34 citations as recorded by crossref.

1. Registration of avalanches in the Khibiny Mountains by the geophysical methods I. Fedorov et al. https://doi.org/10.21443/1560-9278-2021-24-1-69-79
2. Multi-parametric Experiments on Infrasound Monitoring for Snow-Avalanche at Mt. Fuji W. IKEDA et al. https://doi.org/10.5331/seppyo.84.5_421
3. Gravitational wet avalanche pressure on pylon-like structures B. Sovilla et al. https://doi.org/10.1016/j.coldregions.2016.03.002
4. Seismo-acoustic energy partitioning of a powder snow avalanche E. Marchetti et al. https://doi.org/10.5194/esurf-8-399-2020
5. Analysis of the microseismicity characteristics in landslide dam failure flume tests: implications for early warning and dynamics inversion Y. Yang et al. https://doi.org/10.1007/s10346-021-01783-6
6. Comparison of two 2-D numerical models for snow avalanche simulation M. Martini et al. https://doi.org/10.1016/j.scitotenv.2023.165221
7. Using local infrasound arrays to detect plunging snow avalanches along the Milford Road, New Zealand (Aotearoa) L. Watson et al. https://doi.org/10.1007/s11069-021-05086-w
8. 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
9. Deducing avalanche size and flow regimes from seismic measurements C. Pérez- Guillén et al. https://doi.org/10.1016/j.coldregions.2015.10.004
10. Robust snow avalanche detection using supervised machine learning with infrasonic sensor arrays T. Thüring et al. https://doi.org/10.1016/j.coldregions.2014.12.014
11. Mobile Infrasound Avalanche Monitoring System: General Design Principle and Application of Results A. Fedorov et al. https://doi.org/10.3103/S0747923921040058
12. 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
13. Analysis of the characteristics of seismic and acoustic signals produced by a dam failure and slope erosion test Z. Feng et al. https://doi.org/10.1007/s10346-020-01390-x
14. Machine learning-driven classification of natural disasters via parallel confidence fusion H. Li et al. https://doi.org/10.1088/2632-2153/ae3c58
15. Mechanism of Bio-Inspired Ultrasensitive Low Frequency Sensor with Mechanics Analysis L. Liu & Y. Lei https://doi.org/10.4028/www.scientific.net/AMM.252.162
16. Transformation of Ground Vibration Signal for Debris-Flow Monitoring and Detection in Alarm Systems C. Abancó et al. https://doi.org/10.3390/s120404870
17. Infrasound array criteria for automatic detection and front velocity estimation of snow avalanches: towards a real-time early-warning system E. Marchetti et al. https://doi.org/10.5194/nhess-15-2545-2015
18. Automatic detection of wet-snow avalanche seismic signals C. Hammer et al. https://doi.org/10.1007/s11069-016-2707-0
19. Automatic detection of avalanches: evaluation of three different approaches A. Schimmel et al. https://doi.org/10.1007/s11069-017-2754-1
20. Infrasound Array Analysis of Debris Flow Activity and Implication for Early Warning E. Marchetti et al. https://doi.org/10.1029/2018JF004785
21. Assessing uncertainties in infrasound network performance modelling: application to the Euro-Mediterranean and Southeast Asian region D. Tailpied et al. https://doi.org/10.1093/gji/ggab399
22. Modeling mass‐dependent flow regime transitions to predict the stopping and depositional behavior of snow avalanches P. Bartelt et al. https://doi.org/10.1029/2010JF001957
23. 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
24. Seismic and acoustic signatures of surficial mass movements at volcanoes K. Allstadt et al. https://doi.org/10.1016/j.jvolgeores.2018.09.007
25. Detecting Snow Avalanche Activity Using Infrasound: Hooker Valley, New Zealand L. Watson et al. https://doi.org/10.1002/jgo2.70015
26. Triggering mechanisms of Gayari avalanche, Pakistan B. Saif et al. https://doi.org/10.1007/s11069-022-05269-z
27. Detection of avalanche locations using infrasound array data N. ARAI et al. https://doi.org/10.5331/bgr.16R02
28. 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
29. Estimation of Avalanche Development and Frontal Velocities Based on the Spectrogram of the Seismic Signals Generated at the Vallée de la Sionne Test Site E. Suriñach et al. https://doi.org/10.3390/geosciences10030113
30. A Pilot Experiment on Infrasonic Lahar Detection at Mount Adams, Cascades: Ambient Infrasound and Wind-Noise Characterization at a Quiescent Stratovolcano R. Sanderson et al. https://doi.org/10.1785/0220200361
31. 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
32. Decennial infrasonic array analysis of snow-avalanche activity in Aosta Valley: New perspectives for supporting avalanche forecasting G. Belli et al. https://doi.org/10.1016/j.coldregions.2025.104521
33. Evaluating the performance of an operational infrasound avalanche detection system at three locations in the Swiss Alps during two winter seasons S. Mayer et al. https://doi.org/10.1016/j.coldregions.2019.102962
34. Unraveling Information from Seismic Signals Generated by Gravitational Mass Movements E. Suriñach & E. Flores-Márquez https://doi.org/10.3390/geosciences14110294