48 citations as recorded by crossref.

1. Discussion of “Case Study: Oso, Washington, Landslide of March 22, 2014—Material Properties and Failure Mechanism” by Timothy D. Stark, Ahmed K. Baghdady, Oldrich Hungr, and Jordan Aaron R. Iverson
2. The 28 November 2020 Landslide, Tsunami, and Outburst Flood – A Hazard Cascade Associated With Rapid Deglaciation at Elliot Creek, British Columbia, Canada M. Geertsema et al.
3. Discussion of “Case Study: Oso, Washington, Landslide of March 22, 2014—Material Properties and Failure Mechanism” by Timothy D. Stark, Ahmed K. Baghdady, Oldrich Hungr, and Jordan Aaron J. Keaton et al.
4. AI-powered automatic detection of dynamic triggering of earthquake based on microseismic monitoring F. Jiang et al.
5. A framework for temporal and spatial rockfall early warning using micro-seismic monitoring L. Feng et al.
6. Analysis of the 2017 June Maoxian landslide processes with force histories from seismological inversion and terrain features J. Zhao et al.
7. Identifying landslides from continuous seismic surface waves: a case study of multiple small-scale landslides triggered by Typhoon Talas, 2011 R. Okuwaki et al.
8. Machine learning prediction of the mass and the velocity of controlled single-block rockfalls from the seismic waves they generate C. Hibert et al.
9. The 22 December 2018 tsunami from flank collapse of Anak Krakatau volcano during eruption L. Ye et al.
10. Laboratory Landquakes: Insights From Experiments Into the High‐Frequency Seismic Signal Generated by Geophysical Granular Flows M. Arran et al.
11. The catastrophic 2025 Junlian landslide in Sichuan, China: insights revealed by seismic signals F. Pu et al.
12. Reconstruction of the 2018 tsunamigenic flank collapse and eruptive activity at Anak Krakatau based on eyewitness reports, seismo-acoustic and satellite observations A. Perttu et al.
13. Direct observations of a three million cubic meter rock-slope collapse with almost immediate initiation of ensuing debris flows F. Walter et al.
14. Broad-band seismic analysis and modeling of the 2015 Taan Fjord, Alaska landslide using Instaseis L. Gualtieri & G. Ekström
15. Shear surface undulations modulate clayey gouge strength and contribute to divergent landslide acceleration W. Schulz et al.
16. Insights on Multistage Rock Avalanche Behavior From Runout Modeling Constrained by Seismic Inversions A. Mitchell et al.
17. Seismic monitoring system for landslide hazard assessment and risk management at the drainage plant of the Peschiera Springs (Central Italy) R. Iannucci et al.
18. Seismic signature of the deadly snow avalanche of January 18, 2017, at Rigopiano (Italy) T. Braun et al.
19. Seismic Energy Analysis as Generated by Impact and Fragmentation of Single‐Block Experimental Rockfalls L. Saló et al.
20. The relationship between bulk‐mass momentum and short‐period seismic radiation in catastrophic landslides C. Hibert et al.
21. Dynamics of the Wulong landslide revealed by broadband seismic records Z. Li et al.
22. 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.
23. Single-block rockfall dynamics inferred from seismic signal analysis C. Hibert et al.
24. Landslide reconstruction using seismic signal characteristics and numerical simulations: Case study of the 2017 “6.24” Xinmo landslide Y. Yan et al.
25. A Joint Seismic and Space‐Based Investigation of the 2016 Lamplugh Glacier and 2017 Wrangell Mountains (Alaska) Landslides X. Luo et al.
26. Enhanced landslide mobility by basal liquefaction: The 2014 State Route 530 (Oso), Washington, landslide B. Collins & M. Reid
27. Unraveling landslide failure mechanisms with seismic signal analysis for enhanced pre-survey understanding J. Chang et al.
28. Broadband-seismic analysis of a massive landslide in southwestern China: Dynamics and fragmentation implications Z. Li et al.
29. A rockslide-generated tsunami in a Greenland fjord rang Earth for 9 days K. Svennevig et al.
30. Estimation of dynamic friction and movement history of large landslides M. Yamada et al.
31. Oso, Washington, Landslide of March 22, 2014: Dynamic Analysis J. Aaron et al.
32. Variation patterns of landslide basal friction revealed from long-period seismic waveform inversion D. Yu et al.
33. 3D analysis of 2014 Oso landslide P. Kargar et al.
34. Seismic Advances in Process Geomorphology K. Cook & M. Dietze
35. Earthquake hazard and risk analysis for natural and induced seismicity: towards objective assessments in the face of uncertainty J. Bommer
36. A large frozen debris avalanche entraining warming permafrost ground—the June 2021 Assapaat landslide, West Greenland K. Svennevig et al.
37. 2014 Canadian Geotechnical Colloquium: Landslide runout analysis — current practice and challenges S. McDougall
38. RETRACTED: Reconstructing the Dynamic Processes of the Taimali Landslide in Taiwan Using the Waveform Inversion Method G. Lin & C. Hung
39. Formation mechanism and dynamic process of open-pit coal mine landslides: a case study of the Xinjing landslide in Inner Mongolia, China Q. Wang et al.
40. Near-real-time seismic monitoring improves deep-seated landslides early warning, Jiuxianping, China L. Feng et al.
41. Closure to “Case Study: Oso, Washington, Landslide of March 22, 2014—Material Properties and Failure Mechanism” by Timothy D. Stark, Ahmed K. Baghdady, Oldrich Hungr, and Jordan Aaron T. Stark et al.
42. The 22 March 2014 Oso landslide, Washington, USA J. Wartman et al.
43. Using surface waves recorded by a large mesh of three-element arrays to detect and locate disparate seismic sources W. Fan et al.
44. Effects of mass entrainment on the estimation of landslide parameters from long-period seismic inversion X. Wang et al.
45. Dynamics of the Askja caldera July 2014 landslide, Iceland, from seismic signal analysis: precursor, motion and aftermath A. Schöpa et al.
46. Impact‐Induced Liquefaction Mechanism of Sandy Silt at Different Saturations H. Li et al.
47. When hazard avoidance is not an option: lessons learned from monitoring the postdisaster Oso landslide, USA M. Reid et al.
48. Combining seismic signal dynamic inversion and numerical modeling improves landslide process reconstruction Y. Yan et al.