20 citations as recorded by crossref.

1. Channel flow simulation of a mixture with a full-dimensional generalized quasi two-phase model K. Khattri & S. Pudasaini https://doi.org/10.1016/j.matcom.2019.03.014
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3. Data-driven ensemble model for probabilistic prediction of debris-flow volume using Bayesian model averaging M. Tian et al. https://doi.org/10.1007/s10064-022-03050-x
4. GIS-based cell model for simulating debris flow runout on a fan C. Gregoretti et al. https://doi.org/10.1016/j.jhydrol.2015.12.054
5. Application of Sensitivity Analysis for Process Model Calibration of Natural Hazards C. Chow et al. https://doi.org/10.3390/geosciences8060218
6. Evaluation of different erosion–entrainment models in debris-flow simulation S. Lee et al. https://doi.org/10.1007/s10346-022-01901-y
7. Impact of Debris Flows on Filter Barriers: Analysis Based on Site Monitoring Data A. Leonardi et al. https://doi.org/10.2113/EEG-D-20-00013
8. Field characterisation and numerical modelling of debris avalanche runout on Vancouver Island, British Columbia, Canada M. Brideau et al. https://doi.org/10.1007/s10346-019-01141-7
9. Saint-Venant Equations and Friction Law for Modelling Self-Channeling Granular Flows: From Analogue to Numerical Simulation C. Longchamp et al. https://doi.org/10.4236/am.2015.67106
10. Bayesian Probabilistic Approaches for Developing the Empirical Model for Debris-Flow Sediment Volume Using Limited Site Investigation Data M. Tian et al. https://doi.org/10.1061/NHREFO.NHENG-1826
11. Post-wildfire debris flow in the Northwestern Italian Alps: description and numerical analysis of the June 2018 Bussoleno event G. La Porta et al. https://doi.org/10.1007/s10346-025-02605-9
12. Probabilistic assessment of postfire debris-flow inundation in response to forecast rainfall A. Prescott et al. https://doi.org/10.5194/nhess-24-2359-2024
13. Evaluation concepts to compare observed and simulated deposition areas of mass movements M. Heiser et al. https://doi.org/10.1007/s10596-016-9609-9
14. Comparing thixotropic and Herschel–Bulkley parameterizations for continuum models of avalanches and subaqueous debris flows C. Jeon & B. Hodges https://doi.org/10.5194/nhess-18-303-2018
15. Copula‐Based Probabilistic Hazard Assessment Model for Debris Flow Considering the Uncertainties of Multiple Influencing Factors M. Tian et al. https://doi.org/10.1155/2024/6554818
16. Multi-metric optimization of Mohr–Coulomb parameters in SPH granular flow simulation D. Park et al. https://doi.org/10.1016/j.enggeo.2026.109127
17. Landslide prediction, monitoring and early warning: a concise review of state-of-the-art B. Chae et al. https://doi.org/10.1007/s12303-017-0034-4
18. Relevance of erosion processes when modelling in-channel gravel debris flows for efficient hazard assessment C. Gregoretti et al. https://doi.org/10.1016/j.jhydrol.2018.10.001
19. A method to develop the input parameter database for site-specific debris flow hazard prediction under extreme rainfall N. Vasu et al. https://doi.org/10.1007/s10346-018-0971-7
20. Full-Flowfield Inversion of Debris-Flow Dynamics: A Global–Local Optimization Framework for Model Parameter Estimation from Final Accumulation Fields M. Secchi et al. https://doi.org/10.3390/geosciences16090378