V
Vladimir Keilis-Borok
Researcher at University of California, Los Angeles
Publications - 75
Citations - 3303
Vladimir Keilis-Borok is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Earthquake prediction & Induced seismicity. The author has an hindex of 31, co-authored 75 publications receiving 3034 citations. Previous affiliations of Vladimir Keilis-Borok include University of California & International Institute of Minnesota.
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Clustering Analysis of Seismicity and Aftershock Identification
TL;DR: A statistical methodology for clustering analysis of seismicity in the time-space-energy domain is introduced and used to establish the existence of two statistically distinct populations of earthquakes: clustered and nonclustered.
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Premonitory activation of earthquake flow: algorithm M8
TL;DR: In this article, the authors show that the strongest earthquakes which have recently occurred in different regions of the world are preceded by specific activation of the earthquake flow in the lower magnitude range.
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Extreme events: dynamics, statistics and prediction
Michael Ghil,Michael Ghil,Pascal Yiou,Stephane Hallegatte,Bruce D. Malamud,Philippe Naveau,A. Soloviev,Petra Friederichs,Vladimir Keilis-Borok,Dmitri Kondrashov,Vladimir Kossobokov,Olivier Mestre,C. Nicolis,Henning W. Rust,Peter Shebalin,Mathieu Vrac,Annette Witt,Annette Witt,Ilya Zaliapin +18 more
TL;DR: Two important results refer to the complementarity of spectral analysis of a time series in terms of the continuous and the discrete part of its power spectrum and the need for coupled modeling of natural and socio-economic systems.
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Pattern recognition applied to earthquake epicenters in California
I M Gel'fand,Sh. A. Guberman,Vladimir Keilis-Borok,Leon Knopoff,Frank Press,E.Ya. Ranzman,I.M. Rotwain,A.M. Sadovsky +7 more
TL;DR: In this article, a pattern recognition procedure is explained which uses geological data and the earthquake history of a region, in this case California, and learns how to separate earthquake epicenters from other places.
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Diagnosis of Time of Increased Probability of strong earthquakes in different regions of the world: algorithm CN
TL;DR: In this article, an algorithm for intermediate-term earthquake prediction is suggested which allows diagnosis of the times of increased probability of strong earthquakes (TIPs), which are declared for the time period of one year and an area with linear dimensions of a few hundred kilometers.