Greg Beroza

Greg Beroza

Stanford University

H-index: 75

North America-United States

About Greg Beroza

Greg Beroza, With an exceptional h-index of 75 and a recent h-index of 50 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Seismology, Geophysics, Geology, Earth Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Geometry and mechanics of a complex fault system from deep analysis of seismic sequences within the Irpinia Near Fault Observatory

Characterization and evolution of seismic sequences in the normal fault environment of the Southern Apennines

Applications of deep neural networks in exploration seismology: A technical survey

Sea level changes affect seismicity rates in a hydrothermal system near Istanbul

Months-long preparation of the 2023 MW 7.8 Kahramanmaraş earthquake, Türkiye

Adaptive Coda‐Wave Imaging With Voronoi Tessellation

Explainable machine learning for labquake prediction using catalog-driven features

Machine Learning Developments and Applications in Solid‐Earth Geosciences: Fad or Future?

Greg Beroza Information

University

Position

Department of Geophysics

Citations(all)

23573

Citations(since 2020)

11187

Cited By

15658

hIndex(all)

75

hIndex(since 2020)

50

i10Index(all)

183

i10Index(since 2020)

145

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Greg Beroza Skills & Research Interests

Seismology

Geophysics

Geology

Earth Science

Top articles of Greg Beroza

Title

Journal

Author(s)

Publication Date

Geometry and mechanics of a complex fault system from deep analysis of seismic sequences within the Irpinia Near Fault Observatory

Gaetano Festa

Francesco Scotto di Uccio

Grazia De Landro

Luca Elia

Maddalena Michele

...

2024/3/7

Characterization and evolution of seismic sequences in the normal fault environment of the Southern Apennines

Francesco Scotto di Uccio

Maddalena Michele

Claudio Strumia

Mariano Supino

Gregory C Beroza

...

2024/1/15

Applications of deep neural networks in exploration seismology: A technical survey

Geophysics

S Mostafa Mousavi

Gregory C Beroza

Tapan Mukerji

Majid Rasht-Behesht

2024/1/1

Sea level changes affect seismicity rates in a hydrothermal system near Istanbul

Geophysical Research Letters

P Martínez‐Garzón

GC Beroza

GM Bocchini

M Bohnhoff

2023

Months-long preparation of the 2023 MW 7.8 Kahramanmaraş earthquake, Türkiye

Grzegorz Kwiatek

Patricia Martínez-Garzón

Dirk Becker

Georg Dresen

Fabrice Cotton

...

2023/4/7

Adaptive Coda‐Wave Imaging With Voronoi Tessellation

Journal of Geophysical Research: Solid Earth

Shujuan Mao

William L Ellsworth

Gregory C Beroza

2023/8

Explainable machine learning for labquake prediction using catalog-driven features

Earth and Planetary Science Letters

Sadegh Karimpouli

Danu Caus

Harsh Grover

Patricia Martínez-Garzón

Marco Bohnhoff

...

2023/11/15

Machine Learning Developments and Applications in Solid‐Earth Geosciences: Fad or Future?

Yunyue Elita Li

Daniel O’malley

Greg Beroza

Andrew Curtis

Paul Johnson

2023/1

Earthquake phase association with graph neural networks

Bulletin of the Seismological Society of America

Ian W McBrearty

Gregory C Beroza

2023/4/1

A Time‐Domain Approach for Accurate Spectral Source Estimation with Application to Ridgecrest, California, Earthquakes

Bulletin of the Seismological Society of America

Fatimah Al‐Ismail

William L Ellsworth

Gregory C Beroza

2023/6/1

Deep Learning for Deep Earthquakes: Insights from OBS Observations of the Tonga Subduction Zone

Ziyi Xi

Songqiao Shawn Wei

Weiqiang Zhu

Greg Beroza

Yaqi Jie

...

2023/11/6

QuakeFlow: a scalable machine-learning-based earthquake monitoring workflow with cloud computing

Geophysical Journal International

Weiqiang Zhu

Alvin Brian Hou

Robert Yang

Avoy Datta

S Mostafa Mousavi

...

2023/1

Deep Learning Probabilistic Regression for Onset Time Determination

Jesse Williams

Greg Beroza

John Pace

Artemii Novoselov

2023/3/29

Machine learning in earthquake seismology

S Mostafa Mousavi

Gregory C Beroza

2023/5/31

Ambient noise differential adjoint tomography reveals fluid-bearing rocks near active faults in Los Angeles

Nature Communications

Xin Liu

Gregory C Beroza

Hongyi Li

2023/10/28

An ensemble approach to characterizing trailing‐induced seismicity

Seismological Society of America

Ryan Schultz

William L Ellsworth

Gregory C Beroza

2023/3/1

A mitigation strategy for the prediction inconsistency of neural phase pickers

Seismological Society of America

Yongsoo Park

Gregory C Beroza

William L Ellsworth

2023/5/1

En echelon faults reactivated by wastewater disposal near Musreau Lake, Alberta

Geophysical Journal International

Ryan Schultz

Yongsoo Park

Albert Leonardo Aguilar Suarez

William L Ellsworth

Gregory C Beroza

2023/10

PubDAS: a public distributed acoustic sensing datasets repository for geosciences

Seismological Society of America

Zack J Spica

Jonathan Ajo‐Franklin

Gregory C Beroza

Biondo Biondi

Feng Cheng

...

2023/3/1

Comparing and integrating artificial intelligence and similarity search detection techniques: application to seismic sequences in Southern Italy

Geophysical Journal International

Francesco Scotto di Uccio

Antonio Scala

Gaetano Festa

Matteo Picozzi

Gregory C Beroza

2023/5

See List of Professors in Greg Beroza University(Stanford University)

Co-Authors

H-index: 107
Mark Zoback

Mark Zoback

Stanford University

H-index: 52
Paul Martin Mai

Paul Martin Mai

King Abdullah University of Science and Technology

H-index: 32
Germán A. Prieto

Germán A. Prieto

Universidad Nacional de Colombia

H-index: 20
Marine Denolle

Marine Denolle

Harvard University

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