V. G. Kossobokov

3.0k total citations
100 papers, 1.9k citations indexed

About

V. G. Kossobokov is a scholar working on Geophysics, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, V. G. Kossobokov has authored 100 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Geophysics, 50 papers in Artificial Intelligence and 12 papers in Economics and Econometrics. Recurrent topics in V. G. Kossobokov's work include earthquake and tectonic studies (78 papers), Earthquake Detection and Analysis (69 papers) and Seismology and Earthquake Studies (46 papers). V. G. Kossobokov is often cited by papers focused on earthquake and tectonic studies (78 papers), Earthquake Detection and Analysis (69 papers) and Seismology and Earthquake Studies (46 papers). V. G. Kossobokov collaborates with scholars based in Russia, France and Italy. V. G. Kossobokov's co-authors include V. I. Keilis‐Borok, Anastasia Nekrasova, G. F. Panza, Antonella Peresan, Jean‐Louis Le Mouël, Vincent Courtillot, Max Wyss, James W. Dewey, John H. Healy and J. H. Healy and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Earth and Planetary Science Letters and Geophysical Research Letters.

In The Last Decade

V. G. Kossobokov

92 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
V. G. Kossobokov Russia 24 1.5k 852 211 191 181 100 1.9k
Roberto Carniel Italy 24 1.2k 0.8× 633 0.7× 57 0.3× 148 0.8× 98 0.5× 89 1.7k
R. Shcherbakov Canada 22 1.7k 1.2× 616 0.7× 152 0.7× 204 1.1× 72 0.4× 61 2.1k
Francesco Mulargia Italy 28 2.7k 1.9× 763 0.9× 709 3.4× 214 1.1× 115 0.6× 126 3.4k
Jiancang Zhuang Japan 29 2.7k 1.9× 1.5k 1.7× 202 1.0× 310 1.6× 99 0.5× 136 3.4k
A. A. Lyubushin Russia 19 810 0.6× 353 0.4× 84 0.4× 213 1.1× 99 0.5× 107 1.1k
V. I. Keilis‐Borok Russia 30 2.7k 1.9× 1.3k 1.5× 134 0.6× 462 2.4× 168 0.9× 93 3.4k
Christopher J. Bean Ireland 29 2.1k 1.5× 476 0.6× 133 0.6× 91 0.5× 59 0.3× 148 2.5k
R. Scarpa Italy 29 3.1k 2.2× 463 0.5× 266 1.3× 43 0.2× 98 0.5× 90 3.5k
A. Sornette France 13 1.1k 0.8× 333 0.4× 77 0.4× 323 1.7× 57 0.3× 19 1.5k
G. M. Molchan Russia 18 985 0.7× 491 0.6× 125 0.6× 277 1.5× 37 0.2× 52 1.4k

Countries citing papers authored by V. G. Kossobokov

Since Specialization
Citations

This map shows the geographic impact of V. G. Kossobokov'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. G. Kossobokov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. G. Kossobokov more than expected).

Fields of papers citing papers by V. G. Kossobokov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. G. Kossobokov. 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. G. Kossobokov. The network helps show where V. G. Kossobokov may publish in the future.

Co-authorship network of co-authors of V. G. Kossobokov

This figure shows the co-authorship network connecting the top 25 collaborators of V. G. Kossobokov. A scholar is included among the top collaborators of V. G. Kossobokov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with V. G. Kossobokov. V. G. Kossobokov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Yan, Fabio Romanelli, Antonella Peresan, et al.. (2025). The Mdesign for engineering applications of Neo-Deterministic Seismic Hazard Assessment (NDSHA) within the China Seismic Experimental Site (CSES). Engineering Geology. 358. 108415–108415.
2.
Nekrasova, Anastasia, et al.. (2024). Analysis of Spatial Clustering of Seismic Events by the DPS Topological Filtering Algorithm: Lake Baikal Region. Физика земли. 26–41.
3.
Nekrasova, Anastasia, et al.. (2023). Regional seismic risk assessment based on the Unified Scaling Law for Earthquakes: The Lake Baikal railway system. Soil Dynamics and Earthquake Engineering. 177. 108402–108402. 4 indexed citations
4.
Gibert, Dominique, Vincent Courtillot, Stéphanie Dumont, et al.. (2023). On the external forcing of global eruptive activity in the past 300 years. Sapientia (Algarve University). 4 indexed citations
5.
Kossobokov, V. G., et al.. (2023). Seismic Rigoletto: Hazards, risks and seismic roulette applications. Frontiers in Earth Science. 11. 7 indexed citations
6.
Kossobokov, V. G. & Anastasia Nekrasova. (2019). Unified Scaling Law for Earthquakes: Implications for Seismic Hazard and Risk Assessment. AGU Fall Meeting Abstracts. 2019.
7.
Nekrasova, Anastasia, Antonella Peresan, Andrea Magrin, & V. G. Kossobokov. (2016). The Unified Scaling Law for Earthquakes in the Friuli Venezia Giulia Region. EGU General Assembly Conference Abstracts. 3 indexed citations
8.
Nekrasova, Anastasia & V. G. Kossobokov. (2016). Unified scaling law for earthquakes in Crimea and Northern Caucasus. Doklady Earth Sciences. 470(2). 1056–1058. 8 indexed citations
9.
Kossobokov, V. G., Antonella Peresan, & G. F. Panza. (2015). On Operational Earthquake Forecast and Prediction Problems. Seismological Research Letters. 25 indexed citations
10.
Courtillot, Vincent, Jean‐Louis Le Mouël, V. G. Kossobokov, Dominique Gibert, & Fernando Lopes. (2013). Multi-Decadal Trends of Global Surface Temperature: A Broken Line with Alternating ~30 yr Linear Segments?. Atmospheric and Climate Sciences. 3(3). 364–371. 19 indexed citations
11.
Kossobokov, V. G. & Anastasia Nekrasova. (2010). Global Seismic Hazard Assessment Program Maps Are Misleading. AGU Fall Meeting Abstracts. 2010. 14 indexed citations
12.
Kossobokov, V. G. & A. Soloviev. (2008). Prediction of extreme events: Fundamentals and prerequisites of verification. Rossijskij žurnal nauk o zemle/Russian journal of earth sciences. 10(2). 1–24. 12 indexed citations
13.
Nekrasova, Anastasia, et al.. (2005). Seismic cascades in advance and after 26 December 2004 Sumatra-Andaman and other mega-earthquakes. AGU Fall Meeting Abstracts. 2005. 1 indexed citations
14.
Gorshkov, A. I., et al.. (2005). Recognition of Earthquake-Prone Areas: Validity of Results Obtained from 1972 to 2000. 37–44. 2 indexed citations
15.
Nekrasova, Anastasia & V. G. Kossobokov. (2005). Unified Scaling Law for Earthquakes: Mega-cities and urban agglomerations. AGUFM. 2005. 6 indexed citations
16.
Kossobokov, V. G.. (2005). Regional Earthquake Likelihood Models: A realm on shaky grounds?. AGUFM. 2005. 2 indexed citations
17.
Kossobokov, V. G. & Anastasia Nekrasova. (2003). Generalized Gutenberg-Richter recurrence law. EGS - AGU - EUG Joint Assembly. 6597. 5 indexed citations
18.
Nekrasova, Anastasia & V. G. Kossobokov. (2003). Generalized Gutenberg-Richter recurrence law: Global map of parameters. EGS - AGU - EUG Joint Assembly. 3801. 7 indexed citations
19.
Kossobokov, V. G.. (2003). West Pacific short-term earthquake forecast: An independent assessment. EGS - AGU - EUG Joint Assembly. 6539. 1 indexed citations
20.
Nekrasova, Anastasia & V. G. Kossobokov. (2002). Generalizing the Gutenberg-Richter scaling law. AGU Fall Meeting Abstracts. 2002. 12 indexed citations

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.

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