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Earth Science

D-Index
81
Citations
27296
World Ranking
482
National Ranking
255

Research.com Recognitions

  • 2008 - Fellow of American Geophysical Union (AGU)

Overview

Gregory C. Beroza is affiliated with Stanford University in the United States. Their research primarily focuses on Earth and Planetary Sciences, with significant contributions to Computer Science as well. The subfields where they have been particularly active include Geophysics, Artificial Intelligence, Ocean Engineering, Civil and Structural Engineering, and Geochemistry and Petrology.

Their main research topics encompass Seismology and Earthquake Studies, earthquake and tectonic studies, Seismic Waves and Analysis, Earthquake Detection and Analysis, Seismic Imaging and Inversion Techniques, High-pressure geophysics and materials, and Reservoir Engineering and Simulation Methods.

Gregory C. Beroza has published papers in a range of notable venues. Frequent publication locations include Seismological Research Letters, Geophysical Journal International, Journal of Geophysical Research Solid Earth, Bulletin of the Seismological Society of America, and Geophysical Research Letters.

Some recent publications authored or co-authored by Beroza include:

  • Machine learning and earthquake forecasting-next steps, 2021, Nature Communications
  • Earthquake transformer-an attentive deep-learning model for simultaneous earthquake detection and phase picking, 2020, Nature Communications
  • Deep-learning seismology, 2022, Science
  • Machine Learning in Earthquake Seismology, 2022, Annual Review of Earth and Planetary Sciences
  • Urban Seismic Site Characterization by Fiber-Optic Seismology, 2020, Journal of Geophysical Research Solid Earth

Frequent co-authors of Gregory C. Beroza include William L. Ellsworth, Weiqiang Zhu, S. Mostafa Mousavi, Ian W. McBrearty, and Yongsoo Park.

Gregory C. Beroza was recognized as a Fellow of the American Geophysical Union (AGU) in 2008.

Best Publications

  • Seismicity Remotely Triggered by the Magnitude 7.3 Landers, California, Earthquake

    D. P. Hill;P.A. Reasenberg;A. Michael;W.J. Arabaz

  • Non-volcanic tremor and low-frequency earthquake swarms

    David R. Shelly;Gregory C. Beroza;Satoshi Ide

  • Machine learning for data-driven discovery in solid Earth geoscience

    Karianne J. Bergen;Karianne J. Bergen;Paul A. Johnson;Maarten V. de Hoop;Gregory C. Beroza

  • PhaseNet: a deep-neural-network-based seismic arrival-time picking method

    Weiqiang Zhu;Gregory C Beroza

  • Earthquake transformer-an attentive deep-learning model for simultaneous earthquake detection and phase picking.

    S. Mostafa Mousavi;William L. Ellsworth;Weiqiang Zhu;Lindsay Y. Chuang

  • Low-frequency earthquakes in Shikoku, Japan, and their relationship to episodic tremor and slip

    David R. Shelly;Gregory C. Beroza;Satoshi Ide;Sho Nakamula

  • A scaling law for slow earthquakes

    Satoshi Ide;Gregory C. Beroza;David R. Shelly;Takahiko Uchide

  • A spatial random field model to characterize complexity in earthquake slip

    P. Martin Mai;Gregory C. Beroza

  • Shallow Dynamic Overshoot and Energetic Deep Rupture in the 2011 Mw 9.0 Tohoku-Oki Earthquake

    Satoshi Ide;Annemarie Baltay;Gregory C. Beroza

  • Does apparent stress vary with earthquake size

    Satoshi Ide;Gregory C. Beroza

  • Seismic Evidence for an Earthquake Nucleation Phase

    W. L. Ellsworth;G. C. Beroza

  • Slow Earthquakes and Nonvolcanic Tremor

    Gregory C. Beroza;Satoshi Ide

  • Deep-learning seismology

    Unknown

  • Oklahoma’s recent earthquakes and saltwater disposal

    F. Rall Walsh;Mark D. Zoback

  • Source Scaling Properties from Finite-Fault-Rupture Models

    P. Martin Mai;Gregory C. Beroza

  • Linearized inversion for fault rupture behavior: Application to the 1984 Morgan Hill, California, earthquake

    Gregory C. Beroza;Paul Spudich

  • STanford EArthquake Dataset (STEAD): A Global Data Set of Seismic Signals for AI

    S. Mostafa Mousavi;Yixiao Sheng;Weiqiang Zhu;Gregory C. Beroza

  • Mechanism of deep low frequency earthquakes: Further evidence that deep non-volcanic tremor is generated by shear slip on the plate interface

    Satoshi Ide;David R. Shelly;Gregory C. Beroza

  • Earthquake detection through computationally efficient similarity search.

    Clara E. Yoon;Ossian O’Reilly;Karianne J. Bergen;Gregory C. Beroza

  • Seismic Signal Denoising and Decomposition Using Deep Neural Networks

    Weiqiang Zhu;S. Mostafa Mousavi;Gregory C. Beroza

  • CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection

    S. Mostafa Mousavi;Weiqiang Zhu;Yixiao Sheng;Gregory C. Beroza

  • Detailed observations of California foreshock sequences: Implications for the earthquake initiation process

    Douglas A. Dodge;Gregory C. Beroza;W. L. Ellsworth

  • Apparent break in earthquake scaling due to path and site effects on deep borehole recordings

    Satoshi Ide;Gregory C. Beroza;Stephanie G. Prejean;William L. Ellsworth

Frequent Co-Authors

William L. Ellsworth
William L. Ellsworth Stanford University
Satoshi Ide
Satoshi Ide University of Tokyo
David R. Shelly
David R. Shelly United States Geological Survey
Justin L. Rubinstein
Justin L. Rubinstein United States Geological Survey
Xin Liu
Xin Liu Chinese Academy of Sciences
Paul A. Johnson
Paul A. Johnson Los Alamos National Laboratory
David D. Pollard
David D. Pollard Stanford University
Naoshi Hirata
Naoshi Hirata University of Tokyo
Clifford H. Thurber
Clifford H. Thurber University of Wisconsin–Madison
Peter Bailis
Peter Bailis Stanford University

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