119 citations as recorded by crossref.

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25. A Study on Estimation Equation for Damage and Recovery Costs Considering Human Losses Focused on Natural Disasters in the Republic of Korea Y. Song & M. Park 10.3390/su10093103
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27. County-scale dataset indicating the effects of disasters on crops in Taiwan from 2003 to 2022 Y. Su et al. 10.1038/s41597-024-03053-1
28. Desastres naturais e saúde: uma análise da situação do Brasil C. Freitas et al. 10.1590/1413-81232014199.00732014
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30. Human damage assessments of coastal flooding for Hong Kong and the Pearl River Delta due to climate change-related sea level rise in the twenty-first century Q. Yu et al. 10.1007/s11069-018-3236-9
31. Extreme temperature conditions and wildland fires in Spain A. Cardil et al. 10.1007/s00704-014-1295-8
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36. Surface water floods in Switzerland: what insurance claim records tell us about the damage in space and time D. Bernet et al. 10.5194/nhess-17-1659-2017
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42. Projections of global warming-induced impacts on winter storm losses in the German private household sector H. Held et al. 10.1007/s10584-013-0872-7
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56. What Will the Weather Do? Forecasting Flood Losses Based on Oscillation Indices G. Guimarães Nobre et al. 10.1029/2019EF001450
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58. A meta-analysis of the literature on climate change and migration M. Beine & L. Jeusette 10.1017/dem.2019.22
59. Large Hail Incidence and Its Economic and Societal Impacts across Europe T. Púčik et al. 10.1175/MWR-D-19-0204.1
60. Time series analysis and probabilistic model of the financial costs of major disasters in the USA C. Shukla & C. MacKenzie 10.1007/s10669-023-09912-3
61. A Disaster Management Plan Study Using the Disaster Yearbook and a Comprehensive Plan for Storm and Flood Damage Reduction: A Focus on Gyeongsangnum-do Y. Song et al. 10.9798/KOSHAM.2018.18.5.265
62. A framework to assess quality and uncertainty in disaster loss data X. Romão & E. Paupério 10.1007/s11069-016-2364-3
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65. The Swiss flood and landslide damage database: Normalisation and trends N. Andres & A. Badoux 10.1111/jfr3.12510
66. Statistics on Typhoon Intensity and Rice Damage in Vietnam and the Philippines K. Yuen et al. 10.3390/geohazards5010002
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70. Analysis of urban rainfall from hourly to seasonal scales using high‐resolution radar observations in the Netherlands I. Manola et al. 10.1002/joc.6241
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72. A review of multiple natural hazards and risks in Germany H. Kreibich et al. 10.1007/s11069-014-1265-6
73. Recombining past event precipitation and antecedent catchment states generates unprecedented floods L. Han et al. 10.1038/s43247-025-02691-6
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75. Modeling the extent of surface water floods in rural areas: Lessons learned from the application of various uncalibrated models D. Bernet et al. 10.1016/j.envsoft.2018.08.005
76. Modeling future flood frequency under CMIP5 Scenarios in Hare watershed, Southern Rift Valley of Ethiopia B. Menna & T. Ayalew 10.1007/s12517-021-08479-0
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78. Adapting to Natural Disasters through Better Information: Evidence from the Home Seller Disclosure Requirement S. Lee 10.2139/ssrn.3960813
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84. Geospatial and Temporal Patterns of Natural and Man-Made (Technological) Disasters (1900–2024): Insights from Different Socio-Economic and Demographic Perspectives V. Cvetković et al. 10.3390/app14188129
85. Flood risk assessment using geospatial data and multi-criteria decision approach: a study from historically active flood-prone region of Himalayan foothill, India S. Roy et al. 10.1007/s12517-021-07324-8
86. Informing Climate Adaptation: A Review of the Economic Costs of Natural Disasters, Their Determinants, and Risk Reduction Options C. Kousky 10.2139/ssrn.2099769
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88. Assessment and Mapping of Riverine Flood Susceptibility (RFS) in India through Coupled Multicriteria Decision Making Models and Geospatial Techniques R. Kumar et al. 10.3390/w15223918
89. Design of a geological multihazard framework on volcanic islands: case study of the Galapagos islands M. Maurizio et al. 10.1007/s11069-024-07076-0
90. EM-DAT: the Emergency Events Database D. Delforge et al. 10.1016/j.ijdrr.2025.105509
91. Hydrological modelling of urbanized catchments: A review and future directions E. Salvadore et al. 10.1016/j.jhydrol.2015.06.028
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93. As the Wind Blows? Understanding Hurricane Damages at the Local Level through a Case Study Analysis J. Czajkowski & J. Done 10.1175/WCAS-D-13-00024.1
94. More Intense and Longer Torrential Rain and Flood Events During the Recent Past Decade in Eurasia S. Wang et al. 10.1029/2022WR033314
95. Disaster loss indicators for reporting to DesInventar Sendai and enabling rapid monetary valuation in Malaysia T. Bhuiyan et al. 10.1016/j.wace.2022.100488
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98. Rainfall-runoff modeling based on HEC-HMS model: a case study in an area with increased groundwater discharge potential M. Herbei et al. 10.3389/frwa.2024.1474990
99. Tropical cyclone impact data in the Philippines: implications for disaster risk research E. Galloway et al. 10.1007/s11069-025-07394-x
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108. A database of high-impact weather events in Greece: a descriptive impact analysis for the period 2001–2011 K. Papagiannaki et al. 10.5194/nhess-13-727-2013
109. Criteria and components of the emergency and disaster database in Iran: A content analysis study S. Mazhin et al. 10.4103/jehp.jehp_93_21
110. Spatiotemporal distributions of influential tropical cyclones and associated economic losses in China in 1984–2015 Y. Wang et al. 10.1007/s11069-016-2531-6
111. Barriers to climate change adaptation in the Australian construction industry – Impetus for regulatory reform A. Hurlimann et al. 10.1016/j.buildenv.2018.04.015
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115. The object-specific flood damage database HOWAS 21 P. Kellermann et al. 10.5194/nhess-20-2503-2020
116. Sendai targets at risk S. Cutter & M. Gall 10.1038/nclimate2718
117. The role of climate variability in extreme floods in Europe G. Nobre et al. 10.1088/1748-9326/aa7c22
118. The potential of global reanalysis datasets in identifying flood events in Southern Africa G. Gründemann et al. 10.5194/hess-22-4667-2018
119. Disaster Damage Records of EM-DAT and DesInventar: A Systematic Comparison V. Panwar & S. Sen 10.1007/s41885-019-00052-0