118 citations as recorded by crossref.

1. On Dam Failure Induced Seismic Signals Using Laboratory Tests and on Breach Morphology due to Overtopping by Modeling C. Hung et al. https://doi.org/10.3390/w13192757
2. Characteristics and runout behaviour of the disastrous 28 August 2017 rock avalanche in Nayong, Guizhou, China Y. Zhu et al. https://doi.org/10.1016/j.enggeo.2019.105154
3. Seismic noise in South China Sea: High-quality time-frequency analysis from 0.01 to 125 Hz L. Liu et al. https://doi.org/10.1121/10.0026080
4. Investigation of cliff instability at Għajn Ħadid Tower (Selmun Promontory, Malta) by integrated passive seismic techniques R. Iannucci et al. https://doi.org/10.1007/s10950-019-09898-z
5. The relationship between bulk‐mass momentum and short‐period seismic radiation in catastrophic landslides C. Hibert et al. https://doi.org/10.1002/2016JF004027
6. Snow Avalanche Characteristics Along Milford Road, Aotearoa New Zealand, Using Distributed Acoustic Sensing K. Michailos et al. https://doi.org/10.1785/0220260139
7. Natural and Anthropogenic Sources of Seismic, Hydroacoustic, and Infrasonic Waves: Waveforms and Spectral Characteristics (and Their Applicability for Sensor Calibration) M. Schwardt et al. https://doi.org/10.1007/s10712-022-09713-4
8. Automatic detection of snow avalanches in continuous seismic data using hidden Markov models M. Heck et al. https://doi.org/10.5194/nhess-18-383-2018
9. Seismic signals of snow‐slurry lahars in motion: 25 September 2007, Mt Ruapehu, New Zealand S. Cole et al. https://doi.org/10.1029/2009GL038030
10. 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
11. Review on the Geophysical and UAV-Based Methods Applied to Landslides Y. Hussain et al. https://doi.org/10.3390/rs14184564
12. Broadband-seismic analysis of a massive landslide in southwestern China: Dynamics and fragmentation implications Z. Li et al. https://doi.org/10.1016/j.geomorph.2019.03.024
13. Precursory seismicity associated with frequent, large ice avalanches on Iliamna volcano, Alaska, USA J. Caplan-Auerbach & C. Huggel https://doi.org/10.3189/172756507781833866
14. A method for locating rockfall impacts using signals recorded by a microseismic network T. Gracchi et al. https://doi.org/10.1186/s40677-017-0091-z
15. Seismic monitoring of small alpine rockfalls – validity, precision and limitations M. Dietze et al. https://doi.org/10.5194/esurf-5-653-2017
16. Laboratory Landquakes: Insights From Experiments Into the High‐Frequency Seismic Signal Generated by Geophysical Granular Flows M. Arran et al. https://doi.org/10.1029/2021JF006172
17. A seismological study of landquakes using a real-time broad-band seismic network C. Chen et al. https://doi.org/10.1093/gji/ggt121
18. Potential seismic precursors and surficial dynamics of a deadly Himalayan disaster: an early warning approach A. Tiwari et al. https://doi.org/10.1038/s41598-022-07491-y
19. Extracting source characteristics and dynamics of the August 2010 Mount Meager landslide from broadband seismograms K. Allstadt https://doi.org/10.1002/jgrf.20110
20. Dynamic movement history of the Iiyama slope failure revealed from seismic data M. Yamada et al. https://doi.org/10.1016/j.enggeo.2020.105696
21. 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
22. Multitemporal laser scanner-based observation of the Mt. Vesuvius crater: Characterization of overall geometry and recognition of landslide events A. Pesci et al. https://doi.org/10.1016/j.isprsjprs.2010.12.002
23. 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
24. The 22 March 2014 Oso landslide, Washington, USA J. Wartman et al. https://doi.org/10.1016/j.geomorph.2015.10.022
25. Seismic Advances in Process Geomorphology K. Cook & M. Dietze https://doi.org/10.1146/annurev-earth-032320-085133
26. Monitoring and prediction in early warning systems for rapid mass movements M. Stähli et al. https://doi.org/10.5194/nhess-15-905-2015
27. Potential Warning of Catastrophic Landslides With Regional Seismic Networks J. Wen et al. https://doi.org/10.1109/TGRS.2026.3706504
28. The seismic signatures of the surge wave from the 2009 Xiaolin landslide‐dam breach in Taiwan Z. Feng https://doi.org/10.1002/hyp.8239
29. Chain‐Style Landslide Hazardous Process: Constraints From Seismic Signals Analysis of the 2017 Xinmo Landslide, SW China W. Li et al. https://doi.org/10.1029/2018JB016433
30. Surface microscopic examination of quartz grains from rock avalanche basal facies Y. Wang et al. https://doi.org/10.1139/cgj-2013-0284
31. Insights into rock‐ice avalanche dynamics by combined analysis of seismic recordings and a numerical avalanche model D. Schneider et al. https://doi.org/10.1029/2010JF001734
32. Snow avalanche speed determination using seismic methods I. Vilajosana et al. https://doi.org/10.1016/j.coldregions.2006.09.007
33. Gliding tremors associated with the 26 second microseism in the Gulf of Guinea C. Bruland & C. Hadziioannou https://doi.org/10.1038/s43247-023-00837-y
34. Characterizing the evolution of mass flow properties and dynamics through analysis of seismic signals: insights from the 18 March 2007 Mt. Ruapehu lake-breakout lahar B. Walsh et al. https://doi.org/10.5194/nhess-23-1029-2023
35. Automated Snow Avalanche Monitoring and Alert System Using Distributed Acoustic Sensing in Norway A. Turquet et al. https://doi.org/10.3390/geohazards5040063
36. Towards Automated Real-Time Detection and Location of Large-Scale Landslides through Seismic Waveform Back Projection E. Lee et al. https://doi.org/10.1155/2019/1426019
37. 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
38. Brief report on the catastrophic landslide in Papua New Guinea on May 24, 2024 Z. Li et al. https://doi.org/10.1007/s10346-025-02511-0
39. Characterization of alpine rockslides using statistical analysis of seismic signals F. Dammeier et al. https://doi.org/10.1029/2011JF002037
40. Towards a standard typology of endogenous landslide seismic sources F. Provost et al. https://doi.org/10.5194/esurf-6-1059-2018
41. Measurement on Complex Permittivities of Hydrated Soil, Live and Dead Leaves, Woods, and Stones at Frequency Bands from LF to MF for Landslides Prognostication K. Kumahara et al. https://doi.org/10.1541/ieejeiss.138.94
42. High-precision rockfall source localization in acoustically complex environments using distributed acoustic sensing F. Zhang et al. https://doi.org/10.1007/s10346-026-02807-9
43. 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
44. A physical model of the high‐frequency seismic signal generated by debris flows M. Farin et al. https://doi.org/10.1002/esp.4677
45. Recent insights into debris-flow dynamics driven by cascade processes in volcanic settings of the southern Andes: The example of Osorno Volcano A. Bravo-Alarcón et al. https://doi.org/10.1016/j.enggeo.2026.109059
46. Seismic Monitoring of Post-wildfire Debris Flows Following the 2019 Museum Fire, Arizona R. Porter et al. https://doi.org/10.3389/feart.2021.649938
47. Slope instabilities in Dolomieu crater, Réunion Island: From seismic signals to rockfall characteristics C. Hibert et al. https://doi.org/10.1029/2011JF002038
48. On the origin of the signals observed across the seismic spectrum J. Díaz https://doi.org/10.1016/j.earscirev.2016.07.006
49. 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
50. Low-Frequency Ground Vibrations Generated by Debris Flows Detected by a Lab-Fabricated Seismometer C. Huang et al. https://doi.org/10.3390/s22239310
51. Seismic characterisation of lahars at Volcán de Colima, Mexico R. Vázquez et al. https://doi.org/10.1007/s00445-016-1004-9
52. Entering the Era of Earth Observation-Based Landslide Warning Systems: A Novel and Exciting Framework K. Dai et al. https://doi.org/10.1109/MGRS.2019.2954395
53. Automated identification, location, and volume estimation of rockfalls at Piton de la Fournaise volcano C. Hibert et al. https://doi.org/10.1002/2013JF002970
54. Phenomenology of Avalanche Recordings From Distributed Acoustic Sensing P. Paitz et al. https://doi.org/10.1029/2022JF007011
55. Modelling the dynamics of a large rock landslide in the Dolomites (eastern Italian Alps) using multi-temporal DEMs R. Gatter et al. https://doi.org/10.7717/peerj.5903
56. Dynamics of the Oso-Steelhead landslide from broadband seismic analysis C. Hibert et al. https://doi.org/10.5194/nhess-15-1265-2015
57. 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
58. 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
59. Seismic classification of rainfall-induced lahars at Volcán de Colima, México: frequency content as an indicator of sediment concentration V. Márquez-Ramirez et al. https://doi.org/10.1016/j.jsames.2025.105768
60. 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
61. On recent advances in avalanche research J. Schweizer https://doi.org/10.1016/j.coldregions.2017.10.014
62. Evaluation of a snow avalanche possibly triggered by a local earthquake at Vallée de la Sionne, Switzerland C. Pérez-Guillén et al. https://doi.org/10.1016/j.coldregions.2014.07.007
63. Seismic signature of the deadly snow avalanche of January 18, 2017, at Rigopiano (Italy) T. Braun et al. https://doi.org/10.1038/s41598-020-75368-z
64. Porosity dependence of elastic moduli of snow and firn C. Sayers https://doi.org/10.1017/jog.2021.25
65. Rockfalls at Augustine Volcano, Alaska: The influence of eruption precursors and seasonal factors on occurrence patterns 1997–2009 N. DeRoin & S. McNutt https://doi.org/10.1016/j.jvolgeores.2011.11.003
66. Active-Source Environmental Seismology W. Holbrook et al. https://doi.org/10.1785/0220260046
67. On the complementariness of infrasound and seismic sensors for monitoring snow avalanches A. Kogelnig et al. https://doi.org/10.5194/nhess-11-2355-2011
68. Seismic Energy Analysis as Generated by Impact and Fragmentation of Single‐Block Experimental Rockfalls L. Saló et al. https://doi.org/10.1029/2017JF004374
69. 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
70. A first near real-time seismology-based landquake monitoring system W. Chao et al. https://doi.org/10.1038/srep43510
71. Characteristic analysis of the Nayong rock avalanche based on the seismic signal H. Luo et al. https://doi.org/10.1088/1755-1315/570/4/042043
72. Spatiotemporal patterns, triggers and anatomies of seismically detected rockfalls M. Dietze et al. https://doi.org/10.5194/esurf-5-757-2017
73. Seismic monitoring system for landslide hazard assessment and risk management at the drainage plant of the Peschiera Springs (Central Italy) R. Iannucci et al. https://doi.org/10.1016/j.enggeo.2020.105787
74. Detecting torrential processes from a distance with a seismic monitoring network V. Coviello et al. https://doi.org/10.1007/s11069-015-1819-2
75. Transformation of Ground Vibration Signal for Debris-Flow Monitoring and Detection in Alarm Systems C. Abancó et al. https://doi.org/10.3390/s120404870
76. Evaluating critical rainfall conditions for large-scale landslides by detecting event times from seismic records H. Kuo et al. https://doi.org/10.5194/nhess-18-2877-2018
77. Characterization of Environmental Seismic Signals in a Post‐Wildfire Environment: Examples From the Museum Fire, AZ R. Porter et al. https://doi.org/10.1029/2022JF006962
78. Geophysical Monitoring of Moisture‐Induced Landslides: A Review J. Whiteley et al. https://doi.org/10.1029/2018RG000603
79. Induced Seismicity Monitoring of an Underground Salt Cavern Prone to Collapse E. Mercerat et al. https://doi.org/10.1007/s00024-009-0008-1
80. Extracting region-specific runout behavior and rainfall thresholds for massive landslides using seismic records: a case study in southern Taiwan C. Hung et al. https://doi.org/10.1007/s10064-018-1384-5
81. Dynamic Characterization of the 2009 Jiweishan Rockslidein Wulong, China, Based on Broadband Seismic Observations K. Chen et al. https://doi.org/10.1007/s11770-025-1303-z
82. Calibration and Deployment of a Fiber-Optic Sensing System for Monitoring Debris Flows C. Huang et al. https://doi.org/10.3390/s120505835
83. Landslide monitoring using seismic ambient noise correlation: challenges and applications M. Le Breton et al. https://doi.org/10.1016/j.earscirev.2021.103518
84. 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
85. Characteristics of the Seismic Signal Generated by Fragmental Rockfalls: Insight From Laboratory Experiments Q. Lin et al. https://doi.org/10.1029/2022JB025096
86. Single-station vehicle tracking using six-component seismic measurements: A comparative study with array-based methods S. Yuan et al. https://doi.org/10.26443/seismica.v4i2.1500
87. Infrasound produced by debris flow: propagation and frequency content evolution A. Kogelnig et al. https://doi.org/10.1007/s11069-011-9741-8
88. 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
89. Improving the Amplitude Source Location (ASL) Method Using Multicomponent Seismic Data: An Assessment with Active Source Seismic Data B. Walsh et al. https://doi.org/10.1785/0120190063
90. Towards Automatic Landslide-Quake Identification Using a Random Forest Classifier G. Lin et al. https://doi.org/10.3390/app10113670
91. Multitemporal Quantification of the Geomorphodynamics on a Slope within the Cratère Dolomieu at the Piton de la Fournaise (La Réunion, Indian Ocean) Using Terrestrial LiDAR Data, Terrestrial Photographs, and Webcam Data K. Wegner et al. https://doi.org/10.3390/geosciences14100259
92. Seismic Signal Characteristics and Numerical Modeling Analysis of the Xinmo Landslide L. Yang et al. https://doi.org/10.3390/su15075851
93. Automatic detection of avalanches combining array classification and localization M. Heck et al. https://doi.org/10.5194/esurf-7-491-2019
94. Autoencoder-based feature extraction for the automatic detection of snow avalanches in seismic data A. Simeon et al. https://doi.org/10.5194/gmd-18-8751-2025
95. Automatic detection of alpine rockslides in continuous seismic data using hidden Markov models F. Dammeier et al. https://doi.org/10.1002/2015JF003647
96. Automatic identification of landslide events from continuous seismic recordings using particle swarm optimization-optimized random forest J. Wen et al. https://doi.org/10.1190/geo2024-0881.1
97. Impact energy of an avalanche on a structure E. Thibert & D. Baroudi https://doi.org/10.3189/172756410791386634
98. 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
99. Seismic and acoustic signatures of surficial mass movements at volcanoes K. Allstadt et al. https://doi.org/10.1016/j.jvolgeores.2018.09.007
100. Seismometer Records of Ground Tilt Induced by Debris Flows M. Wenner et al. https://doi.org/10.1785/0120210271
101. 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
102. Unraveling Information from Seismic Signals Generated by Gravitational Mass Movements E. Suriñach & E. Flores-Márquez https://doi.org/10.3390/geosciences14110294
103. Applications of Image-Based Computer Vision for Remote Surveillance of Slope Instability M. Muhammad et al. https://doi.org/10.3389/feart.2022.909078
104. Analysing dynamics of the 2000 Yigong landslide in the Tibetan plateau using seismic observations C. Ho et al. https://doi.org/10.1007/s10346-025-02525-8
105. Monitoring avalanche activity using a seismic sensor A. van Herwijnen & J. Schweizer https://doi.org/10.1016/j.coldregions.2011.06.008
106. Forecasting snow avalanches using avalanche activity data obtained through seismic monitoring A. van Herwijnen et al. https://doi.org/10.1016/j.coldregions.2016.09.014
107. Relations Between the Characteristics of Granular Column Collapses and Resultant High‐Frequency Seismic Signals M. Farin et al. https://doi.org/10.1029/2019JF005258
108. Systematic identification of seismic signatures from medium-intensity landslides in the Arunachal Pradesh region, Northeast India, and their accurate locations R. Singh et al. https://doi.org/10.1007/s11069-025-07823-x
109. Seismic monitoring of rockfalls, slide quakes, and fissure development at the Super-Sauze mudslide, French Alps M. Walter et al. https://doi.org/10.1016/j.enggeo.2011.11.002
110. 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
111. Discrete Element Modeling of the Nayong Rock Avalanche, Guizhou, China Constrained by Dynamic Parameters from Seismic Signal Inversion H. Luo et al. https://doi.org/10.1007/s00603-021-02363-9
112. Snow avalanche energy estimation from seismic signal analysis I. Vilajosana et al. https://doi.org/10.1016/j.coldregions.2007.03.007
113. 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
114. 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
115. Automatic detection of wet-snow avalanche seismic signals C. Hammer et al. https://doi.org/10.1007/s11069-016-2707-0
116. Real‐time detection, location, and characterization of rockslides using broadband regional seismic networks A. Manconi et al. https://doi.org/10.1002/2016GL069572
117. Insights Into the Internal Dynamics of Natural Lahars From Analysis of 3-Component Broadband Seismic Signals at Volcán de Colima, Mexico B. Walsh et al. https://doi.org/10.3389/feart.2020.542116
118. Deep learning based earthquake and vehicle detection algorithm D. Ertuncay et al. https://doi.org/10.1007/s10950-024-10267-8