34 citations as recorded by crossref.

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4. The RUSLE erosion index as a proxy indicator for debris flow susceptibility A. Zini et al. https://doi.org/10.1007/s10346-014-0515-8
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6. A test of transferability for landslides susceptibility models under extreme climatic events: application to the Messina 2009 disaster L. Lombardo et al. https://doi.org/10.1007/s11069-014-1285-2
7. A Clustering-Based Bubble Method for Generating High-Quality Tetrahedral Meshes of Geological Models B. Wang et al. https://doi.org/10.3390/app10155292
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11. 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
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13. First results derived from a drop-tower testing system for granular flow in a microgravity environment Y. Huang & W. Mao https://doi.org/10.1007/s10346-013-0403-7
14. A combined triggering-propagation modeling approach for the assessment of rainfall induced debris flow susceptibility L. Stancanelli et al. https://doi.org/10.1016/j.jhydrol.2017.04.038
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16. 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. https://doi.org/10.1007/s11069-023-05945-8
17. Risk Assessment of Geological Hazards in Dawukou, Shizuishan City Based on the Information Value Model Y. Gong et al. https://doi.org/10.3390/su17135990
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23. Effects of loose deposits on debris flow processes in the Aizi Valley, southwest China M. Liu et al. https://doi.org/10.1007/s11629-019-5388-9
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26. Evaluation of highway debris flow hazard based on geomorphic evolution theory coupled with material response rate N. He et al. https://doi.org/10.1038/s41598-024-64279-y
27. Presence-only approach to assess landslide triggering-thickness susceptibility: a test for the Mili catchment (north-eastern Sicily, Italy) L. Lombardo et al. https://doi.org/10.1007/s11069-016-2443-5
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34. Terraced landscapes: risk and liability G. Delogu et al. https://doi.org/10.4081/jae.2024.1618