32 citations as recorded by crossref.

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9. Support Vector Machines for Landslide Susceptibility Mapping: The Staffora River Basin Case Study, Italy C. Ballabio & S. Sterlacchini https://doi.org/10.1007/s11004-011-9379-9
10. Application of Hidden Markov Model for avalanche danger simulations for road sectors in North-West Himalaya J. Joshi et al. https://doi.org/10.1007/s11069-018-3343-7
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14. A multi-model decision support system (MM-DSS) for avalanche hazard prediction over North-West Himalaya P. Kaur et al. https://doi.org/10.1007/s11069-021-04958-5
15. Predicting Future Built-Up Land Cover from a Yearly Time Series of Satellite-Derived Binary Urban Maps F. O’Neill et al. https://doi.org/10.3390/land14081630
16. Gully Erosion Susceptibility Mapping Using Multivariate Adaptive Regression Splines—Replications and Sample Size Scenarios N. Javidan et al. https://doi.org/10.3390/w11112319
17. Acceleration of the Gradenbach-Eggerberg rock slope deformation A. Hormes et al. https://doi.org/10.1186/s40677-025-00344-6
18. Selection of Significant Features for Snow Avalanche Forecasting K. Kaushik et al. https://doi.org/10.1007/s10666-025-10061-x
19. Avalanche Susceptibility Mapping with Explainable Machine Learning: A Case Study of the Kanas Scenic Transportation Corridor in the Altay Mountains, China Y. Li et al. https://doi.org/10.3390/app152111631
20. Parameter importance assessment improves efficacy of machine learning methods for predicting snow avalanche sites in Leh-Manali Highway, India A. Tiwari et al. https://doi.org/10.1016/j.scitotenv.2021.148738
21. Estimating the danger of snow avalanches with a machine learning approach using a comprehensive snow cover model R. Fromm & C. Schönberger https://doi.org/10.1016/j.mlwa.2022.100405
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23. Addressing class imbalance in avalanche forecasting M. Kala et al. https://doi.org/10.1016/j.coldregions.2024.104411
24. Outlier Detection for Observational Data of Automatic Meteorological Station Based on Least Square Support Vector Machine Z. Meng et al. https://doi.org/10.4028/www.scientific.net/AMM.295-298.945
25. Fine assessment of tropical cyclone disasters based on GIS and SVM in Zhejiang Province, China W. Lou et al. https://doi.org/10.1007/s11069-012-0254-x
26. Combining random forests and class-balancing to discriminate between three classes of avalanche activity in the French Alps P. Dkengne Sielenou et al. https://doi.org/10.1016/j.coldregions.2021.103276
27. Heterogeneous Space–Time Artificial Neural Networks for Space–Time Series Prediction M. Deng et al. https://doi.org/10.1111/tgis.12302
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