49 citations as recorded by crossref.

1. Drivers of flood risk change in residential areas F. Elmer et al. https://doi.org/10.5194/nhess-12-1641-2012
2. Assessing the probability of large‐scale flood loss events: a case study for the river Rhine, Germany A. Thieken et al. https://doi.org/10.1111/jfr3.12091
3. Toward an adequate level of detail in flood risk assessments T. Sieg et al. https://doi.org/10.1111/jfr3.12889
4. A grid-level fixed-asset model developed for China from 1951 to 2020 D. Xin et al. https://doi.org/10.5194/nhess-25-1597-2025
5. Rainstorm waterlogging risk assessment in central urban area of Shanghai based on multiple scenario simulation R. Quan https://doi.org/10.1007/s11069-014-1156-x
6. Hochwasserrisikoanalysen an der Elbe – Methodenvergleich und Datenauflösung U. Herrmann et al. https://doi.org/10.1007/s00506-007-0137-7
7. Urban flood depth-economic loss curves and their amendment based on resilience: evidence from Lizhong Town in Lixia River and Houbai Town in Jurong River of China X. Wu et al. https://doi.org/10.1007/s11069-016-2281-5
8. Assessment of climatic risks for real estate J. Hirsch et al. https://doi.org/10.1108/PM-01-2015-0005
9. The Role of Disaggregation of Asset Values in Flood Loss Estimation: A Comparison of Different Modeling Approaches at the Mulde River, Germany A. Wünsch et al. https://doi.org/10.1007/s00267-009-9335-3
10. Global exposure to river and coastal flooding: Long term trends and changes B. Jongman et al. https://doi.org/10.1016/j.gloenvcha.2012.07.004
11. Extensive Exposure Mapping in Urban Areas through Deep Analysis of Street-Level Pictures for Floor Count Determination G. Iannelli & F. Dell’Acqua https://doi.org/10.3390/urbansci1020016
12. Flood risk analyses—how detailed do we need to be? H. Apel et al. https://doi.org/10.1007/s11069-008-9277-8
13. Probabilistic, Multivariable Flood Loss Modeling on the Mesoscale with BT‐FLEMO H. Kreibich et al. https://doi.org/10.1111/risa.12650
14. Pan-European seismic risk assessment: a proof of concept using the Earthquake Loss Estimation Routine (ELER) C. Corbane et al. https://doi.org/10.1007/s10518-016-9993-5
15. Spatial seismic hazard variation and adaptive sampling of portfolio location uncertainty in probabilistic seismic risk analysis C. Scheingraber & M. Käser https://doi.org/10.5194/nhess-20-1903-2020
16. Comparative flood damage model assessment: towards a European approach B. Jongman et al. https://doi.org/10.5194/nhess-12-3733-2012
17. Benchmark wealth capital stock estimations across China's 344 prefectures: 1978 to 2012 J. WU et al. https://doi.org/10.1016/j.chieco.2014.10.008
18. Surface water floods in Switzerland: what insurance claim records tell us about the damage in space and time D. Bernet et al. https://doi.org/10.5194/nhess-17-1659-2017
19. From the urban metabolism to the urban immune system D. Bristow & E. Mohareb https://doi.org/10.1111/jiec.12919
20. Estimating the economic loss caused by earthquake in Mainland China Y. Li et al. https://doi.org/10.1016/j.ijdrr.2023.103708
21. Continuous, large‐scale simulation model for flood risk assessments: proof‐of‐concept D. Falter et al. https://doi.org/10.1111/jfr3.12105
22. Flood Damage Modeling on the Basis of Urban Structure Mapping Using High-Resolution Remote Sensing Data T. Gerl et al. https://doi.org/10.3390/w6082367
23. Analysis of a detention basin impact on dike failure probabilities and flood risk for a channel-dike-floodplain system along the river Elbe, Germany S. Vorogushyn et al. https://doi.org/10.1016/j.jhydrol.2012.03.006
24. A comparison of building value models for flood risk analysis V. Röthlisberger et al. https://doi.org/10.5194/nhess-18-2431-2018
25. Flood loss estimation using 3D city models and remote sensing data K. Schröter et al. https://doi.org/10.1016/j.envsoft.2018.03.032
26. Influence of flood risk characteristics on flood insurance demand: a comparison between Germany and the Netherlands I. Seifert et al. https://doi.org/10.5194/nhess-13-1691-2013
27. Assessing residential building values in Spain for risk analyses – application to the landslide hazard in the Autonomous Community of Valencia I. Cantarino et al. https://doi.org/10.5194/nhess-14-3015-2014
28. Simulation of flood hazard and risk in the Danube basin with the Future Danube Model F. Hattermann et al. https://doi.org/10.1016/j.cliser.2018.07.001
29. A review of multiple natural hazards and risks in Germany H. Kreibich et al. https://doi.org/10.1007/s11069-014-1265-6
30. The Value of Empirical Data for Estimating the Parameters of a Sociohydrological Flood Risk Model M. Barendrecht et al. https://doi.org/10.1029/2018WR024128
31. Up-scaling of multi-variable flood loss models from objects to land use units at the meso-scale H. Kreibich et al. https://doi.org/10.5194/piahs-373-179-2016
32. Modelling national residential building exposure to flooding hazards R. Paulik et al. https://doi.org/10.1016/j.ijdrr.2023.103826
33. 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
34. Refined urban disaster vulnerability assessment based on elements at risk: A case study of Dalian, China Y. Qin et al. https://doi.org/10.1016/j.scs.2023.104978
35. Exposure assessment of rainstorm waterlogging on old-style residences in Shanghai based on scenario simulation Y. Shi et al. https://doi.org/10.1007/s11069-009-9428-6
36. Probabilistic winter storm risk assessment for residential buildings in Germany P. Heneka & T. Hofherr https://doi.org/10.1007/s11069-010-9593-7
37. Development of an Asset Value Map for Disaster Risk Assessment in China by Spatial Disaggregation Using Ancillary Remote Sensing Data J. Wu et al. https://doi.org/10.1111/risa.12806
38. How do changes along the risk chain affect flood risk? A. Metin et al. https://doi.org/10.5194/nhess-18-3089-2018
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. Uncertainty and sensitivity analyses in seismic risk assessments on the example of Cologne, Germany S. Tyagunov et al. https://doi.org/10.5194/nhess-14-1625-2014
41. FLIAT, An Object-Relational GIS Tool for Flood Impact Assessment in Flanders, Belgium S. Van Ackere et al. https://doi.org/10.3390/w11040711
42. Risk assessment of flood disaster in Shanghai based on spatial–temporal characteristics analysis from 251 to 2000 R. Quan https://doi.org/10.1007/s12665-014-3360-0
43. Waterlogging risk assessment based on land use/cover change: a case study in Pudong New Area, Shanghai R. Quan et al. https://doi.org/10.1007/s12665-009-0431-8
44. Multi-model ensembles for assessment of flood losses and associated uncertainty R. Figueiredo et al. https://doi.org/10.5194/nhess-18-1297-2018
45. On the role of floodplain storage and hydrodynamic interactions in flood risk estimation M. Farrag et al. https://doi.org/10.1080/02626667.2022.2030058
46. 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
47. Local scale multiple quantitative risk assessment and uncertainty evaluation in a densely urbanised area (Brescia, Italy) S. Lari et al. https://doi.org/10.5194/nhess-12-3387-2012
48. Spatially coherent flood risk assessment based on long-term continuous simulation with a coupled model chain D. Falter et al. https://doi.org/10.1016/j.jhydrol.2015.02.021
49. 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