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Earth Science

D-Index
68
Citations
17204
World Ranking
1137
National Ranking
520

Overview

Egill Hauksson is affiliated with the California Institute of Technology in the United States. Their research primarily spans the fields of Earth and Planetary Sciences and Computer Science, with emphases on Geophysics, Artificial Intelligence, and Mechanics of Materials.

The scientist's work addresses various topics including:

  • Earthquake and tectonic studies
  • Seismology and Earthquake Studies
  • Seismic Waves and Analysis
  • Geological and Geochemical Analysis
  • High-pressure geophysics and materials
  • Seismic Imaging and Inversion Techniques
  • Geochemistry and Geologic Mapping

Egill Hauksson has contributed to multiple publications, with frequent venues of publication including:

  • Seismological Research Letters
  • Abstracts with programs - Geological Society of America
  • Journal of Geophysical Research Solid Earth
  • Bulletin of the Seismological Society of America
  • Zenodo (CERN European Organization for Nuclear Research)

Their recent papers include:

  • "How Often Can Earthquake Early Warning Systems Alert Sites With High-Intensity Ground Motion?", 2020, Journal of Geophysical Research Solid Earth
  • "Caltech/USGS Southern California Seismic Network (SCSN) and Southern California Earthquake Data Center (SCEDC): Data Availability for the 2019 Ridgecrest Sequence", 2020, Seismological Research Letters
  • "Detailed 3D Fault Representations for the 2019 Ridgecrest, California, Earthquake Sequence", 2020, Bulletin of the Seismological Society of America
  • "Refined Earthquake Focal Mechanism Catalog for Southern California Derived With Deep Learning Algorithms", 2023, Journal of Geophysical Research Solid Earth
  • "Seismicity, Stress State, and Style of Faulting of the Ridgecrest-Coso Region from the 1930s to 2019: Seismotectonics of an Evolving Plate Boundary Segment", 2020, Bulletin of the Seismological Society of America

Frequent collaborators of Egill Hauksson include:

  • Ellen Yu
  • Zachary E. Ross
  • Lucile M. Jones
  • Men-Andrin Meier
  • Angela Chung

This body of work integrates advanced methodologies from artificial intelligence with seismological data analysis to study seismic waves, stress states, and fault mechanics. Their research contributes to understanding earthquake early warning systems, detailed fault modeling, and seismic activity monitoring in Southern California.

Best Publications

  • Near-Field Investigations of the Landers Earthquake Sequence, April to July 1992

    Kerry Sieh;Lucile M Jones;Egill Hauksson;Kenneth W Hudnut

  • Waveform Relocated Earthquake Catalog for Southern California (1981 to June 2011)

    Egill Hauksson;Wenzheng Yang;Peter M. Shearer

  • Generalized Seismic Phase Detection with Deep Learning

    Zachary E. Ross;Men-Andrin Meier;Egill Hauksson;Thomas H. Heaton

  • P Wave Arrival Picking and First-Motion Polarity Determination With Deep Learning

    Zachary E. Ross;Men-Andrin Meier;Egill Hauksson

  • The static stress change triggering model: Constraints from two southern California aftershock sequences

    Jeanne L. Hardebeck;Julie J. Nazareth;Egill Hauksson

  • Determination of earthquake energy release and ML using TERRAscope

    Hiroo Kanamori;Jim Mori;Egill Hauksson;Thomas H. Heaton

  • Comprehensive analysis of earthquake source spectra in southern California

    Peter M. Shearer;Germán A. Prieto;Egill Hauksson

  • Crustal stress field in southern California and its implications for fault mechanics

    Jeanne L. Hardebeck;Egill Hauksson

  • Hierarchical interlocked orthogonal faulting in the 2019 Ridgecrest earthquake sequence.

    Zachary E. Ross;Benjamín Idini;Zhe Jia;Oliver L. Stephenson

  • Crustal structure and seismicity distribution adjacent to the Pacific and North America plate boundary in southern California

    Egill Hauksson

  • Searching for hidden earthquakes in Southern California

    Zachary E. Ross;Daniel T. Trugman;Egill Hauksson;Peter M. Shearer

  • The 1992 Landers Earthquake Sequence: Seismological observations

    Egill Hauksson;Lucile M. Jones;Kate Hutton;Donna Eberhart-Phillips

  • Superficial simplicity of the 2010 El Mayor-Cucapah earthquake of Baja California in Mexico

    Shengji Wei;Eric J Fielding;Sebastien Leprince;Anthony Sladen;Anthony Sladen

  • Machine Learning Seismic Wave Discrimination: Application to Earthquake Early Warning

    Zefeng Li;Men-Andrin Meier;Egill Hauksson;Zhongwen Zhan

  • Community Fault Model (CFM) for Southern California

    Andreas Plesch;John H. Shaw;Christine Benson;William A. Bryant

  • Radon content of groundwater as an earthquake precursor: Evaluation of worldwide data and physical basis

    Egill Hauksson

  • Earthquake Monitoring in Southern California for Seventy-Seven Years (1932-2008)

    Kate Hutton;Jochen Woessner;Egill Hauksson

  • Applying a three-dimensional velocity model, waveform cross correlation, and cluster analysis to locate southern California seismicity from 1981 to 2005

    Guoqing Lin;Guoqing Lin;Peter M. Shearer;Egill Hauksson

  • Southern California Hypocenter Relocation with Waveform Cross- Correlation, Part 2: Results Using Source-Specific Station Terms and Cluster Analysis

    Peter Shearer;Egill Hauksson;Guoqing Lin

  • The 1994 Northridge earthquake sequence in California: Seismological and tectonic aspects

    Egill Hauksson;Lucile M. Jones;Kate Hutton

Frequent Co-Authors

Peter M. Shearer
Peter M. Shearer University of California, San Diego
Thomas H. Heaton
Thomas H. Heaton California Institute of Technology
Lucile M. Jones
Lucile M. Jones United States Geological Survey
Hiroo Kanamori
Hiroo Kanamori California Institute of Technology
Zachary E. Ross
Zachary E. Ross California Institute of Technology
Kenneth W. Hudnut
Kenneth W. Hudnut United States Geological Survey
Jim Mori
Jim Mori Kyoto University
Robert W. Clayton
Robert W. Clayton California Institute of Technology
Joann M. Stock
Joann M. Stock California Institute of Technology
Jeanne L. Hardebeck
Jeanne L. Hardebeck United States Geological Survey

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