The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Robin S. Matoza sits on this spectrum.
The last bar groups every scientist with 510 publications or more.
The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Robin S. Matoza sits on this spectrum.
The last bar groups every scientist with 94 D-Index or more.
Robin S. Matoza is affiliated with the University of California, Santa Barbara in the United States. Their research focuses extensively on Earth and Planetary Sciences, with particular contributions to the field of Geophysics. The scientist has also conducted work related to Artificial Intelligence, Atmospheric Science, Management, Monitoring, Policy and Law, and Ocean Engineering.
The main research topics covered by their work include Seismic Waves and Analysis, Earthquake Detection and Analysis, Seismology and Earthquake Studies, Seismic Imaging and Inversion Techniques, earthquake and tectonic studies, Landslides and related hazards, and Meteorological Phenomena and Simulations.
Frequent co-authors in their publications include David Fee, Alexandra M. Iezzi, Arthur D. Jolly, Rodrigo De Negri, and M. M. Haney. These collaborations have contributed to extending the depth and scope of research in volcanic processes, seismic and acoustic monitoring, and geophysical imaging.
Robin S. Matoza has published in several scientific venues, notably:
Key recent papers authored or co-authored by Robin S. Matoza include:
Other notable papers associated with their research group or co-authors in relevant subfields include:
The scientist's work integrates seismological data and atmospheric phenomena to better understand volcanic eruptions and related hazards. Their publications reflect ongoing advancements in methods for detecting and characterizing seismic and acoustic signals from natural events. This multidisciplinary approach often combines geophysical techniques with computational methods drawn from artificial intelligence.
Bernard A. Chouet;Robin S. Matoza
Unknown
David Fee;Robin S. Matoza
Robin S. Matoza;Alexis Le Pichon;Julien Vergoz;Pascal Herry
Robin S. Matoza;Michael A.H. Hedlin;Milton A. Garcés
R. S. Matoza;D. Fee;M. A. Garcés;J. M. Seiner
Guoqing Lin;Peter M. Shearer;Robin S. Matoza;Paul G. Okubo
Kate E. Allstadt;Robin S. Matoza;Andrew B. Lockhart;Seth C. Moran
Robin S. Matoza;Milton A. Garcés;Bernard A. Chouet;Luca D'Auria
Robin S. Matoza;Bernard A. Chouet
Robin S. Matoza;Julien Vergoz;Alexis Le Pichon;Lars Ceranna
David Fee;Matthew M. Haney;Robin S. Matoza;Alexa R. Van Eaton
Matthieu Landès;Lars Ceranna;Alexis Le Pichon;Robin S. Matoza
Robin S. Matoza;Matthieu Landès;Alexis Le Pichon;Lars Ceranna
Robin S. Matoza;Peter M. Shearer;Guoqing Lin;Cecily J. Wolfe;Cecily J. Wolfe
Robin S. Matoza;David Fee;Tracianne B. Neilsen;Kent L. Gee
Milton Garcés;David Fee;Andrea Steffke;David McCormack
Robin Matoza;David Fee;David Green;Pierrick Mialle
Seth C. Moran;R.S. Matoza;M.A. Garces;M.A.H. Hedlin
Robin S. Matoza;David Fee;David Fee;Milton A. Garcés
Robin S. Matoza;David N. Green;Alexis Le Pichon;Peter M. Shearer
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