What is he best known for?
The fields of study he is best known for:
- Statistics
- Seismology
- Epistemology
Vladimir Keilis-Borok mainly investigates Seismology, Induced seismicity, Magnitude, Earthquake prediction and Algorithm.
Many of his studies involve connections with topics such as Pattern recognition and Seismology.
Vladimir Keilis-Borok works mostly in the field of Induced seismicity, limiting it down to concerns involving Cluster analysis and, occasionally, Poisson distribution and Field.
The Magnitude study which covers Range that intersects with Instability, Fault and Nonlinear system.
His biological study spans a wide range of topics, including Empirical distribution function and Foreshock.
He combines subjects such as Seismic belt, Secular variation, Earthquake statistics and Spatial variability with his study of Algorithm.
His most cited work include:
- Premonitory activation of earthquake flow: algorithm M8 (238 citations)
- Clustering Analysis of Seismicity and Aftershock Identification (190 citations)
- Extreme events: dynamics, statistics and prediction (152 citations)
What are the main themes of his work throughout his whole career to date?
Seismology, Earthquake prediction, Induced seismicity, Magnitude and Term are his primary areas of study.
His is doing research in Fault, Aftershock, Lithosphere, Large earthquakes and Earthquake swarm, both of which are found in Seismology.
Vladimir Keilis-Borok interconnects Algorithm, Earthquake simulation and Foreshock in the investigation of issues within Earthquake prediction.
His Algorithm study also includes fields such as
- Probabilistic forecasting which intersects with area such as Econometrics,
- Probabilistic logic which connect with Predictability.
His Induced seismicity research is multidisciplinary, incorporating perspectives in Tectonics, Cluster analysis, Range, Statistical physics and Nonlinear system.
In his research, Vladimir Keilis-Borok performs multidisciplinary study on Magnitude and Intermediate term.
He most often published in these fields:
- Seismology (59.41%)
- Earthquake prediction (57.43%)
- Induced seismicity (51.49%)
What were the highlights of his more recent work (between 2006-2015)?
- Earthquake prediction (57.43%)
- Extreme events (9.90%)
- Predictability (13.86%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Earthquake prediction, Extreme events, Predictability, Disaster preparedness and Seismology.
His study explores the link between Earthquake prediction and topics such as Relation that cross with problems in Econometrics.
Vladimir Keilis-Borok usually deals with Predictability and limits it to topics linked to Statistical physics and Property.
Earthquake catalog, Induced seismicity and Large earthquakes are among the areas of Seismology where Vladimir Keilis-Borok concentrates his study.
His research integrates issues of Fault, Lithosphere and Geophysics in his study of Earthquake catalog.
His work carried out in the field of Natural hazard brings together such families of science as Extreme value theory and Time series.
Between 2006 and 2015, his most popular works were:
- Clustering Analysis of Seismicity and Aftershock Identification (190 citations)
- Extreme events: dynamics, statistics and prediction (152 citations)
- Advance prediction of the March 11, 2011 Great East Japan Earthquake: A missed opportunity for disaster preparedness (45 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Epistemology
- Mathematical analysis
Vladimir Keilis-Borok focuses on Earthquake prediction, Probability and statistics, Poison control, Structure and Econometrics.
Earthquake prediction is closely attributed to Earthquake casualty estimation in his study.
The various areas that Vladimir Keilis-Borok examines in his Probability and statistics study include Poisson distribution, Cluster analysis, Aftershock, Seismology and Weibull distribution.
His Poison control investigation overlaps with other disciplines such as Forensic engineering, Preparedness, Disaster preparedness, Missed opportunity and Nuclear power plant.
His study on Structure is intertwined with other disciplines of science such as Probabilistic logic, Probabilistic forecasting, Diagram, Relation and Extension.
His Econometrics study combines topics from a wide range of disciplines, such as Algorithm, Extreme value theory and Time series.
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