What is he best known for?
The fields of study he is best known for:
- Statistics
- Seismology
- Mathematical analysis
John B. Rundle spends much of his time researching Seismology, Statistical physics, Slip, Induced seismicity and Scaling.
John B. Rundle frequently studies issues relating to Crust and Seismology.
His studies deal with areas such as Probability and statistics, Stochastic process, Critical phenomena and Measure as well as Statistical physics.
His Slip research includes elements of Active fault, Lithosphere, Asthenosphere, Shear and Mathematical model.
His research integrates issues of Poisson distribution, Earthquake risk, Earthquake prediction and Probabilistic logic in his study of Induced seismicity.
His Scaling research is multidisciplinary, incorporating perspectives in Magnitude, Large earthquakes and Self-organization.
His most cited work include:
- Statistical physics approach to understanding the multiscale dynamics of earthquake fault systems (295 citations)
- The growth of geological structures by repeated earthquakes, 1, conceptual framework (283 citations)
- The Growth of Geological Structures by Repeated Earthquakes 2. Field Examples of Continental Dip‐Slip Faults (225 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Seismology, Induced seismicity, Statistical physics, Scaling and Aftershock.
The Seismology study combines topics in areas such as Slip and Magnitude.
His research in Induced seismicity intersects with topics in Earthquake prediction, Large earthquakes, Informatics and Meteorology.
His Statistical physics study frequently intersects with other fields, such as Nucleation.
Scaling is closely attributed to Cellular automaton in his study.
John B. Rundle studies Foreshock, a branch of Aftershock.
He most often published in these fields:
- Seismology (52.74%)
- Induced seismicity (24.63%)
- Statistical physics (16.17%)
What were the highlights of his more recent work (between 2012-2021)?
- Seismology (52.74%)
- Induced seismicity (24.63%)
- Aftershock (17.16%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Seismology, Induced seismicity, Aftershock, Scaling and Magnitude.
He has researched Seismology in several fields, including Quake, Nowcasting and Interferometric synthetic aperture radar.
His Induced seismicity research is multidisciplinary, relying on both Large earthquakes, Completeness, Probabilistic forecasting, Weibull distribution and Eigenvalues and eigenvectors.
The study incorporates disciplines such as Geothermal gradient, Hazard analysis and Cumulative distribution function in addition to Aftershock.
His work carried out in the field of Scaling brings together such families of science as Statistical physics, Seismic hazard and Cellular automaton.
His work deals with themes such as Range, Statistical model, Statistics and Series, which intersect with Magnitude.
Between 2012 and 2021, his most popular works were:
- Nowcasting earthquakes: Nowcasting Earthquakes (34 citations)
- UAVSAR observations of triggered slip on the Imperial, Superstition Hills, and East Elmore Ranch Faults associated with the 2010 M 7.2 El Mayor‐Cucapah earthquake (24 citations)
- Nowcasting Earthquakes: A Comparison of Induced Earthquakes in Oklahoma and at the Geysers, California (23 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Seismology
- Artificial intelligence
John B. Rundle focuses on Seismology, Induced seismicity, Aftershock, Scaling and Magnitude.
The various areas that John B. Rundle examines in his Seismology study include Slip and Probabilistic forecasting.
John B. Rundle interconnects Space, Measure, Eigenvalues and eigenvectors and Nowcasting in the investigation of issues within Induced seismicity.
The concepts of his Aftershock study are interwoven with issues in Hazard analysis and Cumulative distribution function.
His Scaling study incorporates themes from Statistical physics, Limit and Cellular automaton.
Within one scientific family, John B. Rundle focuses on topics pertaining to Weibull distribution under Magnitude, and may sometimes address concerns connected to Landslide, Correlation function, Electricity grid and Event.
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