91 citations as recorded by crossref.

1. Soft-sediment deformation structures in cave deposits and their possible causes (Kalacka Cave, Tatra Mts., Poland) J. Szczygieł et al. https://doi.org/10.1016/j.jsg.2020.104161
2. Rock fall dynamics and deposition: an integrated analysis of the 2009 Ahwiyah Point rock fall, Yosemite National Park, USA V. Zimmer et al. https://doi.org/10.1002/esp.3206
3. A seismological study of landquakes using a real-time broad-band seismic network C. Chen et al. https://doi.org/10.1093/gji/ggt121
4. Timing, volume and precursory indicators of rock‐ and cliff fall on a permafrost mountain ridge (Mattertal, Switzerland) H. Hendrickx et al. https://doi.org/10.1002/esp.5333
5. Rockfall localization from seismic polarization considering multiple triaxial geophones and frequency bands L. Feng et al. https://doi.org/10.1007/s11629-020-6132-1
6. Quantification of magma ascent rate through rockfall monitoring at the growing/collapsing lava dome of Volcán de Colima, Mexico S. Mueller et al. https://doi.org/10.5194/se-4-201-2013
7. Persistent post-flood hillslope activity posing a potential landslide dam hazard in the Ahr valley, Germany T. Wenzel et al. https://doi.org/10.1186/s12302-024-00985-8
8. Experiment of the Rockfall Impact Characteristic onto Gravel Cushion H. Tang et al. https://doi.org/10.4028/www.scientific.net/AMR.430-432.1729
9. Rockfall alarm system for railway monitoring: Integrating seismic detection, localization, and characterization T. Rebert et al. https://doi.org/10.1190/geo2023-0058.1
10. Quantitative hazard analysis and mitigation measures of rockfall in a high-frequency rockfall region N. Jiang et al. https://doi.org/10.1007/s10064-021-02137-1
11. Particle size effect on the impact processes and geomorphology of granular flow deposition J. Huang et al. https://doi.org/10.1016/j.enggeo.2026.108963
12. Impact of rockfalls on protection measures: an experimental approach J. Yuan et al. https://doi.org/10.5194/nhess-15-885-2015
13. Analysis of seismic signals recorded on a prone-to-fall rock column (Vercors massif, French Alps) C. Levy et al. https://doi.org/10.1111/j.1365-246X.2011.05046.x
14. Automated identification, location, and volume estimation of rockfalls at Piton de la Fournaise volcano C. Hibert et al. https://doi.org/10.1002/2013JF002970
15. Dynamics of the Askja caldera July 2014 landslide, Iceland, from seismic signal analysis: precursor, motion and aftermath A. Schöpa et al. https://doi.org/10.5194/esurf-6-467-2018
16. Remote sensing and seismic data integration for the characterization of a rock slide and an artificially triggered rock fall M. Guinau et al. https://doi.org/10.1016/j.enggeo.2019.04.010
17. Locating Rockfalls Using Inter‐Station Ratios of Seismic Energy at Dolomieu Crater, Piton de la Fournaise Volcano J. Kuehnert et al. https://doi.org/10.1029/2020JF005715
18. Detection and location of rock falls using seismic and infrasound sensors V. Zimmer & N. Sitar https://doi.org/10.1016/j.enggeo.2015.04.007
19. Case study of a rockfall in Chongqing, China: movement characteristics of the initial failure process of a tower-shaped rock mass K. He et al. https://doi.org/10.1007/s10064-018-1364-9
20. Exploration of continuous seismic recordings with a machine learning approach to document 20 yr of landslide activity in Alaska C. Hibert et al. https://doi.org/10.1093/gji/ggz354
21. Relations Between the Characteristics of Granular Column Collapses and Resultant High‐Frequency Seismic Signals M. Farin et al. https://doi.org/10.1029/2019JF005258
22. Unraveling Information from Seismic Signals Generated by Gravitational Mass Movements E. Suriñach & E. Flores-Márquez https://doi.org/10.3390/geosciences14110294
23. Integrating distributed acoustic sensing and computer vision for real-time seismic location of landslides and rockfalls along linear infrastructure T. Xie et al. https://doi.org/10.1007/s10346-024-02268-y
24. Unraveling pyroclastic density current dynamics with multiparameter geophysical sensing F. Biagioli et al. https://doi.org/10.1038/s43247-025-03091-6
25. Deep learning-based debris flow hazard detection and recognition system: a case study F. Wu et al. https://doi.org/10.1038/s41598-025-86471-4
26. A Review of the Advantages and Limitations of Geophysical Investigations in Landslide Studies V. Pazzi et al. https://doi.org/10.1155/2019/2983087
27. A Numerical Investigation of the Characteristics of Seismic Signals Induced by Rockfalls Z. Feng et al. https://doi.org/10.3389/feart.2021.761455
28. 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
29. An Improved Method for Computing Broadband Green’s Functions of Surface Sources and Its Application to Inverting the Processes of the 2017 Xinmo Landslide Y. Qian et al. https://doi.org/10.1785/0220200474
30. Dynamic process of the massive Xinmo landslide, Sichuan (China), from joint seismic signal and morphodynamic analysis X. Bai et al. https://doi.org/10.1007/s10064-018-1360-0
31. Elastic wave generated by granular impact on rough and erodible surfaces V. Bachelet et al. https://doi.org/10.1063/1.5012979
32. Automatic approach for increasing the location accuracy of slow-moving landslide endogenous seismicity: the APOLoc method F. Provost et al. https://doi.org/10.1093/gji/ggy330
33. Seismic signal recognition and interpretation of the 2019 “7.23” Shuicheng landslide by seismogram stations Y. Yan et al. https://doi.org/10.1007/s10346-020-01358-x
34. Characteristics of the Seismic Signal Generated by Fragmental Rockfalls: Insight From Laboratory Experiments Q. Lin et al. https://doi.org/10.1029/2022JB025096
35. Why did the 1756 Tjellefonna rockslide occur? A back-analysis of the largest historic rockslide in Norway G. Sandøy et al. https://doi.org/10.1016/j.geomorph.2016.08.016
36. Suivi temporel de mouvements gravitaires : apport des vibrations sismiques ambiantes P. Bottelin et al. https://doi.org/10.1051/geotech/2017011
37. Spatiotemporal patterns, triggers and anatomies of seismically detected rockfalls M. Dietze et al. https://doi.org/10.5194/esurf-5-757-2017
38. Near-real-time automated classification of seismic signals of slope failures with continuous random forests M. Wenner et al. https://doi.org/10.5194/nhess-21-339-2021
39. Seismic Energy Analysis as Generated by Impact and Fragmentation of Single‐Block Experimental Rockfalls L. Saló et al. https://doi.org/10.1029/2017JF004374
40. Seismicity of block-and-ash flows occurring during the 2006 eruption of Augustine Volcano, Alaska N. DeRoin et al. https://doi.org/10.1016/j.jvolgeores.2011.10.007
41. Automatic detection of debris flows and debris floods based on a combination of infrasound and seismic signals A. Schimmel & J. Hübl https://doi.org/10.1007/s10346-015-0640-z
42. Link Between the Dynamics of Granular Flows and the Generated Seismic Signal: Insights From Laboratory Experiments M. Farin et al. https://doi.org/10.1029/2017JF004296
43. Machine learning prediction of the mass and the velocity of controlled single-block rockfalls from the seismic waves they generate C. Hibert et al. https://doi.org/10.5194/esurf-12-641-2024
44. Integration of seismic and image data processing for rockfall monitoring and early warning along transportation networks P. Partsinevelos et al. https://doi.org/10.1007/s11069-016-2462-2
45. Friction weakening in granular flows deduced from seismic records at the Soufrière Hills Volcano, Montserrat C. Levy et al. https://doi.org/10.1002/2015JB012151
46. The Time-Frequency Analysis for Energy Dissipation Shed-Tunnel’s Rockfall Impact Signal Based on Wavelet Theory L. Wang et al. https://doi.org/10.4028/www.scientific.net/AMR.243-249.5085
47. A framework for temporal and spatial rockfall early warning using micro-seismic monitoring L. Feng et al. https://doi.org/10.1007/s10346-020-01534-z
48. A microseismic-based procedure for the detection of rock slope instabilities C. Occhiena et al. https://doi.org/10.1016/j.ijrmms.2014.02.020
49. An automated machine learning approach for near-real-time rockfall classification via distributed acoustic sensing along linear infrastructure T. Xie et al. https://doi.org/10.1016/j.enggeo.2025.108428
50. Slope instabilities in Dolomieu crater, Réunion Island: From seismic signals to rockfall characteristics C. Hibert et al. https://doi.org/10.1029/2011JF002038
51. Debris flow detection and velocity estimation using deep convolutional neural network and image processing M. Pham & Y. Kim https://doi.org/10.1007/s10346-022-01931-6
52. Analysis of the ground vibration generated by debris flows and other torrential processes at the Rebaixader monitoring site (Central Pyrenees, Spain) C. Abancó et al. https://doi.org/10.5194/nhess-14-929-2014
53. Characterizing large rockfalls using their seismic signature: A case study of Hongya rockfall W. Li et al. https://doi.org/10.1016/j.enggeo.2023.107222
54. Rockfall-YOLO Deep Learning Model for Rockfall Motion Object Detection G. Su et al. https://doi.org/10.1061/JCCEE5.CPENG-6268
55. Energy Analysis for Energy Dissipation Shed-Tunnel’s Rockfall Impact Signal L. Wang et al. https://doi.org/10.4028/www.scientific.net/AMR.261-263.1054
56. Characteristics of seismic and acoustic signals of rock falls: an experimental study Z. Feng & R. Zhuang https://doi.org/10.1007/s10346-021-01748-9
57. Towards a standard typology of endogenous landslide seismic sources F. Provost et al. https://doi.org/10.5194/esurf-6-1059-2018
58. Assessing the effect of lithological setting, block characteristics and slope topography on the runout length of rockfalls in the Alps and on the island of La Réunion K. Wegner et al. https://doi.org/10.5194/nhess-21-1159-2021
59. Seismic Analysis of the Detachment and Impact Phases of a Rockfall and Application for Estimating Rockfall Volume and Free‐Fall Height G. Le Roy et al. https://doi.org/10.1029/2019JF004999
60. Reconstruction of four-dimensional rockfall trajectories using remote sensing and rock-based accelerometers and gyroscopes A. Caviezel et al. https://doi.org/10.5194/esurf-7-199-2019
61. Seismic monitoring of rockfalls using distributed acoustic sensing T. Xie et al. https://doi.org/10.1016/j.enggeo.2023.107285
62. Seismic and mechanical studies of the artificially triggered rockfall at Mount Néron (French Alps, December 2011) P. Bottelin et al. https://doi.org/10.5194/nhess-14-3175-2014
63. Unraveling landslide failure mechanisms with seismic signal analysis for enhanced pre-survey understanding J. Chang et al. https://doi.org/10.5194/nhess-25-451-2025
64. Evolution of a giant debris flow in the transitional mountainous region between the Tibetan Plateau and the Qinling Mountain range, Western China: Constraints from broadband seismic records X. Huang et al. https://doi.org/10.1016/j.jseaes.2017.08.031
65. Automatic detection of wet-snow avalanche seismic signals C. Hammer et al. https://doi.org/10.1007/s11069-016-2707-0
66. On the Link Between External Forcings and Slope Instabilities in the Piton de la Fournaise Summit Crater, Reunion Island V. Durand et al. https://doi.org/10.1029/2017JF004507
67. Seismic Characterization of Debris Flows: Insights into Energy Radiation and Implications for Warning V. Coviello et al. https://doi.org/10.1029/2018JF004683
68. Locating rock slope failures along highways and understanding their physical processes using seismic signals J. Chang et al. https://doi.org/10.5194/esurf-9-505-2021
69. The relationship between bulk‐mass momentum and short‐period seismic radiation in catastrophic landslides C. Hibert et al. https://doi.org/10.1002/2016JF004027
70. Rockfalls detached from a lateral moraine during spring season. 2010 and 2011 events observed at the Rebaixader debris-flow monitoring site (Central Pyrenees, Spain) M. Hürlimann et al. https://doi.org/10.1007/s10346-011-0314-4
71. Monitoring and early warning method for a rockfall along railways based on vibration signal characteristics Y. Yan et al. https://doi.org/10.1038/s41598-019-43146-1
72. Dynamics of the Oso-Steelhead landslide from broadband seismic analysis C. Hibert et al. https://doi.org/10.5194/nhess-15-1265-2015
73. The R package “eseis” – a software toolbox for environmental seismology M. Dietze https://doi.org/10.5194/esurf-6-669-2018
74. Investigation and dynamic analyses of rockslide-induced debris avalanche in Shuicheng, Guizhou, China Y. Zhang et al. https://doi.org/10.1007/s10346-020-01436-0
75. Determination of the seismic signatures of landslides in soft soils: A methodology based on a field scale shear box G. Yfantis et al. https://doi.org/10.1016/j.enggeo.2020.105853
76. Analysis of Broadband Seismic Recordings of Landslide Using Empirical Green's Function Z. Zhang & S. He https://doi.org/10.1029/2018GL081448
77. Automatic Identification of Alpine Mass Movements by a Combination of Seismic and Infrasound Sensors A. Schimmel et al. https://doi.org/10.3390/s18051658
78. Single-block rockfall dynamics inferred from seismic signal analysis C. Hibert et al. https://doi.org/10.5194/esurf-5-283-2017
79. Spatio-temporal evolution of rockfall activity from 2007 to 2011 at the Piton de la Fournaise volcano inferred from seismic data C. Hibert et al. https://doi.org/10.1016/j.jvolgeores.2017.01.007
80. Seismic location and tracking of snow avalanches and slush flows on Mt. Fuji, Japan C. Pérez-Guillén et al. https://doi.org/10.5194/esurf-7-989-2019
81. Frequency Characteristics and Numerical Computation of Seismic Records Generated by a Giant Debris Flow in Zhouqu, Western China X. Huang et al. https://doi.org/10.1007/s00024-019-02177-5
82. The anatomy of a pyroclastic density current: the 10 July 2015 event at Volcán de Colima (Mexico) L. Capra et al. https://doi.org/10.1007/s00445-018-1206-4
83. Improving rockfall monitoring with distributed acoustic sensing: The role of operational parameters T. Xie et al. https://doi.org/10.1016/j.jrmge.2025.08.054
84. Characterization of alpine rockslides using statistical analysis of seismic signals F. Dammeier et al. https://doi.org/10.1029/2011JF002037
85. Seismic monitoring of small alpine rockfalls – validity, precision and limitations M. Dietze et al. https://doi.org/10.5194/esurf-5-653-2017
86. Field experiments: How well can seismic monitoring assess rock mass falling? J. Chang et al. https://doi.org/10.1016/j.enggeo.2023.107211
87. Experimental validation of theoretical methods to estimate the energy radiated by elastic waves during an impact M. Farin et al. https://doi.org/10.1016/j.jsv.2015.10.003
88. Seismic and acoustic signatures of surficial mass movements at volcanoes K. Allstadt et al. https://doi.org/10.1016/j.jvolgeores.2018.09.007
89. Analogue study on the classification and identification of landslide dynamics based on spectral features of slidequake signals Z. Yang et al. https://doi.org/10.1016/j.soildyn.2023.108150
90. A physical model test study on the influence of particle size on the landquake characteristics of rock avalanches F. Shi et al. https://doi.org/10.1038/s41598-026-53177-0
91. Source characteristics and dynamics of the October 2018 Baige landslide revealed by broadband seismograms Z. Zhang et al. https://doi.org/10.1007/s10346-019-01145-3