V. I. Keilis‐Borok
- Geophysics top 0.5%
- earthquake and tectonic studies 59
- Earthquake Detection and Analysis 43
- High-pressure geophysics and materials 9
- Seismic Imaging and Inversion Techniques 8
- Seismic Waves and Analysis 7
- Geological and Geochemical Analysis 7
- Artificial Intelligence top 1%
- Seismology and Earthquake Studies 42
- Economics and Econometrics top 2%
- Complex Systems and Time Series Analysis 17
- Condensed Matter Physics top 10%
V. I. Keilis‐Borok
89 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 107
- Geophysics 2.7k
- Artificial Intelligence 1.3k
- Economics and Econometrics 462
- Statistical and Nonlinear Physics 150
- Condensed Matter Physics 140
Countries citing papers authored by V. I. Keilis‐Borok
This map shows the geographic impact of V. I. Keilis‐Borok's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by V. I. Keilis‐Borok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. I. Keilis‐Borok more than expected).
Fields of papers citing papers by V. I. Keilis‐Borok
This network shows the impact of papers produced by V. I. Keilis‐Borok. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by V. I. Keilis‐Borok. The network helps show where V. I. Keilis‐Borok may publish in the future.
Co-authorship network
The 25 scholars most cited alongside V. I. Keilis‐Borok, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 6 | |
| 2 | 2010 | 5 | |
| 3 | 2010 | 12 | |
| 4 | 2008 | 290 | |
| 5 | GEMS: the opportunity for stress-forecasting all damaging earthquakes worldwide | 2006 | 6 |
| 6 | 2005 | 43 | |
| 7 | Seismological Evidence for the Brittle-Ductile Interaction Hypothesis on Earthquake Loading | 2004 | 1 |
| 8 | Earthquake Prediction and Disaster Preparedness: Interactive Algorithms | 2004 | 1 |
| 9 | Short-Term Premonitory Rise of the Earthquake Correlation Range | 2003 | 3 |
| 10 | Cascade of clusters - from metaphor to algorithm? | 2002 | 1 |
| 11 | 2000 | 29 | |
| 12 | 2000 | 22 | |
| 13 | 1995 | 0 | |
| 14 | 1990 | 142 | |
| 15 | Деформирование геофизической среды и сейсмический процесс | 1987 | 14 |
| 16 | Математические методы в сейсмологии и геодинамике | 1986 | 3 |
| 17 | 1980 | 38 | |
| 18 | 1980 | 12 | |
| 19 | 1972 | 60 | |
| 20 | 1967 | 94 |
About V. I. Keilis‐Borok
V. I. Keilis‐Borok is a scholar working on Geophysics, Artificial Intelligence and Economics and Econometrics, having authored 93 papers that have together received 3.4k indexed citations. Recurring topics across this work include earthquake and tectonic studies (59 papers), Earthquake Detection and Analysis (43 papers), Seismology and Earthquake Studies (42 papers), Complex Systems and Time Series Analysis (17 papers), High-pressure geophysics and materials (9 papers), Seismic Imaging and Inversion Techniques (8 papers), Seismic Waves and Analysis (7 papers) and Geological and Geochemical Analysis (7 papers). The work is most often cited by research in Geophysics (2.7k citations), Artificial Intelligence (1.3k citations) and Economics and Econometrics (462 citations). V. I. Keilis‐Borok has collaborated with scholars based in Russia, United States and France. Frequent co-authors include V. G. Kossobokov, Ilya Zaliapin, Andrei Gabrielov, I. M. Rotwain, L. Knopoff, H. Vernon Wong, П. Н. Шебалин, Michael Ghil, A. Soloviev and Donald L. Turcotte. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.