24 citations as recorded by crossref.

1. Winter–Spring Prediction of Snow Avalanche Susceptibility Using Optimisation Multi-Source Heterogeneous Factors in the Western Tianshan Mountains, China J. Yang et al. https://doi.org/10.3390/rs14061340
2. Investigation of the Regularities of the Influence of Meteorological Factors on Avalanches in Eastern Kazakhstan M. Rakhymberdina et al. https://doi.org/10.3390/atmos16060723
3. Nonlinear analog predictor analysis: A coupled neural network/analog model for climate downscaling A. Cannon https://doi.org/10.1016/j.neunet.2007.04.002
4. 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
5. Snow and weather climatic control on snow avalanche occurrence fluctuations over 50 yr in the French Alps H. Castebrunet et al. https://doi.org/10.5194/cp-8-855-2012
6. Combining modelled snowpack stability with machine learning to predict avalanche activity L. Viallon-Galinier et al. https://doi.org/10.5194/tc-17-2245-2023
7. Prevention and Defense Technologies for Natural Disasters: A Review H. Gao et al. https://doi.org/10.63221/eies.v1i01.17-32
8. A novel approach to accelerate calibration process of a k-nearest neighbours classifier using GPU A. Singh et al. https://doi.org/10.1016/j.jpdc.2017.01.003
9. Calibration of nearest neighbors model for avalanche forecasting A. Singh et al. https://doi.org/10.1016/j.coldregions.2014.09.009
10. Climate change impacts on snow avalanche activity and related risks N. Eckert et al. https://doi.org/10.1038/s43017-024-00540-2
11. Forecasting artificially-triggered avalanches in storm snow at a large ski area E. Bair https://doi.org/10.1016/j.coldregions.2012.10.003
12. Quantitative risk and optimal design approaches in the snow avalanche field: Review and extensions N. Eckert et al. https://doi.org/10.1016/j.coldregions.2012.03.003
13. A decision support tool for dry persistent deep slab avalanches for the transitional snow climate of western Canada M. Conlan & B. Jamieson https://doi.org/10.1016/j.coldregions.2017.06.013
14. A spatio-temporal modelling framework for assessing the fluctuations of avalanche occurrence resulting from climate change: application to 60 years of data in the northern French Alps N. Eckert et al. https://doi.org/10.1007/s10584-009-9718-8
15. Extreme avalanche cycles: Return levels and probability distributions depending on snow and meteorological conditions G. Evin et al. https://doi.org/10.1016/j.wace.2021.100344
16. Cross-comparison of meteorological and avalanche data for characterising avalanche cycles: The example of December 2008 in the eastern part of the French Alps N. Eckert et al. https://doi.org/10.1016/j.coldregions.2010.08.009
17. Assessing the Response of Snow Avalanche Runout Altitudes to Climate Fluctuations Using Hierarchical Modeling: Application to 61 Winters of Data in France N. Eckert et al. https://doi.org/10.1175/2010JCLI3312.1
18. Methodological and conceptual challenges in rare and severe event forecast verification P. Ebert & P. Milne https://doi.org/10.5194/nhess-22-539-2022
19. 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
20. Snow-avalanche hazard assessment based on dendrogeomorphic reconstructions and classification tree algorithms for ski area development, Parâng Mountains, Romania D. Germain et al. https://doi.org/10.1016/j.coldregions.2022.103612
21. Temporal trends in avalanche activity in the French Alps and subregions: from occurrences and runout altitudes to unsteady return periods N. Eckert et al. https://doi.org/10.3189/2013JoG12J091
22. Probability models to convert snowpack stability into the number of dry-snow avalanches in North Japan Y. Katsuyama et al. https://doi.org/10.1016/j.coldregions.2025.104480
23. Application of Artificial Intelligence in the Assessment and Forecast of Avalanche Danger in the Ile Alatau Ridge V. Blagovechshenskiy et al. https://doi.org/10.3390/w15071438
24. 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