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Earth Science

D-Index
65
Citations
12823
World Ranking
1435
National Ranking
642

Research.com Recognitions

  • 2017 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2008 - Fellow of American Geophysical Union (AGU)
  • 2004 - Fellow of American Physical Society (APS) Citation For innovative research and fundamental discoveries in the physics of driven nonlinear threshold systems, especially earthquake fault systems, revealed by computational simulations coupled with analysis using statistical physics

Overview

John B. Rundle is a researcher affiliated with the University of California, Davis in the United States. Their work spans multiple disciplines with a main focus on Earth and Planetary Sciences as well as Computer Science. Within these fields, their research emphasizes geophysics and artificial intelligence, applied to various aspects of earthquake science and related phenomena.

Their research topics cover a broad range of subjects including earthquake and tectonic studies, earthquake detection and analysis, seismology and earthquake studies, complex systems and time series analysis, GNSS positioning and interference, theoretical and computational physics, and synthetic aperture radar applications and techniques.

Rundle's publication record includes numerous papers across several journals, with notable recurring venues such as:

  • Earth and Space Science
  • arXiv (Cornell University)
  • GeoHazards
  • Journal of Geophysical Research Machine Learning and Computation
  • Reports on Progress in Physics

Some of the recent papers published by John B. Rundle include:

  • The complex dynamics of earthquake fault systems: new approaches to forecasting and nowcasting of earthquakes (2021, Reports on Progress in Physics)
  • Nowcasting Earthquakes in Southern California With Machine Learning: Bursts, Swarms, and Aftershocks May Be Related to Levels of Regional Tectonic Stress (2020, Earth and Space Science)
  • Nowcasting Earthquakes: Imaging the Earthquake Cycle in California With Machine Learning (2021, Earth and Space Science)
  • Nowcasting Earthquakes by Visualizing the Earthquake Cycle with Machine Learning: A Comparison of Two Methods (2021, Surveys in Geophysics)

Rundle often collaborates with a core group of co-authors, including:

  • Andrea Donnellan
  • Lisa Grant Ludwig
  • Geoffrey Fox
  • Donald L. Turcotte
  • James P. Crutchfield

Throughout their career, John B. Rundle has been recognized by several professional societies. Awards include fellowships from the American Association for the Advancement of Science (2017), the American Geophysical Union (2008), and the American Physical Society (2004). The APS fellowship citation highlights their innovative research and fundamental discoveries in the physics of driven nonlinear threshold systems, particularly earthquake fault systems, using computational simulations and statistical physics.

Best Publications

  • Statistical physics approach to understanding the multiscale dynamics of earthquake fault systems

    John B. Rundle;Donald L. Turcotte;Robert Shcherbakov;William Klein;William Klein

  • The growth of geological structures by repeated earthquakes, 1, conceptual framework

    Geoffrey C. P. King;Ross S. Stein;John B. Rundle

  • The Growth of Geological Structures by Repeated Earthquakes 2. Field Examples of Continental Dip‐Slip Faults

    Ross S. Stein;Geoffrey C. P. King;John B. Rundle

  • A viscoelastic coupling model for the cyclic deformation due to periodically repeated Earthquakes at subduction zones

    Wayne Thatcher;John B. Rundle

  • Self-organization in leaky threshold systems: The influence of near-mean field dynamics and its implications for earthquakes, neurobiology, and forecasting

    J. B. Rundle;K. F. Tiampo;W. Klein;J. S. Sá Martins

  • A generalized Omori's law for earthquake aftershock decay

    Robert Shcherbakov;Donald L. Turcotte;John B. Rundle

  • A simplified spring-block model of earthquakes

    Stephen R. Brown;Christopher H. Scholz;John B. Rundle

  • A model for the earthquake cycle in underthrust zones

    Wayne Thatcher;John B. Rundle

  • Derivation of the complete Gutenberg‐Richter magnitude‐frequency relation using the principle of scale invariance

    John B. Rundle

  • Geocomplexity and the Physics of Earthquakes

    John Rundle;William Klein;Donald Lawson Turcotte

  • Precursory Seismic Activation and Critical-point Phenomena

    John B. Rundle;William Klein;Donald L. Turcotte;Bruce D. Malamud

  • Viscoelastic‐gravitational deformation by a rectangular thrust fault in a layered Earth

    John B. Rundle

  • Lithospheric loading by the 1896 Riku‐u Earthquake, northern Japan: Implications for plate flexure and asthenospheric rheology

    Wayne Thatcher;Tokihiko Matsuda;Teruyuki Kato;John B. Rundle

  • Linear pattern dynamics in nonlinear threshold systems

    John B. Rundle;W. Klein;Kristy Tiampo;Susanna Gross

  • Viscoelastic crustal deformation by finite quasi‐static sources

    John B. Rundle

  • Numerical simulation of earthquake sequences

    John B. Rundle;David D. Jackson

  • Mean-field threshold systems and phase dynamics: An application to earthquake fault systems

    K. F. Tiampo;J. B. Rundle;S. McGinnis;S. J. Gross

  • Static elastic‐gravitational deformation of a layered half space by point couple sources

    John B. Rundle

  • A physical model for earthquakes: 2. Application to southern California

    John B. Rundle

  • Spherical and ellipsoidal volcanic sources at Long Valley caldera, California, using a genetic algorithm inversion technique

    K.F Tiampo;J.B Rundle;J Fernandez;J.O Langbein

  • Using earthquake intensities to forecast earthquake occurrence times

    J. R. Holliday;J. B. Rundle;K. F. Tiampo;D. L. Turcotte

Frequent Co-Authors

Kristy F. Tiampo
Kristy F. Tiampo University of Colorado Boulder
Andrea Donnellan
Andrea Donnellan Jet Propulsion Lab
Donald L. Turcotte
Donald L. Turcotte University of California, Davis
Geoffrey C. Fox
Geoffrey C. Fox University of Virginia
Marlon Pierce
Marlon Pierce Indiana University
Terry E. Tullis
Terry E. Tullis Brown University
Wayne Thatcher
Wayne Thatcher United States Geological Survey
Yehuda Ben-Zion
Yehuda Ben-Zion University of Southern California
Ross S. Stein
Ross S. Stein United States Geological Survey
Bruce D. Malamud
Bruce D. Malamud King's College London

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