26 citations as recorded by crossref.

1. Disaster Risk Analysis Part 1: The Importance of Including Rare Events D. Etkin et al. https://doi.org/10.1515/jhsem-2017-0007
2. Annualised risk analysis approach to recommend appropriate level of flood control: application to Swannanoa river watershed A. Kalyanapu et al. https://doi.org/10.1111/jfr3.12108
3. Quantification of flash flood economic risk using ultra-detailed stage–damage functions and 2-D hydraulic models J. Garrote et al. https://doi.org/10.1016/j.jhydrol.2016.02.006
4. Quantifying the effect of sea level rise and flood defence – a point process perspective on coastal flood damage M. Boettle et al. https://doi.org/10.5194/nhess-16-559-2016
5. Damage functions for climate-related hazards: unification and uncertainty analysis B. Prahl et al. https://doi.org/10.5194/nhess-16-1189-2016
6. Flood Storage Allocation Rules for Parallel Reservoirs R. Hui & J. Lund https://doi.org/10.1061/(ASCE)WR.1943-5452.0000469
7. Validation of 2D flood models with insurance claims A. Zischg et al. https://doi.org/10.1016/j.jhydrol.2017.12.042
8. Optimal adaptation to uncertain climate change G. Guthrie https://doi.org/10.1016/j.jedc.2023.104621
9. The Future Impacts of ESL Events in Euro-Mediterranean Coastal Cities: The Coast-RiskBySea Model to Assess the Potential Economic Damages in Naples, Marseille and Barcelona M. Clemente https://doi.org/10.3390/su141610096
10. Damage assessment of lake floods: Insured damage to private property during two lake floods in Sweden 2000/2001 T. Grahn & R. Nyberg https://doi.org/10.1016/j.ijdrr.2014.10.003
11. The Manning’s Roughness Coefficient Calibration Method to Improve Flood Hazard Analysis in the Absence of River Bathymetric Data: Application to the Urban Historical Zamora City Centre in Spain J. Garrote et al. https://doi.org/10.3390/app11199267
12. An innovative micro-scale approach for vulnerability and flood risk assessment with the application to property-level protection adoptions B. Rehan https://doi.org/10.1007/s11069-018-3175-5
13. Towards a global impact-based forecasting model for tropical cyclones M. Kooshki Forooshani et al. https://doi.org/10.5194/nhess-24-309-2024
14. Flood Risk Modeling under Uncertainties: The Case Study of Croatia T. Kekez et al. https://doi.org/10.3390/w14101585
15. A Quantitative Flood-Related Building Damage Evaluation Method Using Airborne LiDAR Data and 2-D Hydraulic Model D. Shen et al. https://doi.org/10.3390/w11050987
16. Sources of uncertainty in a probabilistic flood risk model B. Winter et al. https://doi.org/10.1007/s11069-017-3135-5
17. 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
18. The impact of intense rainfall on insurance losses in two Swedish cities B. Blumenthal & L. Nyberg https://doi.org/10.1111/jfr3.12504
19. Effects of digital terrain model uncertainties on high‐resolution urban flood damage assessment C. Arrighi & L. Campo https://doi.org/10.1111/jfr3.12530
20. Climate change impact on small coastal river basins: from problem identification to adaptation in Klaipėda City J. Kažys et al. https://doi.org/10.1080/17565529.2013.789789
21. Comparing Generic and Case Study Damage Functions: London Storm-Surge Example D. Rybski et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000336
22. Estimation of flood damage functions for river basin planning: a case study in Bangladesh Y. Yang et al. https://doi.org/10.1007/s11069-014-1459-y
23. Uncertainty and sensitivity analysis of flood risk management decisions based on stationary and nonstationary model choices B. Rehan et al. https://doi.org/10.1051/e3sconf/20160720003
24. Damage and protection cost curves for coastal floods within the 600 largest European cities B. Prahl et al. https://doi.org/10.1038/sdata.2018.34
25. Estimation of insurance-related losses resulting from coastal flooding in France J. Naulin et al. https://doi.org/10.5194/nhess-16-195-2016
26. Free Global DEMs and Flood Modelling—A Comparison Analysis for the January 2015 Flooding Event in Mocuba City (Mozambique) J. Garrote https://doi.org/10.3390/w14020176