95 citations as recorded by crossref.

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40. Avalanche hazard mitigation in east Karakoram mountains A. Singh et al. https://doi.org/10.1007/s11069-020-04329-6
41. Application of remote sensing techniques and machine learning algorithms in dust source detection and dust source susceptibility mapping M. Boroughani et al. https://doi.org/10.1016/j.ecoinf.2020.101059
42. Ice Aprons in the Mont Blanc Massif (Western European Alps): Topographic Characteristics and Relations with Glaciers and Other Types of Perennial Surface Ice Features S. Kaushik et al. https://doi.org/10.3390/rs14215557
43. GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia U. Durlević et al. https://doi.org/10.3390/atmos13081229
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46. Snow avalanche susceptibility assessment based on ensemble machine learning model in the central Shaluli Mountain R. Bian et al. https://doi.org/10.3389/feart.2022.880711
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48. Accuracy assessment of the global TanDEM-X digital elevation model in a mountain environment K. Gdulová et al. https://doi.org/10.1016/j.rse.2020.111724
49. A method for automated snow avalanche debris detection through use of synthetic aperture radar (SAR) imaging H. Vickers et al. https://doi.org/10.1002/2016EA000168
50. Large-ensemble climate simulations to assess changes in snow stability over northern Japan Y. Katsuyama et al. https://doi.org/10.1017/jog.2022.85
51. Evaluation of afforestations for avalanche protection with orthoimages using the random forest algorithm T. Grätz et al. https://doi.org/10.1007/s10342-023-01640-2
52. Avalanche situation in Turkey and back calculation of selected events A. Aydin et al. https://doi.org/10.5194/nhess-14-1145-2014
53. Multiscale analysis of surface roughness for the improvement of natural hazard modelling N. Brožová et al. https://doi.org/10.5194/nhess-21-3539-2021
54. Snow avalanche hazard of the Krkonoše National Park, Czech Republic J. Blahut et al. https://doi.org/10.1080/17445647.2016.1262794
55. Assessing the interaction between mountain forests and snow avalanches at Nevados de Chillán, Chile and its implications for ecosystem-based disaster risk reduction A. Casteller et al. https://doi.org/10.5194/nhess-18-1173-2018
56. Coupling Different Machine Learning and Meta-Heuristic Optimization Techniques to Generate the Snow Avalanche Susceptibility Map in the French Alps E. Kayhan & Ö. Ekmekcioğlu https://doi.org/10.3390/w16223247
57. Geospatial probabilistic modelling for release area mapping of snow avalanches S. Kumar et al. https://doi.org/10.1016/j.coldregions.2019.102813
58. Spatial modelling of gully erosion in Mazandaran Province, northern Iran M. Zabihi et al. https://doi.org/10.1016/j.catena.2017.10.010
59. Influence of snow depth distribution on surface roughness in alpine terrain: a multi-scale approach J. Veitinger et al. https://doi.org/10.5194/tc-8-547-2014
60. Modeling of the largest snow avalanche tragedy in the Western Carpathians (Veľká Fatra Mountains – Slovakia) M. Masný & P. Krajčí https://doi.org/10.1007/s11629-025-0306-9
61. Universal Snow Avalanche Modeling Index Based on SAFI–Flow-R Approach in Poorly-Gauged Regions U. Durlević et al. https://doi.org/10.3390/ijgi13090315
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66. Combining OBIA, CNN, and UAV photogrammetry for automated avalanche deposit detection and characterization S. Dewali et al. https://doi.org/10.1016/j.asr.2023.06.033
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68. Climate warming enhances snow avalanche risk in the Western Himalayas J. Ballesteros-Cánovas et al. https://doi.org/10.1073/pnas.1716913115
69. Creating probability maps for avalanche hazardous areas reflecting snowpack uncertainty updates T. Tanabe et al. https://doi.org/10.1016/j.coldregions.2025.104716
70. Documenting, quantifying, and modeling a large glide avalanche in Glacier National Park, Montana, USA J. Dillon et al. https://doi.org/10.1016/j.coldregions.2024.104412
71. Review article: Snow and ice avalanches in high mountain Asia – scientific, local and indigenous knowledge A. Acharya et al. https://doi.org/10.5194/nhess-23-2569-2023
72. Formation, triggering, and motion factors for the snow avalanche on 30 June 2024 at the Kedarnath South Face in the Indian Himalayas G. Dandabathula et al. https://doi.org/10.1007/s10346-024-02446-y
73. Limited impact of microtopography on alpine plant distribution K. Chytrý et al. https://doi.org/10.1111/ecog.06744
74. Fuzzy–frequency ratio model for avalanche susceptibility mapping S. Kumar et al. https://doi.org/10.1080/17538947.2016.1197328
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77. 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
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79. Describing the severity of avalanche terrain numerically using the observed terrain selection practices of professional guides S. Thumlert & P. Haegeli https://doi.org/10.1007/s11069-017-3113-y
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88. Impact of information presentation on interpretability of spatial hazard information: lessons from a study in avalanche safety K. Fisher et al. https://doi.org/10.5194/nhess-21-3219-2021
89. A method of deriving operation-specific ski run classes for avalanche risk management decisions in mechanized skiing R. Sterchi & P. Haegeli https://doi.org/10.5194/nhess-19-269-2019
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94. Automated Avalanche Terrain Exposure Scale (ATES) mapping – local validation and optimization in western Canada J. Sykes et al. https://doi.org/10.5194/nhess-24-947-2024
95. Novel indices for snow avalanche protection assessment and monitoring of wind-disturbed forests T. Baggio et al. https://doi.org/10.1016/j.ecoleng.2022.106677