12 citations as recorded by crossref.

1. Multi-sensor monitoring of an active rockfall site in Manikaran, Himachal Pradesh, India R. Dhiman et al. https://doi.org/10.1007/s42452-026-09155-2
2. Quantifying the effective reliability of geotechnical high-alpine real-time monitoring systems J. Leinauer & M. Krautblatter https://doi.org/10.1016/j.enggeo.2026.108984
3. How ice apron loss and permafrost degradation promoted the Platteikogel rock slope failure: a thermo-mechanical reconstruction F. Pfluger et al. https://doi.org/10.5194/esurf-14-601-2026
4. Explainable surface displacement prediction using causal feature selection and Kolmogorov–Arnold Networks L. Schild et al. https://doi.org/10.1016/j.enggeo.2026.109044
5. Decadal in situ hydrological observations and empirical modeling of pressure head in a high-alpine, fractured calcareous rock slope R. Scandroglio et al. https://doi.org/10.5194/esurf-13-295-2025
6. Path-Dependent Landslide Initiation Through Response-Generated Memory Under Mainshock–Aftershock Loading S. Kostić & N. Vasović https://doi.org/10.3390/math14173122
7. Feature-based multi-epoch rock slope monitoring using images and terrestrial laser scans L. Lucks & C. Holst https://doi.org/10.1016/j.ophoto.2026.100120
8. Seasonal thermo-hydro-mechanical dynamics of permafrost rockwalls revealed by automated electrical resistivity monitoring M. Offer et al. https://doi.org/10.5194/esurf-14-661-2026
9. Safeguarding Cultural Heritage: Integrating laser scanning, InSAR, vibration monitoring and rockfall/granular flow runout modelling at the Temple of Hatshepsut, Egypt B. Jacobs et al. https://doi.org/10.5194/esurf-14-55-2026
10. Characterizing irregularly shaped rockfall dynamics using seismic signals: Geometric source effects combined with deep learning-driven strategy Z. Li et al. https://doi.org/10.1016/j.jrmge.2026.03.005
11. Progressive destabilization of a freestanding rock pillar in permafrost on the Matterhorn (Swiss Alps): Hydro-mechanical modeling and analysis S. Weber et al. https://doi.org/10.5194/esurf-13-1157-2025
12. Meteoclimatic drivers of rock mass plasticity before failures: Insights from an artificial neural network trained on monitoring data and weather forecasts G. Marmoni et al. https://doi.org/10.1016/j.jrmge.2026.06.036