88 citations as recorded by crossref.

1. Flood damage functions for rice: synthesizing evidence and building data-driven models A. Bill-Weilandt et al. https://doi.org/10.5194/nhess-26-925-2026
2. An Information System for Risk-Vulnerability Assessment to Flood S. Karmakar et al. https://doi.org/10.4236/jgis.2010.23020
3. A Flood Risk Framework Capturing the Seasonality of and Dependence Between Rainfall and Sea Levels—An Application to Ho Chi Minh City, Vietnam A. Couasnon et al. https://doi.org/10.1029/2021WR030002
4. Application of a Simple Raster-Based Hydrological Model for Streamflow Prediction in a Humid Catchment with Polder Systems G. Zhao et al. https://doi.org/10.1007/s11269-010-9719-4
5. Seasonal flood risk for paddy rice production in northwest Peninsular Malaysia B. Rehan et al. https://doi.org/10.1080/02626667.2024.2325040
6. Probabilistic framework for quantifying infrastructure systems’ resilience against floods A. Daneshifar & H. Kashani https://doi.org/10.1080/23789689.2024.2328977
7. Remote Sensing Based Rapid Assessment of Flood Crop Damage Using Novel Disaster Vegetation Damage Index (DVDI) M. Rahman et al. https://doi.org/10.1007/s13753-020-00305-7
8. An integrated regionalization framework for incorporating flood seasonality into agricultural flood risk assessments A. Scorzini et al. https://doi.org/10.1007/s00477-025-03137-3
9. A review of multiple natural hazards and risks in Germany H. Kreibich et al. https://doi.org/10.1007/s11069-014-1265-6
10. How are flood risk estimates affected by the choice of return-periods? P. Ward et al. https://doi.org/10.5194/nhess-11-3181-2011
11. Quantitative flood hazard assessment methods: A review A. Maranzoni et al. https://doi.org/10.1111/jfr3.12855
12. Impact of different rainfall patterns on flood risk on the urban-rural gradient Y. Xu et al. https://doi.org/10.1016/j.jenvman.2025.126583
13. Development of a Flash Flood Confidence Index from Disaster Reports and Geophysical Susceptibility A. Kruczkiewicz et al. https://doi.org/10.3390/rs13142764
14. Parametric and physically based modelling techniques for flood risk and vulnerability assessment: A comparison S. Balica et al. https://doi.org/10.1016/j.envsoft.2012.11.002
15. Evaluating tide level under extreme rainfall in a large coastal basin L. Wang et al. https://doi.org/10.1007/s00477-023-02638-3
16. Enhancing resilience: Understanding the impact of flood hazard and vulnerability on business interruption and losses T. Endendijk et al. https://doi.org/10.1016/j.wre.2024.100244
17. The effects of the July 2005 catastrophic inundations in the Siret River’s Lower Watershed, Romania G. Romanescu & I. Nistor https://doi.org/10.1007/s11069-010-9617-3
18. Large-scale, seasonal flood risk analysis for agricultural crops in Germany S. Klaus et al. https://doi.org/10.1007/s12665-016-6096-1
19. The KULTURisk Regional Risk Assessment methodology for water-related natural hazards – Part 1: Physical–environmental assessment P. Ronco et al. https://doi.org/10.5194/hess-18-5399-2014
20. Integrated approach to analyze the total flood risk for agriculture: The significance of intangible damages – A case study in Central Vietnam P. Nga et al. https://doi.org/10.1016/j.ijdrr.2018.08.001
21. A new methodology for probabilistic flood displacement risk assessment: the case of Fiji and Vanuatu L. Rossi et al. https://doi.org/10.3389/fclim.2024.1345258
22. Mapping Impact of Tidal Flooding on Solar Salt Farming in Northern Java using a Hydrodynamic Model A. Nirwansyah & B. Braun https://doi.org/10.3390/ijgi8100451
23. Agriculture damage data collection: A model for reconstructing comprehensive damage dynamics A. Faiella https://doi.org/10.1016/j.pdisas.2020.100112
24. Multi-variate flood damage assessment: a tree-based data-mining approach B. Merz et al. https://doi.org/10.5194/nhess-13-53-2013
25. A Systematic Review on Case Studies of Remote-Sensing-Based Flood Crop Loss Assessment M. Rahman & L. Di https://doi.org/10.3390/agriculture10040131
26. Review Article: Economic evaluation of flood damage to agriculture – review and analysis of existing methods P. Brémond et al. https://doi.org/10.5194/nhess-13-2493-2013
27. Application of hydroclimatic drought indicators in the transboundary Prut River basin V. Potopová et al. https://doi.org/10.1007/s00704-019-02789-w
28. Evaluating urban growth and its implication on flood hazard and vulnerability in Srinagar city, Kashmir Valley, using geoinformatics T. Ahmad et al. https://doi.org/10.1007/s12517-019-4458-1
29. Flood vulnerability assessment using GIS at Fetam watershed, upper Abbay basin, Ethiopia H. Desalegn & A. Mulu https://doi.org/10.1016/j.heliyon.2020.e05865
30. Economic impact upon agricultural production from extreme flood events in Quang Nam, central Vietnam V. Chau et al. https://doi.org/10.1007/s11069-014-1395-x
31. Flood risk modeling for optimal rice planning for delta region of Mahanadi river basin in India D. Samantaray et al. https://doi.org/10.1007/s11069-014-1493-9
32. The Construction of a Crop Flood Damage Assessment Index to Rapidly Assess the Extent of Postdisaster Impact Y. Dang et al. https://doi.org/10.3390/rs16091527
33. The flood fighting problem: A basic model and construction heuristics K. Eisele & A. Kimms https://doi.org/10.1016/j.tre.2025.104636
34. The Cost of Bad Timing: How Phenology and Frequency Determine Agricultural Flood Risk S. Jalilov et al. https://doi.org/10.1007/s11269-026-04801-1
35. Implementation and adaptation of a macro-scale method to assess and monitor direct economic losses caused by natural hazards S. Natho & A. Thieken https://doi.org/10.1016/j.ijdrr.2018.03.008
36. The Total Cost of Hydrological Disasters S. Balbi https://doi.org/10.2139/ssrn.2075996
37. Water reservoirs and the risk of accidental flood occurrence. Case study: Stanca–Costesti reservoir and the historical floods of the Prut river in the period July–August 2008, Romania G. Romanescu et al. https://doi.org/10.1002/hyp.7957
38. Establishing flood damage functions for agricultural crops using estimated inundation depth and flood disaster statistics in data-scarce regions N. Nguyen et al. https://doi.org/10.3178/hrl.11.12
39. Developing flood vulnerability curve for rice crop using remote sensing and hydrodynamic modeling V. Hendrawan & D. Komori https://doi.org/10.1016/j.ijdrr.2021.102058
40. Estimation of flood losses to agricultural crops using remote sensing F. Tapia-Silva et al. https://doi.org/10.1016/j.pce.2011.03.005
41. Flood impacts on global crop production: advances and limitations W. Kim et al. https://doi.org/10.1088/1748-9326/accd85
42. Quantitative Agricultural Flood Risk Assessment Using Vulnerability Surface and Copula Functions Y. Wang et al. https://doi.org/10.3390/w10091229
43. The effects of the management of Lake Diefenbaker on downstream flooding K. Shook & J. Pomeroy https://doi.org/10.1080/07011784.2015.1092887
44. Crop flood damage assessment integrating Sentinel-2 imagery and in situ data: the 2023 Emilia-Romagna case F. Bocchino et al. https://doi.org/10.1016/j.rsase.2025.101852
45. Evaluation of the implications of ice‐jam flood mitigation measures A. Das & K. Lindenschmidt https://doi.org/10.1111/jfr3.12697
46. Crop type mapping using spectral–temporal profiles and phenological information S. Foerster et al. https://doi.org/10.1016/j.compag.2012.07.015
47. Process‐Based Flood Risk Assessment for Germany N. Sairam et al. https://doi.org/10.1029/2021EF002259
48. AGRIDE-c, a conceptual model for the estimation of flood damage to crops: development and implementation D. Molinari et al. https://doi.org/10.5194/nhess-19-2565-2019
49. Economic benefits of a rural distributed flood storage system A. Arenas et al. https://doi.org/10.1016/j.pdisas.2025.100422
50. TAŞKIN RİSKİNİN BELİRLENMESİNDE SOSYO-DEMOGROFİK VE SOSYO-EKONOMİK ÖZELLİKLERİN ÖNEMİ Ç. KAYA https://doi.org/10.35341/afet.417652
51. Evaluating the Effects of Inundation Duration and Velocity on Selection of Flood Management Alternatives Using Multi-Criteria Decision Making E. Ahmadisharaf et al. https://doi.org/10.1007/s11269-015-0956-4
52. Regional flood risk analysis for agricultural crops: Insights from the implementation of AGRIDE-c in central Italy A. Scorzini et al. https://doi.org/10.1016/j.ijdrr.2020.101999
53. Characterisation of Vegetation Response to Climate Change: A Review G. Afuye et al. https://doi.org/10.3390/su13137265
54. Review of flood disaster studies in Nepal: A remote sensing perspective T. Pangali Sharma et al. https://doi.org/10.1016/j.ijdrr.2018.11.022
55. Adaptive Operating Rules for Flood Control of a Multi-Purpose Reservoir R. Drobot et al. https://doi.org/10.3390/hydrology11090147
56. An agricultural flash flood loss estimation methodology: the case study of the Koiliaris basin (Greece), February 2003 flood A. Vozinaki et al. https://doi.org/10.1007/s11069-015-1882-8
57. 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
58. Living in the flood plain: Can financial inclusion, productive assets and coping mechanism help reduce food insecurity? A. Karki Nepal & N. Neupane https://doi.org/10.1016/j.envc.2021.100437
59. Improving flood damage assessment models in Italy M. Amadio et al. https://doi.org/10.1007/s11069-016-2286-0
60. Flood Risk Reduction from Agricultural Best Management Practices F. Antolini et al. https://doi.org/10.1111/1752-1688.12812
61. Development of flood damage functions for agricultural crops and their applicability in regions of Asia B. Shrestha et al. https://doi.org/10.1016/j.ejrh.2021.100872
62. Ex-Ante Flooding Damages’ Monetary Valuation Model for Productive and Environmental Resources V. Del Giudice et al. https://doi.org/10.3390/w16050665
63. A Vulnerability‐Based, Bottom‐up Assessment of Future Riverine Flood Risk Using a Modified Peaks‐Over‐Threshold Approach and a Physically Based Hydrologic Model J. Knighton et al. https://doi.org/10.1002/2017WR021036
64. Developing a multivariable lookup table function for estimating flood damages of rice crop in Vietnam using a secondary research approach N. Nguyen et al. https://doi.org/10.1016/j.ijdrr.2021.102208
65. Causes and effects of the catastrophic flooding on the Siret River (Romania) in July–August 2008 G. Romanescu & C. Stoleriu https://doi.org/10.1007/s11069-012-0525-6
66. Sustainability-Based Flood Hazard Mapping of the Swannanoa River Watershed E. Ahmadisharaf et al. https://doi.org/10.3390/su9101735
67. Estimating Flood Risk Impact on Farmland Values Using Boundary Discontinuity: Evidence from Lancaster County, Pennsylvania H. Wang https://doi.org/10.1111/risa.13623
68. Towards risk-based flood management in highly productive paddy rice cultivation – concept development and application to the Mekong Delta N. Triet et al. https://doi.org/10.5194/nhess-18-2859-2018
69. 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
70. Integrated Direct and Indirect Flood Risk Modeling: Development and Sensitivity Analysis E. Koks et al. https://doi.org/10.1111/risa.12300
71. Development of model for the estimation of direct flood damage including the movable property K. Zabret et al. https://doi.org/10.1111/jfr3.12255
72. Impacts of climate change on agricultural water management: a review X. Cai et al. https://doi.org/10.1002/wat2.1089
73. Exceptional floods on a developed river: case study for the Bistrita River from the Eastern Carpathians (Romania) G. Cojoc et al. https://doi.org/10.1007/s11069-014-1439-2
74. Hydrological hazard estimation for the municipality of Yautepec de Zaragoza, Morelos, Mexico E. Zúñiga & D. Novelo-Casanova https://doi.org/10.3390/hydrology6030077
75. Distributed hydrodynamic modelling for assessing flood impacts on crops: Assessing flood-resilient crop management in a coastal basin of central Italy T. Lucaora et al. https://doi.org/10.1016/j.agwat.2025.109352
76. A Review of Flood Loss Models as Basis for Harmonization and Benchmarking T. Gerl et al. https://doi.org/10.1371/journal.pone.0159791
77. A Theoretical Framework to Assess the Impact of Flooding on Dairy Cattle Farms: Identification of Direct Damage from an Animal Welfare Perspective A. Gaviglio et al. https://doi.org/10.3390/ani11061586
78. Social vulnerability correlates of flood risk to crops and buildings S. Asl et al. https://doi.org/10.1007/s11069-025-07137-y
79. Estimations of Crop Losses Due to Flood Using Multiple Sources of Information and Models: The Case Study of the Panaro River B. Monteleone et al. https://doi.org/10.3390/w15111980
80. Improving Flood Damage Assessment Models in Italy M. Amadio et al. https://doi.org/10.2139/ssrn.2716010
81. Unveiling Changes in the Seasonality of Extreme Precipitation Shows an Anticipation of Short-Duration Extremes D. Treppiedi et al. https://doi.org/10.1007/s41748-026-01178-4
82. Tourism Industry’s Vulnerability upon Risk of Flooding: The Aquis Querquennis Complex N. Araújo Vila et al. https://doi.org/10.3390/environments6120122
83. A new framework for flood damage assessment considering the within-event time evolution of hazard, exposure, and vulnerability T. Lazzarin et al. https://doi.org/10.1016/j.jhydrol.2022.128687
84. Investigating Flood Impact on Crop Production under a Comprehensive and Spatially Explicit Risk Evaluation Framework X. Wang et al. https://doi.org/10.3390/agriculture12040484
85. Non-Structural Flood Management in European Rural Mountain Areas—Are Scientists Supporting Implementation? F. Conitz et al. https://doi.org/10.3390/hydrology8040167
86. Toward an adequate level of detail in flood risk assessments T. Sieg et al. https://doi.org/10.1111/jfr3.12889
87. Process-based flood damage modelling relying on expert knowledge: a methodological contribution applied to the agricultural sector P. Brémond et al. https://doi.org/10.5194/nhess-22-3385-2022
88. Linking the interplay of resilience, vulnerability, and adaptation to long-term changes in metropolitan spaces for climate-related disaster risk management C. Hung et al. https://doi.org/10.1016/j.crm.2024.100618