335 citations as recorded by crossref.

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3. Flood resilience C. Zevenbergen et al. https://doi.org/10.1098/rsta.2019.0212
4. On the Influence of Input Data Quality to Flood Damage Estimation: The Performance of the INSYDE Model D. Molinari & A. Scorzini https://doi.org/10.3390/w9090688
5. Accounting public and individual flood protection measures in damage assessment: A novel approach for quantitative assessment of vulnerability and flood risk associated with local engineering adaptation options B. Rehan https://doi.org/10.1016/j.jhydrol.2018.06.061
6. Flood risk assessment of the European road network K. van Ginkel et al. https://doi.org/10.5194/nhess-21-1011-2021
7. Cost–benefit analysis of coastal flood defence measures in the North Adriatic Sea M. Amadio et al. https://doi.org/10.5194/nhess-22-265-2022
8. Deciphering the drivers of direct and indirect damages to companies from an unprecedented flood event: A data-driven, multivariate probabilistic approach R. Guntu et al. https://doi.org/10.5194/nhess-26-163-2026
9. Towards global sensitivity analysis of large-scale flood loss models F. Pianosi et al. https://doi.org/10.5194/nhess-26-1727-2026
10. Building Asset Value Mapping in Support of Flood Risk Assessments: A Case Study of Shanghai, China J. Wu et al. https://doi.org/10.3390/su11040971
11. Updating the regulatory framework for the design and construction of water supply and sanitation systems O. Primin et al. https://doi.org/10.1051/bioconf/202410701003
12. Review article: Assessing the costs of natural hazards – state of the art and knowledge gaps V. Meyer et al. https://doi.org/10.5194/nhess-13-1351-2013
13. Effect of spatial adaptation measures on flood risk: study of coastal floods in Belgium E. Koks et al. https://doi.org/10.1007/s10113-013-0514-7
14. Regional and Temporal Transferability of Multivariable Flood Damage Models D. Wagenaar et al. https://doi.org/10.1029/2017WR022233
15. 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
16. Review article: Physical vulnerability database for critical infrastructure hazard risk assessments – a systematic review and data collection S. Nirandjan et al. https://doi.org/10.5194/nhess-24-4341-2024
17. A methodology for flood susceptibility and vulnerability analysis in complex flood scenarios F. Dottori et al. https://doi.org/10.1111/jfr3.12234
18. Population, land use and economic exposure estimates for Europe at 100 m resolution from 1870 to 2020 D. Paprotny & M. Mengel https://doi.org/10.1038/s41597-023-02282-0
19. Fine‐scale damage assessment of urban flooding based on the 1D/2D coupled hydrodynamic model B. Dong et al. https://doi.org/10.1002/rvr2.68
20. Developing a Depth–Damage Function for the Built Environment to Support Disaster Risk Assessment in India A. Harikumar & S. Thampi https://doi.org/10.1061/JWRMD5.WRENG-7116
21. Flood loss modelling with FLF-IT: a new flood loss function for Italian residential structures R. Hasanzadeh Nafari et al. https://doi.org/10.5194/nhess-17-1047-2017
22. Enhancing local action planning through quantitative flood risk analysis: a case study in Spain J. Castillo-Rodríguez et al. https://doi.org/10.5194/nhess-16-1699-2016
23. Improved assessment of rainfall-induced railway infrastructure risk in China using empirical data W. Zhu et al. https://doi.org/10.1007/s11069-022-05605-3
24. Probabilistic depth–damage curves for assessment of flood-induced building losses H. McGrath et al. https://doi.org/10.1007/s11069-019-03622-3
25. Bias in Flood Hazard Grid Aggregation S. Bryant et al. https://doi.org/10.1029/2023WR035100
26. A GIS-based procedure for preliminary mapping of pluvial flood risk at metropolitan scale C. Di Salvo et al. https://doi.org/10.1016/j.envsoft.2018.05.020
27. Probabilistic framework for quantifying infrastructure systems’ resilience against floods A. Daneshifar & H. Kashani https://doi.org/10.1080/23789689.2024.2328977
28. Sources of uncertainty in a probabilistic flood risk model B. Winter et al. https://doi.org/10.1007/s11069-017-3135-5
29. Flood Protection and Land Value Creation – Not all Resilience Investments Are Created Equal P. Avner et al. https://doi.org/10.1007/s41885-022-00117-7
30. Assessing Direct and Indirect Economic Impacts of a Flood Event Through the Integration of Spatial and Computable General Equilibrium Modelling L. Carrera et al. https://doi.org/10.2139/ssrn.2637313
31. Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method D. Zhang et al. https://doi.org/10.3390/ijerph17165821
32. Are OpenStreetMap building data useful for flood vulnerability modelling? M. Cerri et al. https://doi.org/10.5194/nhess-21-643-2021
33. River basin planning: from qualitative to quantitative flood risk assessment: the case of Abruzzo Region (central Italy) A. Scorzini & M. Leopardi https://doi.org/10.1007/s11069-017-2857-8
34. A geospatial framework to estimate depth of scour under buildings due to storm surge in coastal areas M. Borga et al. https://doi.org/10.1007/s11069-017-2817-3
35. Global economic response to river floods S. Willner et al. https://doi.org/10.1038/s41558-018-0173-2
36. 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
37. Distributed hydrodynamic modelling for assessing flood impacts on crops: Assessing flood-resilient crop management in a coastal basin of central Italy T. Lucaora et al. https://doi.org/10.1016/j.agwat.2025.109352
38. MODELING THE IMPACT OF SEA LEVEL RISE TO POTENTIAL FLOOD DAMAGE IN THE MEKONG T. SATO et al. https://doi.org/10.2208/jscejhe.70.I_103
39. Multi-variable flood damage modelling with limited data using supervised learning approaches D. Wagenaar et al. https://doi.org/10.5194/nhess-17-1683-2017
40. Relationship between residential house damage and flood characteristics: A case study in the Teesta River Basin, Bangladesh S. Haque et al. https://doi.org/10.1016/j.ijdrr.2023.103901
41. Effects of variability in probable maximum precipitation patterns on flood losses A. Zischg et al. https://doi.org/10.5194/hess-22-2759-2018
42. Analysis of pluvial flood damage costs in residential buildings – A case study in Malmö S. Mobini et al. https://doi.org/10.1016/j.ijdrr.2021.102407
43. Combining Synthetic and Observed Data to Enhance Machine Learning Model Performance for Streamflow Prediction S. López-Chacón et al. https://doi.org/10.3390/w15112020
44. Quantifying the added value of impact-based warnings for flash flood monitoring using innovative multi-source impact data J. Godet et al. https://doi.org/10.1016/j.ijdrr.2026.106058
45. Predicting and communicating flood risk of transport infrastructure based on watershed characteristics A. Michielsen et al. https://doi.org/10.1016/j.jenvman.2016.07.051
46. Flood vulnerability assessment of residential buildings by explicit damage process modelling R. Custer & K. Nishijima https://doi.org/10.1007/s11069-015-1725-7
47. A Method for Urban Flood Risk Assessment and Zoning Considering Road Environments and Terrain N. Chen et al. https://doi.org/10.3390/su11102734
48. Flood risk assessment and resilience strategies for flood risk management: A case study of Surat City R. Waghwala & P. Agnihotri https://doi.org/10.1016/j.ijdrr.2019.101155
49. Geospatial Mapping and Meteorological Flood Risk Assessment: A Global Research Trend Analysis P. Sibandze et al. https://doi.org/10.1007/s00267-024-02059-0
50. Accounting for risk aversion, income distribution and social welfare in cost‐benefit analysis for flood risk management J. Kind et al. https://doi.org/10.1002/wcc.446
51. INSYDE-content: a synthetic, multi-variable flood damage model for household contents P. Acharya et al. https://doi.org/10.5194/nhess-25-4317-2025
52. Developing a multivariable lookup table function for estimating flood damages of rice crop in Vietnam using a secondary research approach N. Nguyen et al. https://doi.org/10.1016/j.ijdrr.2021.102208
53. Distributed Hydrological Model for Assessing Flood Hazards in Laos S. Phrakonkham et al. https://doi.org/10.4236/jwarp.2019.118056
54. DamaGIS: a multisource geodatabase for collection of flood-related damage data C. Saint-Martin et al. https://doi.org/10.5194/essd-10-1019-2018
55. Multi-Model Projections of River Flood Risk in Europe under Global Warming L. Alfieri et al. https://doi.org/10.3390/cli6010006
56. Flood damage: a model for consistent, complete and multipurpose scenarios S. Menoni et al. https://doi.org/10.5194/nhess-16-2783-2016
57. Quantifying the effect of autonomous adaptation to global river flood projections: application to future flood risk assessments Y. Kinoshita et al. https://doi.org/10.1088/1748-9326/aa9401
58. Exposure and vulnerability estimation for modelling flood losses to commercial assets in Europe D. Paprotny et al. https://doi.org/10.1016/j.scitotenv.2020.140011
59. Micro-sized enterprises: vulnerability to flash floods K. Karagiorgos et al. https://doi.org/10.1007/s11069-016-2476-9
60. How to Integrate Labor Disruption into an Economic Impact Evaluation Model for Postdisaster Recovery Periods Z. Zhang et al. https://doi.org/10.1111/risa.13365
61. 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
62. Process-based flood damage modelling relying on expert knowledge: a methodological contribution applied to the agricultural sector P. Brémond et al. https://doi.org/10.5194/nhess-22-3385-2022
63. Quantitative assessment of inundation risks from physical contributors associated with future storm surges: a case study of Typhoon Maemi (2003) S. Hwang et al. https://doi.org/10.1007/s11069-020-04225-z
64. AGRIDE-c, a conceptual model for the estimation of flood damage to crops: development and implementation D. Molinari et al. https://doi.org/10.5194/nhess-19-2565-2019
65. Adaptive flood risk management: A decision support system integrating deep learning, digital twins, and economic risk assessment M. Chabot & J. Bertrand https://doi.org/10.1016/j.gloenvcha.2025.103069
66. Damage functions for transport infrastructure N. Habermann & R. Hedel https://doi.org/10.1108/IJDRBE-09-2017-0052
67. The impact of floodplain land use on flood wave propagation G. Rak et al. https://doi.org/10.1007/s11069-016-2322-0
68. Risk-based flood protection planning under climate change and modeling uncertainty: a pre-alpine case study B. Dittes et al. https://doi.org/10.5194/nhess-18-1327-2018
69. Assessing the cost-effectiveness of Nature-based Solutions under climate change uncertainty and learning L. Vogelsang et al. https://doi.org/10.1016/j.wre.2023.100224
70. The value of advanced flood models, damage costs and land use data in cost-effective climate change adaptation K. Halsnæs et al. https://doi.org/10.1016/j.cliser.2023.100424
71. 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
72. Collaborative Strategies for Sustainable EU Flood Risk Management: FOSS and Geospatial Tools—Challenges and Opportunities for Operative Risk Analysis R. Albano et al. https://doi.org/10.3390/ijgi4042704
73. Selecting coastal hotspots to storm impacts at the regional scale: a Coastal Risk Assessment Framework C. Viavattene et al. https://doi.org/10.1016/j.coastaleng.2017.09.002
74. Tomorrow's disasters – Embedding foresight principles into disaster risk assessment and treatment G. Riddell et al. https://doi.org/10.1016/j.ijdrr.2019.101437
75. Assessment of future risk of agricultural crop production under climate and social changes scenarios: A case of the Solo River basin in Indonesia B. Shrestha et al. https://doi.org/10.1111/jfr3.13052
76. A model taxonomy for flood fragility and vulnerability assessment of buildings C. Galasso et al. https://doi.org/10.1016/j.ijdrr.2020.101985
77. Improving flood damage estimation by integrating property elevation data M. Esparza et al. https://doi.org/10.1016/j.ijdrr.2025.105251
78. Population exposure predicts flood losses in Sweden K. Karagiorgos et al. https://doi.org/10.1038/s44304-026-00194-8
79. Improving flood risk analysis for effectively supporting the implementation of flood risk management plans: The case study of “Serio” Valley R. Albano et al. https://doi.org/10.1016/j.envsci.2017.05.017
80. Who can you trust? Implications of institutional vulnerability in flood exposure along the Spanish Mediterranean coast F. López-Martínez et al. https://doi.org/10.1016/j.envsci.2017.06.004
81. Evaluation of 1D hydraulic models for the simulation of mountain fluvial floods: a case study of the Santa Bárbara River in Ecuador J. Pinos et al. https://doi.org/10.2166/wpt.2019.018
82. Water depth estimate and flood extent enhancement for satellite-based inundation maps A. Betterle & P. Salamon https://doi.org/10.5194/nhess-24-2817-2024
83. Improving the systems for surface runoff treatment O. Primin et al. https://doi.org/10.1051/e3sconf/202345702018
84. Use of fluid structure interaction technique for flash flood impact assessment of structural components S. Kankanamge et al. https://doi.org/10.1111/jfr3.12581
85. Evolution of flood protection levels and flood vulnerability in Europe since 1950 estimated with vine-copula models D. Paprotny et al. https://doi.org/10.1007/s11069-024-07039-5
86. Low‐Probability Flood Risk Modeling for New York City J. Aerts et al. https://doi.org/10.1111/risa.12008
87. Soil sealing and flood risks in the plains of Emilia-Romagna, Italy A. Pistocchi et al. https://doi.org/10.1016/j.ejrh.2015.06.021
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90. Socio-economic vulnerability of the megacity of Shanghai (China) to sea-level rise and associated storm surges B. Yan et al. https://doi.org/10.1007/s10113-015-0878-y
91. An examination of flood resilience in London Borough of Southwark L. Nelson & N. Ahmadpoor https://doi.org/10.1016/j.uclim.2023.101692
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95. Technical Note: Resolution enhancement of flood inundation grids S. Bryant et al. https://doi.org/10.5194/hess-28-575-2024
96. Assessing the Economic Benefits of Flood Defenses: A Repeat‐Sales Approach A. Beltrán et al. https://doi.org/10.1111/risa.13136
97. Dynamic typhoon risk assessment integrating seasonal variability and social perception: a utility-based framework G. Liu et al. https://doi.org/10.1007/s11069-025-07857-1
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104. Statistical model for economic damage from pluvial floods in Japan using rainfall data and socioeconomic parameters R. Bhattarai et al. https://doi.org/10.5194/nhess-16-1063-2016
105. Quickly Assess the Direct Loss of Houses Caused by a Typhoon-Rainstorm-Storm Surge–Flood Chain: Case of Haikou City J. Wan et al. https://doi.org/10.3390/w14193037
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116. Flood risk assessment for delta mega-cities: a case study of Jakarta Y. Budiyono et al. https://doi.org/10.1007/s11069-014-1327-9
117. Calibration and validation of FLFArs -- a new flood loss function for Australian residential structures R. Hasanzadeh Nafari et al. https://doi.org/10.5194/nhess-16-15-2016
118. Keeping healthcare afloat: a protocol for a 5-year multi-sited interdisciplinary research project into preparedness of healthcare for floods in the Netherlands R. Borst et al. https://doi.org/10.1186/s12961-025-01338-4
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120. A Similarity-Based Fuzzy Framework for Flood Damage Assessment Under Data-Scarce Conditions T. Vranić et al. https://doi.org/10.3390/math14050760
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124. Development and assessment of uni- and multivariable flood loss models for Emilia-Romagna (Italy) F. Carisi et al. https://doi.org/10.5194/nhess-18-2057-2018
125. Establishment of flood damage function model for rural roads: A case study in the Teesta River basin, Bangladesh S. Haque et al. https://doi.org/10.1016/j.pdisas.2022.100269
126. Predictive applications of Australian flood loss models after a temporal and spatial transfer R. Hasanzadeh Nafari & T. Ngo https://doi.org/10.1080/19475705.2018.1445666
127. Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam C. Luu et al. https://doi.org/10.1007/s11069-021-04821-7
128. Integrated mapping of water-related disasters using the analytical hierarchy process under land use change and climate change issues in Laos S. Phakonkham et al. https://doi.org/10.5194/nhess-21-1551-2021
129. Structural flood damage and the efficacy of property-level flood protection H. Chung & K. Adeyeye https://doi.org/10.1108/IJBPA-09-2017-0040
130. Improving flood damage assessment models in Italy M. Amadio et al. https://doi.org/10.1007/s11069-016-2286-0
131. 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
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133. Natural Disaster Information System (NDIS) for RPAS Mission Planning R. Al Wardah & A. Braun https://doi.org/10.3390/drones9110734
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135. Real-time river level estimation based on variations of radar reflectivity—a case study of the Quitandinha River watershed, Petrópolis, Rio de Janeiro (Brazil) F. da Silva et al. https://doi.org/10.1007/s42865-021-00030-z
136. Development and evaluation of FLFAcs – A new Flood Loss Function for Australian commercial structures R. Hasanzadeh Nafari et al. https://doi.org/10.1016/j.ijdrr.2016.03.007
137. Disaggregation of the Copernicus Land Use/Land Cover (LULC) and Population Density Data to Fit Mesoscale Flood Risk Assessment Requirements in Partially Urbanized Catchments in Croatia B. Horvat & N. Krvavica https://doi.org/10.3390/land12112014
138. A Review of Flood Loss Models as Basis for Harmonization and Benchmarking T. Gerl et al. https://doi.org/10.1371/journal.pone.0159791
139. Neglecting uncertainties biases house-elevation decisions to manage riverine flood risks M. Zarekarizi et al. https://doi.org/10.1038/s41467-020-19188-9
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141. Combining hazard, exposure and social vulnerability to provide lessons for flood risk management E. Koks et al. https://doi.org/10.1016/j.envsci.2014.10.013
142. Flood risk assessment of cultural heritage at large spatial scales: Framework and application to mainland Portugal R. Figueiredo et al. https://doi.org/10.1016/j.culher.2019.11.007
143. Decision trees in cost–benefit analysis for flood risk management plans J. Napolitano et al. https://doi.org/10.2166/hydro.2024.194
144. Integrated Direct and Indirect Flood Risk Modeling: Development and Sensitivity Analysis E. Koks et al. https://doi.org/10.1111/risa.12300
145. 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
146. A co-design matrix-based approach to evaluate the climate risks for airports: A case study of Bologna airport C. Vivo et al. https://doi.org/10.1016/j.cliser.2024.100536
147. Evaluating the effect of flood damage-reducing measures: a case study of the unembanked area of Rotterdam, the Netherlands H. de Moel et al. https://doi.org/10.1007/s10113-013-0420-z
148. The spatial overlay effect of urban waterlogging risk and land use value Y. Ding et al. https://doi.org/10.1016/j.scitotenv.2024.174290
149. Non-structural flood mitigation optimization at community scale: Middle Cedar Case Study E. Yildirim et al. https://doi.org/10.1016/j.jenvman.2023.119025
150. Optimization of HPPs chain operation on the Lower Sava during flood events G. Rak & M. Brenčič https://doi.org/10.15292/acta.hydro.2019.07
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153. The construction of flood loss ratio function in cities lacking loss data based on dynamic proportional substitution and hierarchical Bayesian model H. Lv et al. https://doi.org/10.1016/j.jhydrol.2020.125797
154. Testing empirical and synthetic flood damage models: the case of Italy M. Amadio et al. https://doi.org/10.5194/nhess-19-661-2019
155. Quantification of flood risk mitigation benefits: A building-scale damage assessment through the RASOR platform C. Arrighi et al. https://doi.org/10.1016/j.jenvman.2017.11.017
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