66 citations as recorded by crossref.

1. 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
2. Evaluating data quality collected by volunteers for first-level inspection of hydraulic structures in mountain catchments V. Cortes Arevalo et al. https://doi.org/10.5194/nhess-14-2681-2014
3. 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/10.1016/j.envsoft.2014.09.016
4. 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
5. A rapid numerical-based vulnerability assessment method for masonry buildings subject to flood G. Capparelli et al. https://doi.org/10.1016/j.ijdrr.2023.104001
6. Machine learning approach for disaster risk and resilience assessment in coupled human infrastructure systems performance X. Li & A. Mostafavi https://doi.org/10.1038/s44304-025-00104-4
7. Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction D. Wagenaar et al. https://doi.org/10.1111/risa.13575
8. Enabling Knowledge through Structured Disaster Damage & Loss Data Management System A. Faiella et al. https://doi.org/10.3390/su14106187
9. Implementing the European “Floods Directive”: the Case of the Po River Basin D. Molinari et al. https://doi.org/10.1007/s11269-016-1248-3
10. Flood damage: a model for consistent, complete and multipurpose scenarios S. Menoni et al. https://doi.org/10.5194/nhess-16-2783-2016
11. 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
12. Regional and Temporal Transferability of Multivariable Flood Damage Models D. Wagenaar et al. https://doi.org/10.1029/2017WR022233
13. Operationalizing resilience practices in transportation infrastructure planning and project development A. Esmalian et al. https://doi.org/10.1016/j.trd.2022.103214
14. Development of a flood damage mitigation index for flood management capacity assessment using regression function parameters H. Park & S. Seo https://doi.org/10.1007/s11069-025-07605-5
15. Evolution of flood risk over large areas: Quantitative assessment for the Po river A. Domeneghetti et al. https://doi.org/10.1016/j.jhydrol.2015.05.043
16. The potential of open-access data for flood estimations: uncovering inundation hotspots in Ho Chi Minh City, Vietnam, through a normalized flood severity index L. Scheiber et al. https://doi.org/10.5194/nhess-23-2313-2023
17. The monetary benefit of early flood warnings in Europe F. Pappenberger et al. https://doi.org/10.1016/j.envsci.2015.04.016
18. 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
19. Flood footprint assessment: a new approach for flood-induced indirect economic impact measurement and post-flood recovery Z. Zeng et al. https://doi.org/10.1016/j.jhydrol.2019.124204
20. Testing empirical and synthetic flood damage models: the case of Italy M. Amadio et al. https://doi.org/10.5194/nhess-19-661-2019
21. Coping with Extreme Events: Effect of Different Reservoir Operation Strategies on Flood Inundation Maps E. Ridolfi et al. https://doi.org/10.3390/w11050982
22. Tree‐based flood damage modeling of companies: Damage processes and model performance T. Sieg et al. https://doi.org/10.1002/2017WR020784
23. Systematic literature review of methodologies for assessing the costs of disasters D. Eckhardt et al. https://doi.org/10.1016/j.ijdrr.2018.10.010
24. Flood damage data analysis: towards an improvement of data quality and usability D. Molinari et al. https://doi.org/10.1051/e3sconf/20160705009
25. INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis F. Dottori et al. https://doi.org/10.5194/nhess-16-2577-2016
26. Survey data of damaged residential buildings and business premises from the 2022 record-breaking flood in the Marche region, Italy S. Rrokaj et al. https://doi.org/10.5194/essd-17-6487-2025
27. The RISPOSTA procedure for the collection, storage and analysis of high quality, consistent and reliable damage data in the aftermath of floods F. Ballio et al. https://doi.org/10.1111/jfr3.12216
28. Flood inundation mapping sensitivity to riverine spatial resolution and modelling approach G. Papaioannou et al. https://doi.org/10.1007/s11069-016-2382-1
29. Optimal Domain Scale for Stochastic Urban Flood Damage Assessment Considering Triple Spatial Uncertainties H. Lv et al. https://doi.org/10.1029/2021WR031552
30. Crisis information to support spatial planning in post disaster recovery O. Mejri et al. https://doi.org/10.1016/j.ijdrr.2017.02.007
31. Flood risk management activities in Vietnam: A study of local practice in Quang Nam province C. Luu et al. https://doi.org/10.1016/j.ijdrr.2018.02.006
32. Urban Planning for Disaster Risk Reduction and Climate Change Adaptation: A Review at the Crossroads of Research and Practice S. Menoni https://doi.org/10.3390/su17209092
33. Damage assessment in Braunsbach 2016: data collection and analysis for an improved understanding of damaging processes during flash floods J. Laudan et al. https://doi.org/10.5194/nhess-17-2163-2017
34. 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
35. Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy R. Albano et al. https://doi.org/10.1016/j.jag.2018.06.019
36. Validation of flood risk models: Current practice and possible improvements D. Molinari et al. https://doi.org/10.1016/j.ijdrr.2018.10.022
37. Probabilistic Flood Loss Models for Companies L. Schoppa et al. https://doi.org/10.1029/2020WR027649
38. A methodology to conduct wind damage field surveys for high-impact weather events of convective origin O. Rodríguez et al. https://doi.org/10.5194/nhess-20-1513-2020
39. On the modeling of significance for flood damage assessment D. Molinari et al. https://doi.org/10.1016/j.ijdrr.2014.10.009
40. Analysis of damaging hydrogeological events in a Mediterranean region (Calabria) L. Aceto et al. https://doi.org/10.1016/j.jhydrol.2015.12.041
41. Unravelling the influence of human behaviour on reducing casualties during flood evacuation S. Alonso Vicario et al. https://doi.org/10.1080/02626667.2020.1810254
42. Time series analysis and probabilistic model of the financial costs of major disasters in the USA C. Shukla & C. MacKenzie https://doi.org/10.1007/s10669-023-09912-3
43. Learning from past earthquakes: a comparative analysis and unified framework for proactive seismic risk management of vernacular heritage in historic urban landscapes R. Ramírez Eudave et al. https://doi.org/10.1016/j.ijdrr.2026.106344
44. Bottom-up approach for flood-risk management in developing countries: a case study in the Gianh River watershed of Vietnam H. Nguyen et al. https://doi.org/10.1007/s11069-023-06098-4
45. Residential building flood damage: Insights on processes and implications for risk assessments R. Paulik et al. https://doi.org/10.1111/jfr3.12832
46. Assessing the degree of tidal flood damage to salt harvesting landscape using synthetic approach and GIS - Case study: Cirebon, West Java A. Nirwansyah & B. Braun https://doi.org/10.1016/j.ijdrr.2021.102099
47. Factorial CGE‐Based Analysis for the Indirect Benefits of the Three Gorges Project D. Han et al. https://doi.org/10.1029/2022WR033360
48. 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
49. Ex-Ante Flooding Damages’ Monetary Valuation Model for Productive and Environmental Resources V. Del Giudice et al. https://doi.org/10.3390/w16050665
50. Application of project management to disaster resilience S. Prasad et al. https://doi.org/10.1007/s10479-017-2679-9
51. Multi-Scale Assessment of the Economic Impacts of Flooding: Evidence from Firm to Macro-Level Analysis in the Chinese Manufacturing Sector X. Hu et al. https://doi.org/10.3390/su11071933
52. The generation of new tsunami risk areas due to an intentionally biased reconstruction process: Case study of llico after the 2010 Chile tsunami R. Aránguiz et al. https://doi.org/10.1016/j.ijdrr.2020.101727
53. A national scale flood hazard mapping methodology: The case of Greece – Protection and adaptation policy approaches N. Kourgialas & G. Karatzas https://doi.org/10.1016/j.scitotenv.2017.05.197
54. 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
55. 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
56. An Empirical, Functional approach to Depth Damages W. Lehman et al. https://doi.org/10.1051/e3sconf/20160705002
57. 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
58. Livestock vulnerability to flooding T. Lazzarin & A. Defina https://doi.org/10.1016/j.jhydrol.2024.132613
59. Flood damage curves: new insights from the 2010 flood in Veneto, Italy A. Scorzini & E. Frank https://doi.org/10.1111/jfr3.12163
60. Tangible and intangible ex post assessment of flood-induced damage to cultural heritage C. De Lucia et al. https://doi.org/10.5194/nhess-24-4317-2024
61. Economic footprint assessment of storm surge disasters in China based on disastrously-extended input-output analysis R. Han et al. https://doi.org/10.3389/fmars.2025.1673928
62. 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
63. A framework to assess quality and uncertainty in disaster loss data X. Romão & E. Paupério https://doi.org/10.1007/s11069-016-2364-3
64. A model taxonomy for flood fragility and vulnerability assessment of buildings C. Galasso et al. https://doi.org/10.1016/j.ijdrr.2020.101985
65. Flood risk assessment through large-scale modeling under uncertainty L. Pavesi et al. https://doi.org/10.5194/nhess-24-4507-2024
66. 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