29 citations as recorded by crossref.

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5. Risk Assessment of Debris Flow at Regional Scale considering Catchment Area in Chuncheon, Korea G. Choi et al. 10.1007/s12205-021-0136-4
6. Debris and mud flows runout assessment: a comparison among empirical geometric equations in the Giampilieri and Briga basins (east Sicily, Italy) affected by the event of October 1, 2009 L. Falconi et al. 10.1007/s11069-023-05945-8
7. Evaluation and Validation of Landslide Spatial Susceptibility in the Western Ghats of Kerala, through GIS-based Weights of Evidence Model and Area under Curve Technique V. Prasannakumar & H. Vijith 10.1007/s12594-012-0171-3
8. Parameter Analysis of Flow-R Model for Physical Vulnerability Assessment of Debris Flow Disaster in Regional Scale H. Kang & Y. Kim 10.9798/KOSHAM.2017.17.4.233
9. Landslide susceptibility mapping based on triggering factors using a multi-modal approach R. Kaafarani et al. 10.1051/matecconf/201928102002
10. Mapping of hazard from rainfall-triggered landslides in developing countries: Examples from Honduras and Micronesia E. Harp et al. 10.1016/j.enggeo.2008.11.010
11. Tree-ring based record of intra-eruptive lahar activity: Axaltzintle valley, Malinche volcano, Mexico O. Franco-Ramos et al. 10.1515/geochr-2015-0033
12. Combining data-driven models to assess susceptibility of shallow slides failure and run-out R. Melo et al. 10.1007/s10346-019-01235-2
13. Reconstruction of debris-flow activity in a temperate mountain forest catchment of central Mexico O. Franco-Ramos et al. 10.1007/s11629-019-5496-6
14. Numerical Modeling of Flow Patterns Applied to Analysis of Susceptibility to Movements of the Ground M. Cando Jácome & A. Martínez-Graña 10.3390/geosciences8090340
15. Development of an urban landslide cellular automata model: a case study of North Vancouver, Canada T. Lai & S. Dragićević 10.1007/s12145-011-0078-3
16. Rainfall-Induced Shallow Landslide Detachment, Transit and Runout Susceptibility Mapping by Integrating Machine Learning Techniques and GIS-Based Approaches M. Di Napoli et al. 10.3390/w13040488
17. Modeling debris flow initiation and run-out in recently burned areas using data-driven methods R. Melo & J. Zêzere 10.1007/s11069-017-2921-4
18. A GIS-Based Approach for Shallow Landslides Risk Assessment in the Giampilieri and Briga Catchments Areas (Sicily, Italy) G. Vegliante et al. 10.3390/geohazards5010011
19. Estimating the topographic predictability of debris flows N. Meyer et al. 10.1016/j.geomorph.2013.10.030
20. Geometric approach based tool for shallow landslides propagation assessment (ShaLPA) at basin scale L. Falconi et al. 10.1016/j.envsoft.2025.106512
21. Curvature derived from LiDAR digital elevation models as simple indicators of debris-flow susceptibility A. Nonomura et al. 10.1007/s11629-018-5098-8
22. Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale P. Horton et al. 10.5194/nhess-13-869-2013
23. Debris flow susceptibility assessment based on an empirical approach in the central region of South Korea S. Kang & S. Lee 10.1016/j.geomorph.2018.01.025
24. Assessment of exposed elements in a changing built environment by using an integrated model of debris flow initiation and runout (Kalimpong region, Himalaya) S. Bera et al. 10.1007/s10064-021-02352-w
25. Assessment of rainfall-generated shallow landslide/debris-flow susceptibility and runout using a GIS-based approach: application to western Southern Alps of New Zealand T. Kritikos & T. Davies 10.1007/s10346-014-0533-6
26. Earth Observation and GIS-Based Analysis for Landslide Susceptibility and Risk Assessment E. Psomiadis et al. 10.3390/ijgi9090552
27. Using tree-ring analysis to evaluate intra-eruptive lahar activity in the Nexpayantla Gorge, Popocatépetl volcano (central Mexico) O. Franco-Ramos et al. 10.1016/j.catena.2016.06.045
28. A review of recent studies on landslide hazard in Latin America A. Valdés Carrera et al. 10.1080/02723646.2021.1978372
29. Spatial model integration for shallow landslide susceptibility and its runout using a GIS-based approach in Yongin, Korea A. Pradhan et al. 10.1080/10106049.2016.1155658