geospatial Approach for Understanding Flood Risk in the Coastal Plains of Tamil Nadu, India S. George et al. 10.3390/earth3010023
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38. Spatiotemporal Evaluation of Simulated Evapotranspiration and Streamflow over Texas Using the WRF‐Hydro‐RAPID Modeling Framework P. Lin et al. 10.1111/1752-1688.12585
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44. A Web GIS Platform to Modeling, Simulate and Analyze Flood Events: The RiverCure Portal A. Rodrigues da Silva et al. 10.3390/ijgi12070268
45. Seismic loss dynamics in three Asian megacities using a macro-level approach based on socioeconomic exposure indicators G. Mestav Sarica & T. Pan 10.1038/s43247-022-00430-9
46. Are OpenStreetMap building data useful for flood vulnerability modelling? M. Cerri et al. 10.5194/nhess-21-643-2021
47. Estimation of the effect of future changes in precipitation in Japan on pluvial flood damage and the damage reduction effect of mitigation/adaptation measures H. Yanagihara et al. 10.1371/journal.pclm.0000039
48. A methodology for flood susceptibility and vulnerability analysis in complex flood scenarios F. Dottori et al. 10.1111/jfr3.12234
49. A multi-dimensional framework for improving flood risk assessment: Application in the Han River Basin, China J. Yu et al. 10.1016/j.ejrh.2023.101434
50. Identification of flood‐prone areas with GeoFlood: Lessons learned from the Tiber River case study C. D'Angelo et al. 10.1111/jfr3.12795
51. Biases in national and continental flood risk assessments by ignoring spatial dependence V. Nguyen et al. 10.1038/s41598-020-76523-2
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53. Debates—Perspectives on socio‐hydrology: Capturing feedbacks between physical and social processes G. Di Baldassarre et al. 10.1002/2014WR016416
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55. Surface Water Extent Mapping in Denmark: Comparing Airborne Thermal Imagery and Satellite Earth Observation P. Bauer-Gottwein et al. 10.3390/w14223742
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57. Rising floodwaters: mapping impacts and perceptions of flooding in Indonesian Borneo J. Wells et al. 10.1088/1748-9326/11/6/064016
58. Improved building-specific flood risk assessment and implications of depth-damage function selection E. Gnan et al. 10.3389/frwa.2022.919726
59. Flood risk assessment of cultural heritage at large spatial scales: Framework and application to mainland Portugal R. Figueiredo et al. 10.1016/j.culher.2019.11.007
60. Adaptive risk management strategies for governments under future climate and socioeconomic change: An application to riverine flood risk at the global level S. Hochrainer-Stigler et al. 10.1016/j.envsci.2021.08.010
61. Mapping global non-floodplain wetlands C. Lane et al. 10.5194/essd-15-2927-2023
62. Urban flood vulnerability assessment in a densely urbanized city using multi-factor analysis and machine learning algorithms F. Parvin et al. 10.1007/s00704-022-04068-7
63. A Flood Risk Assessment Model for Companies and Criteria for Governmental Decision-Making to Minimize Hazards J. Ryu et al. 10.3390/su9112005
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66. Design with nature: Causation and avoidance of catastrophic flooding, Myanmar G. Brakenridge et al. 10.1016/j.earscirev.2016.12.009
67. Vulnerability assessment of drinking water supply under climate uncertainty using a river contamination risk (RANK) model F. Behzadi et al. 10.1016/j.envsoft.2021.105294
68. Flood risk assessments at different spatial scales H. de Moel et al. 10.1007/s11027-015-9654-z
69. Tree‐based flood damage modeling of companies: Damage processes and model performance T. Sieg et al. 10.1002/2017WR020784
70. A Flood Risk Framework Capturing the Seasonality of and Dependence Between Rainfall and Sea Levels—An Application to Ho Chi Minh City, Vietnam A. Couasnon et al. 10.1029/2021WR030002
71. Unpacking notions of residents' responsibility in flood risk governance K. Snel et al. 10.1002/eet.1985
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74. Determining flood source areas in watersheds using data-driven models and a geographic information system B. Zohourian & S. Hosseini 10.1080/02626667.2023.2220885
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79. Multi-Model Projections of River Flood Risk in Europe under Global Warming L. Alfieri et al. 10.3390/cli6010006
80. FLOPROS: an evolving global database of flood protection standards P. Scussolini et al. 10.5194/nhess-16-1049-2016
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84. Statistical model for economic damage from pluvial floods in Japan using rainfall data and socioeconomic parameters R. Bhattarai et al. 10.5194/nhess-16-1063-2016
85. The Effect of Reference Climatology on Global Flood Forecasting F. Hirpa et al. 10.1175/JHM-D-15-0044.1
86. Assessing the Economic Benefits of Flood Defenses: A Repeat‐Sales Approach A. Beltrán et al. 10.1111/risa.13136
87. An Effective Approach for Automatic River Features Extraction Using High-Resolution UAV Imagery M. La Salandra et al. 10.3390/drones7020070
88. Understanding dynamics of population flood exposure in Canada with multiple high-resolution population datasets M. Mohanty & S. Simonovic 10.1016/j.scitotenv.2020.143559
89. A comparison of definitions of affordability for flood risk adaption measures: a case study of current and future risk-based flood insurance premiums in Europe P. Hudson 10.1007/s11027-017-9769-5
90. Comparison of new generation low-complexity flood inundation mapping tools with a hydrodynamic model S. Afshari et al. 10.1016/j.jhydrol.2017.11.036
91. Cost–benefit analysis of flood‐zoning policies: A review of current practice P. Hudson & W. Botzen 10.1002/wat2.1387
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94. River flood risk in Jakarta under scenarios of future change Y. Budiyono et al. 10.5194/nhess-16-757-2016
95. A Copula-Based Bayesian Network for Modeling Compound Flood Hazard from Riverine and Coastal Interactions at the Catchment Scale: An Application to the Houston Ship Channel, Texas A. Couasnon et al. 10.3390/w10091190
96. Study on a Water-Level-Forecast Method Based on a Time Series Analysis of Urban River Basins—A Case Study of Shibuya River Basin in Tokyo N. Koyama et al. 10.3390/w15010161
97. Impact of compound flood event on coastal critical infrastructures considering current and future climate M. Khanam et al. 10.5194/nhess-21-587-2021
98. Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface K. Beven et al. 10.1007/s11430-014-5003-4
99. Comparison of estimates of global flood models for flood hazard and exposed gross domestic product: a China case study J. Aerts et al. 10.5194/nhess-20-3245-2020
100. A New Automated Method for Improved Flood Defense Representation in Large‐Scale Hydraulic Models O. Wing et al. 10.1029/2019WR025957
101. Emergency risk management for landslide dam breaks in 2018 on the Yangtze River, China J. He et al. 10.1016/j.rcns.2022.10.003
102. Plant Physiological Responses to Rising CO2 Modify Simulated Daily Runoff Intensity With Implications for Global‐Scale Flood Risk Assessment G. Kooperman et al. 10.1029/2018GL079901
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