17 citations as recorded by crossref.

1. Seismoacoustic investigations of paroxysmal activity at Mt. Etna volcano: New insights into the 16 November 2006 eruption M. Sciotto et al. 10.1029/2010JB008138
2. Characterization of volcanic regimes and identification of significant transitions using geophysical data: a review R. Carniel 10.1007/s00445-014-0848-0
3. Complex Autoregressive Time-Frequency Analysis: Estimation of Time-Varying Periodic Signal Components M. Andrade et al. 10.1109/MSP.2017.2783942
4. Seismicity during the recent activity (2009–2020) of Turrialba volcano, Costa Rica L. van der Laat et al. 10.1016/j.jvolgeores.2022.107651
5. Shallow magma pathway geometry at Mt. Etna volcano D. Patanè et al. 10.1029/2008GC002131
6. Signal time–frequency representation and decomposition using partial fractions B. Ursin & M. Porsani 10.1093/gji/ggab115
7. Seismic activity that accompanied the effusive and explosive eruptions during the 2004–2005 period at Volcán de Colima, Mexico R. Arámbula-Mendoza et al. 10.1016/j.jvolgeores.2011.02.009
8. Signal Decomposition and Time-Frequency Representation Using Variable-Length Symmetric Filters M. Porsani & B. Ursin 10.22564/brjg.v40i1.2138
9. Time-varying autoregressive model for spectral analysis of microseismic experiments and long-period volcanic events J. Tary et al. 10.1093/gji/ggt400
10. Spectral estimation-What is new? What is next? J. Tary et al. 10.1002/2014RG000461
11. Evolution of Seismicity During a Stalled Episode of Reawakening at Cayambe Volcano, Ecuador S. Butcher et al. 10.3389/feart.2021.680865
12. Characteristics of fluid‐induced resonances observed during microseismic monitoring J. Tary et al. 10.1002/2014JB011263
13. Interactive Matlab software for the analysis of seismic volcanic signals P. Lesage 10.1016/j.cageo.2009.01.010
14. Characterization and location of infrasonic sources in active volcanoes: Mount Etna, September–November 2007 A. Cannata et al. 10.1029/2008JB006007
15. Clustering and classification of infrasonic events at Mount Etna using pattern recognition techniques A. Cannata et al. 10.1111/j.1365-246X.2011.04951.x
16. Using Machine Learning to Discern Eruption in Noisy Environments: A Case Study Using CO2‐Driven Cold‐Water Geyser in Chimayó, New Mexico B. Yuan et al. 10.1785/0220180306
17. Signal decomposition and time–frequency representation using iterative singular spectrum analysis M. Porsani et al. 10.1093/gji/ggz046