65 citations as recorded by crossref.

1. Recent damaging events on alluvial fans along a stretch of the Tyrrhenian coast of Calabria (southern Italy) L. Antronico et al. https://doi.org/10.1007/s10064-016-0922-2
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4. Multi-hazard could exacerbate in coastal Bangladesh in the context of climate change M. Rahman et al. https://doi.org/10.1016/j.jclepro.2024.142289
5. Flood susceptibility mapping of Kathmandu metropolitan city using GIS-based multi-criteria decision analysis D. Chaulagain et al. https://doi.org/10.1016/j.ecolind.2023.110653
6. Continental Portuguese Territory Flood Susceptibility Index – contribution to a vulnerability index R. Jacinto et al. https://doi.org/10.5194/nhess-15-1907-2015
7. Assessment of flood susceptible areas using spatially explicit, probabilistic multi-criteria decision analysis Z. Tang et al. https://doi.org/10.1016/j.jhydrol.2018.01.033
8. Post flash flood survey: the 14th and 15th October 2015 event in the Paupisi-Solopaca area (Southern Italy) A. Santo et al. https://doi.org/10.1080/17445647.2016.1249034
9. Quantitative and semi-quantitative methods in flood hazard/susceptibility mapping: a review R. Mudashiru et al. https://doi.org/10.1007/s12517-021-07263-4
10. Urban Flood Susceptibility Mapping Using GIS and Analytical Hierarchy Process: Case of City of Uvira, Democratic Republic of Congo I. Bishikwabo et al. https://doi.org/10.3390/geohazards6030038
11. Reevaluating flood protection: disaster risk reduction for urbanized alluvial fans T. Grodek & G. Benito https://doi.org/10.5194/nhess-25-4343-2025
12. Incorporating probabilistic approach into local multi-criteria decision analysis for flood susceptibility assessment Z. Tang et al. https://doi.org/10.1007/s00477-017-1431-y
13. Hydrological model of landslide risk in Huai Nam Phung subbasin, Thailand R. Chansorn et al. https://doi.org/10.1007/s10064-023-03146-y
14. GIS-based flood susceptibility analysis using multi-parametric approach of analytical hierarchy process in Majuli Island, Assam, India R. Shah & R. Shah https://doi.org/10.1007/s40899-023-00924-0
15. A Quantitative Evaluation of Hyperpycnal Flow Occurrence in a Temperate Coastal Zone: The Example of the Salerno Gulf (Southern Italy) I. Alberico & F. Budillon https://doi.org/10.3390/geosciences9120501
16. Mapping Coastal Flood Susceptible Areas Using Shannon’s Entropy Model: The Case of Muscat Governorate, Oman H. Al-Hinai & R. Abdalla https://doi.org/10.3390/ijgi10040252
17. A GIS-based procedure for preliminary mapping of pluvial flood risk at metropolitan scale C. Di Salvo et al. https://doi.org/10.1016/j.envsoft.2018.05.020
18. Flood Susceptibility Mapping through the GIS-AHP Technique Using the Cloud K. Swain et al. https://doi.org/10.3390/ijgi9120720
19. Flash flood susceptibility modelling using geomorphometric approach in the Ushairy Basin, eastern Hindu Kush S. Mahmood & A. Rahman https://doi.org/10.1007/s12040-019-1111-z
20. Heavy Rainfall Events and Mass Movements in the Funchal Area (Madeira, Portugal): Spatial Analysis and Susceptibility Assessment S. Lopes et al. https://doi.org/10.3390/atmos11010104
21. Taşkın duyarlılık analizinde kullanılan parametreler üzerine bir değerlendirme İ. KUŞCU & H. ÖZDEMİR https://doi.org/10.17211/tcd.1345962
22. Flash flood susceptibility modeling using geo-morphometric and hydrological approaches in Panjkora Basin, Eastern Hindu Kush, Pakistan S. Mahmood & A. Rahman https://doi.org/10.1007/s12665-018-8041-y
23. Flash flooding in semiarid alluvial fan apron systems: a holistic approach to hazard assessment in the Menor Sea Basins (Spain) F. Muñoz-López et al. https://doi.org/10.1007/s11069-026-08174-x
24. Spatial prediction of flood-prone areas using geographically weighted regression J. Lin & L. Billa https://doi.org/10.1016/j.envadv.2021.100118
25. Exploring the additional value of class imbalance distributions on interpretable flash flood susceptibility prediction in the Black Warrior River basin, Alabama, United States Ö. Ekmekcioğlu et al. https://doi.org/10.1016/j.jhydrol.2022.127877
26. Multi-criteria decision-making for flood risk management: a survey of the current state of the art M. de Brito & M. Evers https://doi.org/10.5194/nhess-16-1019-2016
27. Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm Y. Wang et al. https://doi.org/10.1016/j.jenvman.2019.06.102
28. GIS-Based Spatial and Multi-Criteria Assessment of Riverine Flood Potential: A Case Study of the Nitra River Basin, Slovakia M. Vojtek et al. https://doi.org/10.3390/ijgi10090578
29. Flood Hazard Mapping in Alluvial Fans with Computational Modeling S. Vasconcellos et al. https://doi.org/10.1007/s11269-021-02794-7
30. Flash Flood Susceptibility Modeling and Magnitude Index Using Machine Learning and Geohydrological Models: A Modified Hybrid Approach S. Elmahdy et al. https://doi.org/10.3390/rs12172695
31. Morphometric analysis of low mountains for mapping flash flood susceptibility in headwaters B. Víg et al. https://doi.org/10.1007/s11069-022-05513-6
32. A new approach to flood susceptibility analysis of urbanised alluvial fans: the case of Bursa City (Türkiye) F. Corapci & H. Ozdemir https://doi.org/10.1007/s11069-024-06723-w
33. River flooding in a changing climate: rainfall-discharge trends, controlling factors, and susceptibility mapping for the Mahi catchment, Western India S. Das & G. Scaringi https://doi.org/10.1007/s11069-021-04927-y
34. A Survey of Remote Sensing and Geographic Information System Applications for Flash Floods L. Ding et al. https://doi.org/10.3390/rs13091818
35. Flood vulnerability map of the Bagmati River basin, Nepal: a comparative approach of the analytical hierarchy process and frequency ratio model S. Malla & K. Ohgushi https://doi.org/10.1007/s44268-024-00041-7
36. A database on flash flood events in Campania, southern Italy, with an evaluation of their spatial and temporal distribution C. Vennari et al. https://doi.org/10.5194/nhess-16-2485-2016
37. Evaluation of sediment budgets in catchments prone to flash flood-related debris flows: A case study from the southern Apennines (Italy) M. Palumbo et al. https://doi.org/10.1016/j.geomorph.2024.109174
38. Short-term evolution of an active basin–fan system, Aspromonte, south Italy L. Antronico et al. https://doi.org/10.1016/j.geomorph.2014.10.013
39. Advancing tropical flood susceptibility mapping with multi-head attention mechanism and deep learning models A. Saleh et al. https://doi.org/10.1016/j.asr.2025.07.022
40. Morphometry and Debris-Flow Susceptibility Map in Mountain Drainage Basins of the Vallo di Diano, Southern Italy S. Giano et al. https://doi.org/10.3390/rs13163254
41. Topographic predictors of susceptibility to alluvial fan flooding, Southern Apennines N. Santangelo et al. https://doi.org/10.1002/esp.3197
42. Flood Susceptibility Assessment for Improving the Resilience Capacity of Railway Infrastructure Networks G. Varra et al. https://doi.org/10.3390/w16182592
43. A new hybrid equilibrium optimized SysFor based geospatial data mining for tropical storm-induced flash flood susceptible mapping P. Ngo et al. https://doi.org/10.1016/j.jenvman.2020.111858
44. Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania R. Costache & D. Tien Bui https://doi.org/10.1016/j.scitotenv.2019.07.197
45. Flash Flood Susceptibility Modelling: A Review A. Saleh et al. https://doi.org/10.1088/1757-899X/712/1/012005
46. On the use of explainable AI for susceptibility modeling: Examining the spatial pattern of SHAP values N. Wang et al. https://doi.org/10.1016/j.gsf.2024.101800
47. Flood Susceptibility Mapping on a National Scale in Slovakia Using the Analytical Hierarchy Process M. Vojtek & J. Vojteková https://doi.org/10.3390/w11020364
48. Flood subsidence susceptibility mapping using persistent scatterer SAR interferometry technique coupled with novel metaheuristic approaches from Jeddah, Saudi Arabia S. Abba et al. https://doi.org/10.1007/s00521-024-09909-2
49. Flood susceptibility analysis of settlement basins on a provincial scale using inventory flood data İ. Kuşcu & H. Ozdemir https://doi.org/10.1007/s12665-024-11988-2
50. Delineating potential sites for Natech due to climate change in the Selangor River Basin, Malaysia N. Yahaya et al. https://doi.org/10.1088/2515-7620/ada1ab
51. Grid edge classification method to enhance levee resolution in dual-grid flood inundation models D. Kahl et al. https://doi.org/10.1016/j.advwatres.2022.104287
52. Multiscale map analysis in alluvial fan flood-prone areas V. Scorpio et al. https://doi.org/10.1080/17445647.2015.1027155
53. Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution H. Hong et al. https://doi.org/10.1016/j.scitotenv.2017.10.114
54. Generation of a flood susceptibility map of evenly weighted conditioning factors for Hungary N. Sarkadi et al. https://doi.org/10.5937/gp26-38969
55. Use of machine learning algorithms to assess flood susceptibility in the coastal area of Bangladesh M. Hasan et al. https://doi.org/10.1016/j.ocecoaman.2023.106503
56. Developing Robust Flood Susceptibility Model with Small Numbers of Parameters in Highly Fertile Regions of Northwest Bangladesh for Sustainable Flood and Agriculture Management S. Sarkar et al. https://doi.org/10.3390/su14073982
57. Assessment of flood susceptibility prediction based on optimized tree-based machine learning models S. Eslaminezhad et al. https://doi.org/10.2166/wcc.2022.435
58. Flash flood occurrence and magnitude assessment in an alluvial fan context: the October 2011 event in the Southern Apennines A. Santo et al. https://doi.org/10.1007/s11069-015-1728-4
59. Geology and geomorphology of alluvial and fluvial fans: current progress and research perspectives D. Ventra & L. Clarke https://doi.org/10.1144/SP440.16
60. Application and comparison of multiple machine learning models in flood susceptibility assessment in the Beijing-Tianjin-Hebei region of China H. Li et al. https://doi.org/10.3389/frwa.2026.1767400
61. How do stream processes affect hazard exposure on alluvial fans? Insights from an experimental study B. Mazzorana et al. https://doi.org/10.1007/s11629-019-5788-x
62. A novel hybrid approach to flood susceptibility assessment based on machine learning and land use change. Case study: a river watershed in Vietnam H. Nguyen et al. https://doi.org/10.1080/02626667.2022.2060108
63. A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches T. Islam et al. https://doi.org/10.3390/rs17030524
64. Flood Susceptibility Assessment of Dibang Valley District of Arunachal Pradesh, India: A GIS based Analytic Hierarchy Process Approach R. Shah et al. https://doi.org/10.1007/s41976-025-00232-5
65. Dinámica distributiva de flujos bifásicos con carga de madera en un abanico aluvial experimental N. Santibañez et al. https://doi.org/10.4995/ia.2021.14703