38 citations as recorded by crossref.

1. The land morphology approach to flood risk mapping: An application to Portugal N. Cunha et al. 10.1016/j.jenvman.2017.01.077
2. Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques R. Costache et al. 10.3390/rs12010106
3. Understanding flood risk in urban environments: spatial analysis of building vulnerability and hazard areas in the Lisbon metropolitan area P. Santos et al. 10.1007/s11069-024-06731-w
4. Continental Portuguese Territory Flood Social Susceptibility Index N. Grosso et al. 10.5194/nhess-15-1921-2015
5. Terminology of natural hazards and disasters: A review and the case of Brazil B. Monte et al. 10.1016/j.ijdrr.2020.101970
6. Flood Susceptibility in the Lower Course of the Coyuca River, Mexico: A Multi-Criteria Decision Analysis Model J. Morales-Ruano et al. 10.3390/su141912544
7. Comparison of multi-criteria-analytical hierarchy process and machine learning-boosted tree models for regional flood susceptibility mapping: a case study from Slovakia M. Vojtek et al. 10.1080/19475705.2021.1912835
8. Pluvial flood susceptibility mapping for data-scarce urban areas using graph attention network and basic flood conditioning factors Z. Wang et al. 10.1080/10106049.2023.2275692
9. Flood Hazard Evaluation Using a Flood Potential Index N. Popescu & A. Bărbulescu 10.3390/w15203533
10. Developing flood mapping procedure through optimized machine learning techniques. Case study: Prahova river basin, Romania D. Diaconu et al. 10.1016/j.ejrh.2024.101892
11. Methods Used in Flood Susceptibility Mapping Ç. KAYA 10.48123/rsgis.1129606
12. Spatial Flood Forecasting Modeling under Lack of Data Using RS and Optimized Support Vector Machine: A Case Study of the Zahedan Watershed S. Mirkazemi et al. 10.1061/NHREFO.NHENG-1665
13. Mapping potential inundation areas due to riverine floods using ensemble models of credal decision tree with bagging, dagging, decorate, multiboost, and random subspace Z. Shen et al. 10.1016/j.asr.2023.09.012
14. Urban pluvial flood susceptibility mapping based on a novel explainable machine learning model with synchronous enhancement of fitting capability and explainability Z. Wang et al. 10.1016/j.jhydrol.2024.131903
15. GIS-Based Spatial and Multi-Criteria Assessment of Riverine Flood Potential: A Case Study of the Nitra River Basin, Slovakia M. Vojtek et al. 10.3390/ijgi10090578
16. Mapping flood and flooding potential indices: a methodological approach to identifying areas susceptible to flood and flooding risk. Case study: the Prahova catchment (Romania) L. Zaharia et al. 10.1007/s11707-017-0636-1
17. Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling? B. Pham et al. 10.1016/j.jhydrol.2020.125615
18. Riverine flood potential assessment at municipal level in Slovakia M. Vojtek et al. 10.1016/j.ejrh.2022.101170
19. Assessment of Social Vulnerability to Floods in the Floodplain of Northern Italy G. Roder et al. 10.1175/WCAS-D-16-0090.1
20. A flood susceptibility model at the national scale based on multicriteria analysis P. Santos et al. 10.1016/j.scitotenv.2019.02.328
21. Riverine flood potential assessment using metaheuristic hybrid machine learning algorithms M. Vojtek et al. 10.1111/jfr3.12905
22. Indicators for the assessment of social resilience in flood-affected communities – A text mining-based methodology R. Jacinto et al. 10.1016/j.scitotenv.2020.140973
23. Assessment of flood susceptible areas using spatially explicit, probabilistic multi-criteria decision analysis Z. Tang et al. 10.1016/j.jhydrol.2018.01.033
24. A GIS-Based Index of Physical Susceptibility to Flooding as a Tool for Flood Risk Management F. Miranda et al. 10.3390/land12071408
25. Flood Susceptibility Mapping on a National Scale in Slovakia Using the Analytical Hierarchy Process M. Vojtek & J. Vojteková 10.3390/w11020364
26. Parameters and methods used in flood susceptibility mapping: a review C. Kaya & L. Derin 10.2166/wcc.2023.035
27. Assessing the multidimensional nature of flood and drought vulnerability index: A systematic review of literature R. Dhawale et al. 10.1016/j.ijdrr.2024.104764
28. Comparison of statistical and analytical hierarchy process methods on flood susceptibility mapping: In a case study of the Lake Tana sub-basin in northwestern Ethiopia A. Wubalem et al. 10.1515/geo-2020-0329
29. Flood Hazard and Risk Mapping by Applying an Explainable Machine Learning Framework Using Satellite Imagery and GIS Data G. Antzoulatos et al. 10.3390/su14063251
30. A decision support system for territorial resilience assessment and planning: An application to the Douro Valley (Portugal) V. Assumma et al. 10.1016/j.scitotenv.2020.143806
31. Quantifying the flood risk index of the Malaysian “rice bowl” A. Anuar et al. 10.1016/j.ejrh.2023.101324
32. Development of a Flash Flood Confidence Index from Disaster Reports and Geophysical Susceptibility A. Kruczkiewicz et al. 10.3390/rs13142764
33. Flood susceptibility in rural settlements in remote zones: The case of a mountainous basin in the Sierra-Costa region of Michoacán, Mexico M. González-Arqueros et al. 10.1016/j.jenvman.2018.06.075
34. SoResilere—A Social Resilience Index Applied to Portuguese Flood Disaster-Affected Municipalities R. Jacinto et al. 10.3390/su15043309
35. Assessment of landslide susceptibility at a local spatial scale applying the multi-criteria analysis and GIS: a case study from Slovakia J. Vojteková & M. Vojtek 10.1080/19475705.2020.1713233
36. Incorporating probabilistic approach into local multi-criteria decision analysis for flood susceptibility assessment Z. Tang et al. 10.1007/s00477-017-1431-y
37. Comparing flood mortality in Portugal and Greece (Western and Eastern Mediterranean) S. Pereira et al. 10.1016/j.ijdrr.2017.03.007
38. Multi-criteria approach to develop flood susceptibility maps in arid regions of Middle East S. Mahmoud & T. Gan 10.1016/j.jclepro.2018.06.047