19 citations as recorded by crossref.

1. Comparison of Debris Flow Modeling Results with Empirical Formulas Applied to Russian Mountains Areas V. Kurovskaia et al. https://doi.org/10.4236/ojg.2020.101005
2. A new monitoring station for debris flows in the European Alps: first observations in the Gadria basin F. Comiti et al. https://doi.org/10.1007/s11069-014-1088-5
3. Estimating the size and travel distance of Klapperhorn Mountain debris flows for risk analysis along railway, Canada H. LAN et al. https://doi.org/10.1016/S1001-6279(08)60025-6
4. Learning Debris Flow Dynamics with a Deep Learning Fourier Neural Operator: Application to the Rendinara–Morino Area M. Secchi et al. https://doi.org/10.3390/geosciences16020055
5. Artificial Intelligence for Learning 2D Debris-Flow Dynamics: Application of Fourier Neural Operators and Synthetic Data to a Case Study in Central Italy M. Secchi et al. https://doi.org/10.3390/land15050759
6. Reconstruction of a destructive debris‐flow event via numerical modeling: the role of valley geometry on flow dynamics L. Schilirò et al. https://doi.org/10.1002/esp.3762
7. Enhancing debris flow simulation accuracy through high-resolution terrain information: a case study utilizing LS-RAPID and UAV-derived models N. Kim & B. Jun https://doi.org/10.1007/s10346-024-02290-0
8. Applicability of Kinematic and Diffusive models for mud-flows: a steady state analysis C. Di Cristo et al. https://doi.org/10.1016/j.jhydrol.2018.02.016
9. Combining Spatial Models for Shallow Landslides and Debris-Flows Prediction R. Gomes et al. https://doi.org/10.3390/rs5052219
10. Calculation of unsteady water movement during flood control T. Vinogradova et al. https://doi.org/10.1088/1755-1315/321/1/012019
11. Modelling landslides in the Lesser Himalaya region using geospatial and numerical simulation techniques M. Islam & S. Chattoraj https://doi.org/10.1007/s12517-023-11541-8
12. Processing the ground vibration signal produced by debris flows: the methods of amplitude and impulses compared M. Arattano et al. https://doi.org/10.1016/j.cageo.2014.08.005
13. Probabilistic Analysis of Floods from Tailings Dam Failures: A Method to Analyze the Impact of Rheological Parameters on the HEC-RAS Bingham and Herschel-Bulkley Models M. Melo & J. Eleutério https://doi.org/10.3390/w15162866
14. Geotechnical and rheological characteristics of waste rock deposits influencing potential debris flow occurrence at the abandoned Imgi Mine, Korea S. Jeong https://doi.org/10.1007/s12665-014-3991-1
15. Methods of Data Processing for Debris Flow Seismic Warning M. ARATTANO et al. https://doi.org/10.13101/ijece.9.114
16. Sensitivity and identifiability of rheological parameters in debris flow modeling G. Zegers et al. https://doi.org/10.5194/nhess-20-1919-2020
17. Numerical modeling of subaerial and submarine landslide-generated tsunami waves—recent advances and future challenges S. Yavari-Ramshe & B. Ataie-Ashtiani https://doi.org/10.1007/s10346-016-0734-2
18. Some exact solutions for debris and avalanche flows S. Pudasaini https://doi.org/10.1063/1.3570532
19. Applicability of Kinematic model for mud-flows: An unsteady analysis C. Di Cristo et al. https://doi.org/10.1016/j.jhydrol.2019.123967