95 citations as recorded by crossref.

1. A Bayesian network approach for multi-sectoral flood damage assessment and multi-scenario analysis R. Harris et al. https://doi.org/10.1016/j.crm.2022.100410
2. A framework for multi-risk assessment in a historical area of Lisbon G. Mascheri et al. https://doi.org/10.1016/j.ijdrr.2024.104508
3. Quantitative flood disaster loss-resilience with the multilevel hybrid evaluation model R. Yan et al. https://doi.org/10.1016/j.jenvman.2023.119026
4. A methodology for development of flood-depth-velocity damage functions for improved estimation of pluvial flood risk in cities D. Adeke & S. Mugume https://doi.org/10.1016/j.jhydrol.2025.132736
5. Extreme Flood Disasters: Comprehensive Impact and Assessment Q. Yu et al. https://doi.org/10.3390/w14081211
6. Improving flood damage estimation by integrating property elevation data M. Esparza et al. https://doi.org/10.1016/j.ijdrr.2025.105251
7. 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
8. The object-specific flood damage database HOWAS 21 P. Kellermann et al. https://doi.org/10.5194/nhess-20-2503-2020
9. Advancing Data for Street-Level Flood Vulnerability: Evaluation of Variables Extracted from Google Street View in Quito, Ecuador R. Velez et al. https://doi.org/10.1109/OJCS.2022.3166887
10. Evaluation of residential building damage for the July 2021 flood in Westport, New Zealand R. Paulik et al. https://doi.org/10.1186/s40562-024-00323-z
11. Improvements and Operational Application of a Zero-Order Quick Assessment Model for Flood Damage: A Case Study in Italy L. Manselli et al. https://doi.org/10.3390/w14030373
12. A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al. https://doi.org/10.1007/s11069-020-04413-x
13. Flood damage functions based on a single physics- and data-based impact parameter that jointly accounts for water depth and velocity T. Lazzarin et al. https://doi.org/10.1016/j.jhydrol.2022.127485
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15. Nature-based solutions as urban adaptation to climate risk: Framework for economic evaluation as decision support tool S. Sahay https://doi.org/10.1016/j.scs.2024.106037
16. Estimating exposure of residential assets to natural hazards in Europe using open data D. Paprotny et al. https://doi.org/10.5194/nhess-20-323-2020
17. Evaluating the spatial application of multivariable flood damage models R. Paulik et al. https://doi.org/10.1111/jfr3.12934
18. Probabilistic Quantification in the Analysis of Flood Risks in Cross-Border Areas of Poland and Germany Ł. Kuźmiński et al. https://doi.org/10.3390/en13226020
19. Are flood damage models converging to “reality”? Lessons learnt from a blind test D. Molinari et al. https://doi.org/10.5194/nhess-20-2997-2020
20. A microscale framework for harmonized flood and earthquake risk assessment and multi-hazard intervention appraisal A. FathiAzar et al. https://doi.org/10.1016/j.ijdrr.2026.106427
21. Numerical modelling framework for assessing dune effectiveness against coastal inundation I. Lopes et al. https://doi.org/10.5194/nhess-26-811-2026
22. Development of flood vulnerability functions for cultural heritage buildings and artworks for damage assessment in art cities C. De Lucia & C. Arrighi https://doi.org/10.5194/nhess-26-2653-2026
23. Is every flood rough on built environment? Flood fragility and vulnerability modeling for residential buildings S. Gautam et al. https://doi.org/10.1016/j.jhydrol.2026.136215
24. Integrated modeling of urban mobility, flood inundation, and sewer hydrodynamics processes to support resilience assessment of urban drainage systems L. Wang et al. https://doi.org/10.2166/wst.2024.212
25. Analysis of rainfall extremes in the Ngong River Basin of Kenya: Towards integrated urban flood risk management B. Juma et al. https://doi.org/10.1016/j.pce.2020.102929
26. 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
27. Improving flood impact estimations T. Sieg & A. Thieken https://doi.org/10.1088/1748-9326/ac6d6c
28. Flood Depth‒Damage Curves for Spanish Urban Areas E. Martínez-Gomariz et al. https://doi.org/10.3390/su12072666
29. A GIS-based flood damage index for cultural heritage C. Arrighi et al. https://doi.org/10.1016/j.ijdrr.2023.103654
30. Quantitative Flood Risk Assessment in Drammenselva River, Norway S. Hailemariam & K. Alfredsen https://doi.org/10.3390/w15050920
31. 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
32. A GIS–MCDM–Based Framework for Flood Risk Scenario in Central Lisbon G. Mascheri et al. https://doi.org/10.1080/15583058.2026.2632909
33. Assessing the impact of climate change on fluvial flood losses in urban areas: a case study of Pamplona (Spain) E. Soriano et al. https://doi.org/10.1080/02626667.2023.2246452
34. Livestock vulnerability to flooding T. Lazzarin & A. Defina https://doi.org/10.1016/j.jhydrol.2024.132613
35. Social vulnerability assessment to flood hazard in Souss basin, Morocco B. Bouaakkaz et al. https://doi.org/10.1016/j.jafrearsci.2022.104774
36. Optimal Domain Scale for Stochastic Urban Flood Damage Assessment Considering Triple Spatial Uncertainties H. Lv et al. https://doi.org/10.1029/2021WR031552
37. A Systematic Framework of Flash Floods Disaster-Causing Mechanisms in Ungauged Mountainous Micro-Watersheds: Case Study of Qialegeer Village, Xinjiang, China Q. Liu et al. https://doi.org/10.1007/s13753-025-00675-w
38. Coupling Flood Propagation Modeling and Building Collapse in Flash Flood Studies L. Milanesi & M. Pilotti https://doi.org/10.1061/(ASCE)HY.1943-7900.0001941
39. Residential building and sub-building level flood damage analysis using simple and complex models R. Paulik et al. https://doi.org/10.1007/s11069-024-06756-1
40. Residential building flood damage: Insights on processes and implications for risk assessments R. Paulik et al. https://doi.org/10.1111/jfr3.12832
41. Historical comparison of the damage caused by the propagation of a dam break wave in a pre-alpine valley R. Bonomelli et al. https://doi.org/10.1016/j.ejrh.2023.101467
42. Hydrologic models coupled with 2D hydrodynamic model for high-resolution urban flood simulation M. de Arruda Gomes et al. https://doi.org/10.1007/s11069-021-04817-3
43. Econometric modelling for estimating direct flood damage to firms: a micro-scale approach using post-event records in Italy M. Ballocci et al. https://doi.org/10.5194/nhess-26-251-2026
44. Study of flood mitigation system for improving the resilience of pluvial flood control of south Jakarta. (Case study: Ciledug raya, Cipulir.) H. Yosua et al. https://doi.org/10.1088/1755-1315/1169/1/012036
45. Cost-benefit analysis of local knowledge-based flood adaptation measures: A case study of Datian community in Zhejiang Province, China X. Lai et al. https://doi.org/10.1016/j.ijdrr.2023.103573
46. Spatial Transferability of Residential Building Damage Models between Coastal and Fluvial Flood Hazard Contexts R. Paulik et al. https://doi.org/10.3390/jmse11101960
47. Structural, dynamic and anthropic conditions that trigger the emergence of the levee effect: insight from a simplified risk-based framework C. D’Angelo et al. https://doi.org/10.1080/02626667.2020.1729985
48. SMOTE-BN-FLA: enhanced Bayesian network for rainfall-induced flood loss estimation and mechanism decoding in data-scarce regions Y. Xu & J. Wu https://doi.org/10.1016/j.jhydrol.2026.134928
49. Towards an operationalisation of nature-based solutions for natural hazards P. Kumar et al. https://doi.org/10.1016/j.scitotenv.2020.138855
50. What Will the Weather Do? Forecasting Flood Losses Based on Oscillation Indices G. Guimarães Nobre et al. https://doi.org/10.1029/2019EF001450
51. Comparison of two modelling strategies for 2D large-scale flood simulations S. Dazzi et al. https://doi.org/10.1016/j.envsoft.2021.105225
52. A Systematic Review of Flood Damage Assessment: Insight for the Data-Scarce Regions N. Romali et al. https://doi.org/10.1007/s11269-025-04265-9
53. Testing empirical and synthetic flood damage models: the case of Italy M. Amadio et al. https://doi.org/10.5194/nhess-19-661-2019
54. 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
55. 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
56. Panta Rhei: a decade of progress in research on change in hydrology and society H. Kreibich et al. https://doi.org/10.1080/02626667.2025.2469762
57. Assessment of direct economic losses of flood disasters based on spatial valuation of land use and quantification of vulnerabilities: a case study on the 2014 flood in Lishui city of China H. Zhang et al. https://doi.org/10.5194/nhess-21-3161-2021
58. Key Drivers of Flash Flood Damage to Private Households D. Rodríguez Castro et al. https://doi.org/10.1111/jfr3.70088
59. The determination of flood damage curve in areas lacking disaster data based on the optimization principle of variation coefficient and beta distribution Z. Wu et al. https://doi.org/10.1016/j.scitotenv.2020.142277
60. Quantifying Flood Vulnerability Reduction via Private Precaution N. Sairam et al. https://doi.org/10.1029/2018EF000994
61. A modified geographical weighted regression model for better flood risk assessment and management of immovable cultural heritage sites at large spatial scales L. Liang et al. https://doi.org/10.1016/j.culher.2024.06.006
62. Are OpenStreetMap building data useful for flood vulnerability modelling? M. Cerri et al. https://doi.org/10.5194/nhess-21-643-2021
63. Flood risk assessment of the European road network K. van Ginkel et al. https://doi.org/10.5194/nhess-21-1011-2021
64. 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
65. Bayesian Data-Driven approach enhances synthetic flood loss models N. Sairam et al. https://doi.org/10.1016/j.envsoft.2020.104798
66. A Zero-Order Flood Damage Model for Regional-Scale Quick Assessments A. Pogliani et al. https://doi.org/10.3390/w13091292
67. A catastrophe model approach for flood risk assessment of Italian municipalities S. Perazzini et al. https://doi.org/10.1007/s10479-024-06060-y
68. Comparing 2D capabilities of HEC-RAS and LISFLOOD-FP on complex topography I. Shustikova et al. https://doi.org/10.1080/02626667.2019.1671982
69. Scoring, selecting, and developing physical impact models for multi-hazard risk assessment R. Gentile et al. https://doi.org/10.1016/j.ijdrr.2022.103365
70. Construction of flood loss function for cities lacking disaster data based on three-dimensional (object-function-array) data processing H. Lv et al. https://doi.org/10.1016/j.scitotenv.2021.145649
71. Probabilistic Flood Loss Models for Companies L. Schoppa et al. https://doi.org/10.1029/2020WR027649
72. A new framework for flood damage assessment considering the within-event time evolution of hazard, exposure, and vulnerability T. Lazzarin et al. https://doi.org/10.1016/j.jhydrol.2022.128687
73. Toward an adequate level of detail in flood risk assessments T. Sieg et al. https://doi.org/10.1111/jfr3.12889
74. The role of socio-economic and property variables in the establishment of flood depth-damage curve for the data-scarce area in Malaysia S. Sulong & N. Romali https://doi.org/10.1080/1573062X.2022.2099292
75. A Robust and Transferable Model for the Prediction of Flood Losses on Household Contents M. Mosimann et al. https://doi.org/10.3390/w10111596
76. Flood risk assessments—Exploring maturity and challenges in Sweden B. Arvidsson & J. Johansson https://doi.org/10.1111/jfr3.12973
77. A Global Scale Analysis of River Flood Risk of UNESCO World Heritage Sites C. Arrighi https://doi.org/10.3389/frwa.2021.764459
78. Model parameter influence on probabilistic flood risk analysis R. Paulik et al. https://doi.org/10.1016/j.ijdrr.2023.104215
79. Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al. https://doi.org/10.1111/jfr3.12736
80. A framework for generating catalogues of high-impact UNSEEN flood events E. Bianco et al. https://doi.org/10.1016/j.cliser.2026.100636
81. Multivariate Flood Loss Estimation of the 2018 Bago Flood in Myanmar W. Zin et al. https://doi.org/10.20965/jdr.2020.p0300
82. 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
83. A Revised Approach to Flood Damage Estimation in Flood Risk Maps and Flood Risk Management Plans, Poland I. Godyń https://doi.org/10.3390/w13192713
84. Strategic implementation of green roofs for urban pluvial flood risk reduction: A case study of Milan, Italy A. Durrani et al. https://doi.org/10.1016/j.ijdrr.2026.106512
85. Flood vulnerability and risk assessment of urban traditional buildings in a heritage district of Kuala Lumpur, Malaysia D. D'Ayala et al. https://doi.org/10.5194/nhess-20-2221-2020
86. Multi-risk assessment in a historical city C. Arrighi et al. https://doi.org/10.1007/s11069-021-05125-6
87. Empirical flood depth damage functions based on insurance data from multiple flood events in Japan Y. Tamaki et al. https://doi.org/10.3178/hrl.24-00025
88. Levee Breaching: A New Extension to the LISFLOOD-FP Model I. Shustikova et al. https://doi.org/10.3390/w12040942
89. Urban flood risk analysis of buildings using HEC-RAS 2D in climate change framework R. Madhuri et al. https://doi.org/10.2166/h2oj.2021.111
90. Understanding flood risk in urban environments: spatial analysis of building vulnerability and hazard areas in the Lisbon metropolitan area P. Santos et al. https://doi.org/10.1007/s11069-024-06731-w
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92. Probabilistic dam breach flood modeling: the case of Valsamiotis dam in Crete S. Sarchani & A. Koutroulis https://doi.org/10.1007/s11069-022-05446-0
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