24 citations as recorded by crossref.

1. GIS-based assessment of debris flow hazards in Kulekhani Watershed, Nepal B. Paudel et al. https://doi.org/10.1007/s11069-020-03867-3
2. Numerical simulation of debris-flow behavior incorporating a dynamic method for estimating the entrainment Z. Han et al. https://doi.org/10.1016/j.enggeo.2015.02.009
3. GIS-based numerical modelling of debris flow motion across three-dimensional terrain J. Wu et al. https://doi.org/10.1007/s11629-013-2486-y
4. A Study on the Debris Flow Hazard Mapping Method using SINMAP and FLO-2D T. Kim et al. https://doi.org/10.7319/kogsis.2016.24.2.015
5. Análisis descriptivos de procesos de remoción en masa en Bogotá A. Ramos et al. https://doi.org/10.4067/S0718-28132015000200006
6. Runout Characteristics and Grain Size Distribution of Large-scale Debris Flows Triggered by Deep Catastrophic Landslides Y. NISHIGUCHI et al. https://doi.org/10.13101/ijece.5.16
7. An integrated method for rapid estimation of the valley incision by debris flows Z. Han et al. https://doi.org/10.1016/j.enggeo.2017.11.007
8. Prediction of debris flow initiation points using high resolution DEM and GIS analysis in South Korea T. Kim et al. https://doi.org/10.1007/s42452-024-05652-4
9. Uncertainty of debris flow mobility relationships and its influence on the prediction of inundated areas A. Simoni et al. https://doi.org/10.1016/j.geomorph.2011.05.013
10. Assessing entrainment of bed material in a debris‐flow event: a theoretical approach incorporating Monte Carlo method Z. Han et al. https://doi.org/10.1002/esp.3766
11. A Virtual Geographic Environment for Debris Flow Risk Analysis in Residential Areas L. Yin et al. https://doi.org/10.3390/ijgi6110377
12. Growth and potential collapse of the lava dome in Unzen volcano and the estimation on block-and-ash flows X. Shi et al. https://doi.org/10.1007/s12303-017-0051-3
13. A new coupled depth-integrated model incorporating 3D DDA on debris flow with large boulders P. Yu et al. https://doi.org/10.1016/j.ijrmms.2023.105496
14. Exploring the velocity distribution of debris flows: An iteration algorithm based approach for complex cross-sections Z. Han et al. https://doi.org/10.1016/j.geomorph.2015.03.043
15. Modelación matemática para flujos de material desagregado A. Ramos et al. https://doi.org/10.25054/22161325.776
16. Vulnerability of buildings to debris flow impact M. Jakob et al. https://doi.org/10.1007/s11069-011-0007-2
17. Assessment of debris flow risk according to damage type H. Nakamoto et al. https://doi.org/10.1007/s44367-025-00005-3
18. Gis-Based Assessment of Debris Flow Runout in Kulekhani Watershed, Nepal B. Paudel et al. https://doi.org/10.1007/s10706-020-01655-1
19. Volume estimation of small scale debris flows based on observations of topographic changes using airborne LiDAR DEMs H. Kim et al. https://doi.org/10.1007/s11629-013-2829-8
20. Numerical modeling of debris flows using basic equations in generalized curvilinear coordinate system and its application to debris flows in Kinryu River Basin in Saga City, Japan H. Takebayashi et al. https://doi.org/10.1016/j.jhydrol.2022.128636
21. A Web Service ecosystem for high-quality, cost-effective debris-flow hazard assessment G. Rosatti et al. https://doi.org/10.1016/j.envsoft.2017.11.017
22. Numerical Simulation of a Debris Flow on the Basis of a Two-Dimensional Continuum Body Model H. Takebayashi & M. Fujita https://doi.org/10.3390/geosciences10020045
23. Numerical simulation of snow avalanches using a continuum body model considering development and decrescence processes H. TAKEBAYASHI et al. https://doi.org/10.5331/seppyo.84.4_283
24. A GIS-Based Framework for Real-Time Debris-Flow Hazard Assessment for Expressways in Korea H. Kim et al. https://doi.org/10.1007/s13753-016-0096-3