52 citations as recorded by crossref.

1. Estimating direct economic impacts of severe flood events in Turkey (2015–2020) G. Koç et al. https://doi.org/10.1016/j.ijdrr.2021.102222
2. The contribution of short-waves in storm surges: Two case studies in the Bay of Biscay X. Bertin et al. https://doi.org/10.1016/j.csr.2015.01.005
3. Water level predictions with machine learning in enclosed, semi-enclosed, inland and open (marginal) seas M. Ozturk & F. Altas https://doi.org/10.1016/j.rsma.2025.104448
4. Analysis of Ocean Parameters as Sources of Coastal Storm Damage: Regional Empirical Thresholds in Northern Spain V. Rivas et al. https://doi.org/10.3390/cli10060088
5. An Integrated Flood Risk Assessment and Mitigation Framework: A Case Study for Middle Cedar River Basin, Iowa, US E. Yildirim & I. Demir https://doi.org/10.1016/j.ijdrr.2021.102113
6. A local-scale approach to estuarine flood risk management P. Freire et al. https://doi.org/10.1007/s11069-016-2510-y
7. Changes in flood damage with global warming on the eastern coast of Spain M. Cortès et al. https://doi.org/10.5194/nhess-19-2855-2019
8. Multi-Variate Analyses of Flood Loss in Can Tho City, Mekong Delta D. Chinh et al. https://doi.org/10.3390/w8010006
9. Natural hazard insurance outcomes at national, regional and local scales: A comparison between Sweden and Portugal M. Leal et al. https://doi.org/10.1016/j.jenvman.2022.116079
10. Climate mode interactions amplify coastal flood risks and their seasonal predictability J. Boucharel et al. https://doi.org/10.1038/s41561-025-01903-0
11. 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
12. Flooding hazard in the Tagus estuarine area: The challenge of scale in vulnerability assessments A. Tavares et al. https://doi.org/10.1016/j.envsci.2015.04.010
13. Flood risk assessment and quantification at the community and property level in the State of Iowa E. Yildirim et al. https://doi.org/10.1016/j.ijdrr.2022.103106
14. Estimation of insurance-related losses resulting from coastal flooding in France J. Naulin et al. https://doi.org/10.5194/nhess-16-195-2016
15. Validated probabilistic approach to estimate flood direct impacts on the population and assets on European coastlines E. Duo et al. https://doi.org/10.5194/nhess-25-13-2025
16. 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
17. Innovations in the use of data facilitating insurance as a resilience mechanism for coastal flood risk A. Rumson & S. Hallett https://doi.org/10.1016/j.scitotenv.2019.01.114
18. 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
19. Ex post damage assessment: an Italian experience D. Molinari et al. https://doi.org/10.5194/nhess-14-901-2014
20. Decision-tree analysis of factors influencing rainfall-related building structure and content damage M. Spekkers et al. https://doi.org/10.5194/nhess-14-2531-2014
21. Coastal flooding of urban areas by overtopping: dynamic modelling application to the Johanna storm (2008) in Gâvres (France) S. Le Roy et al. https://doi.org/10.5194/nhess-15-2497-2015
22. Water Level Predictions at Both Entrances of a Sea Strait by Using Machine Learning F. Altaş & M. Öztürk https://doi.org/10.3390/w16162335
23. Modélisation déterministe et probabiliste des dommages assurantiels causés par les phénomènes de submersion marine en France métropolitaine J. Naulin et al. https://doi.org/10.1051/lhb/2019022
24. Assessment of climatic risks for real estate J. Hirsch et al. https://doi.org/10.1108/PM-01-2015-0005
25. An Assessment of the Effectiveness of Tree-Based Models for Multi-Variate Flood Damage Assessment in Australia R. Hasanzadeh Nafari et al. https://doi.org/10.3390/w8070282
26. Flood and drought risk assessment for agricultural areas (Tagus Estuary, Portugal) P. Freire et al. https://doi.org/10.5194/nhess-21-2503-2021
27. An Empirical, Functional approach to Depth Damages W. Lehman et al. https://doi.org/10.1051/e3sconf/20160705002
28. Combination of traditional and parametric insurance: calibration method based on the optimization of a criterion adapted to heavy tail losses O. Lopez & D. Nkameni https://doi.org/10.1080/03461238.2026.2706133
29. On the occurrence of rainstorm damage based on home insurance and weather data M. Spekkers et al. https://doi.org/10.5194/nhess-15-261-2015
30. Influence des systèmes d’indemnisation des risques côtiers sur les choix résidentiels en France et au Québec J. Delannoy et al. https://doi.org/10.4000/bagf.8564
31. North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset P. Coll-Hidalgo et al. https://doi.org/10.1038/s41597-024-04091-5
32. Protection by hard defence structures or relocation of assets exposed to coastal risks: Contributions and drawbacks of cost-benefit analysis for long-term adaptation choices to climate change C. André et al. https://doi.org/10.1016/j.ocecoaman.2016.10.003
33. Distribución espacial de los daños producidos por los temporales del invierno 2014 en la costa norte de España: peligrosidad, vulnerabilidad y exposición C. Garmendia Pedraja et al. https://doi.org/10.3989/estgeogr.201703
34. On the improvement of wave and storm surge hindcasts by downscaled atmospheric forcing: application to historical storms É. Bresson et al. https://doi.org/10.5194/nhess-18-997-2018
35. Big Data and Actuarial Science H. Hassani et al. https://doi.org/10.3390/bdcc4040040
36. A novel clay shrink-swell buildings damage model: From unstructured insurance data to the creation of buildings database, and the proposition of damage severity scale N. Mzungu et al. https://doi.org/10.1016/j.ijdrr.2025.105636
37. Measuring and understanding the microeconomic resilience of businesses to lifeline service interruptions due to natural disasters N. Graveline & M. Grémont https://doi.org/10.1016/j.ijdrr.2017.05.012
38. Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall Observations K. Papagiannaki et al. https://doi.org/10.3390/w14060994
39. 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
40. Earth Observations for Monitoring Marine Coastal Hazards and Their Drivers A. Melet et al. https://doi.org/10.1007/s10712-020-09594-5
41. Different types of flooding lead to different human and material damages: the case of the Lisbon Metropolitan Area M. Leal et al. https://doi.org/10.1007/s11069-017-3153-3
42. Stratégies d’adaptation et réduction de la vulnérabilité G. Jouannic et al. https://doi.org/10.4000/eps.7011
43. Estuarine flooding in urban areas: enhancing vulnerability assessment P. Santos et al. https://doi.org/10.1007/s11069-017-3067-0
44. Identifying 2010 Xynthia Storm Signature in GNSS-R-Based Tide Records P. Vu et al. https://doi.org/10.3390/rs11070782
45. Estimation of global coastal sea level extremes using neural networks N. Bruneau et al. https://doi.org/10.1088/1748-9326/ab89d6
46. Multioutput Gaussian processes with functional data: A study on coastal flood hazard assessment A. López-Lopera et al. https://doi.org/10.1016/j.ress.2021.108139
47. How much does an extreme rainfall event cost? Material damage and relationships between insurance, rainfall, land cover and urban flooding M. Leal et al. https://doi.org/10.1080/02626667.2019.1595625
48. Interest of Social Representations Theory to grasp coastal vulnerability and to enhance coastal risk management (Interés de la Teoría de las Representaciones Sociales para entender la vulnerabilidad costera y para mejorar la gestión de los riesgos costeros) C. Meur-Ferec & E. Guillou https://doi.org/10.1080/21711976.2019.1644003
49. Automatic Creation of Storm Impact Database Based on Video Monitoring and Convolutional Neural Networks A. Callens et al. https://doi.org/10.3390/rs13101933
50. A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al. https://doi.org/10.1007/s11069-020-04413-x
51. 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
52. A Zero-Order Flood Damage Model for Regional-Scale Quick Assessments A. Pogliani et al. https://doi.org/10.3390/w13091292