R. Shcherbakov

2.9k total citations · 1 hit paper
61 papers, 2.1k citations indexed

About

R. Shcherbakov is a scholar working on Geophysics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, R. Shcherbakov has authored 61 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Geophysics, 19 papers in Artificial Intelligence and 10 papers in Condensed Matter Physics. Recurrent topics in R. Shcherbakov's work include earthquake and tectonic studies (40 papers), Earthquake Detection and Analysis (31 papers) and Seismology and Earthquake Studies (13 papers). R. Shcherbakov is often cited by papers focused on earthquake and tectonic studies (40 papers), Earthquake Detection and Analysis (31 papers) and Seismology and Earthquake Studies (13 papers). R. Shcherbakov collaborates with scholars based in Canada, United States and Japan. R. Shcherbakov's co-authors include Donald L. Turcotte, John B. Rundle, K. F. Tiampo, William I. Newman, W. Klein, C. G. Sammis, Gail M. Atkinson, G. Yakovlev, Yosihiko Ogata and R. M. Harrington and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

R. Shcherbakov

54 papers receiving 2.1k citations

Hit Papers

Hydraulic Fracturing and Seismicity in the Western Canada... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Shcherbakov Canada 22 1.7k 616 239 204 161 61 2.1k
Christopher J. Bean Ireland 29 2.1k 1.3× 476 0.8× 184 0.8× 91 0.4× 111 0.7× 148 2.5k
Sebastian Hainzl Germany 40 4.5k 2.7× 1.2k 2.0× 212 0.9× 178 0.9× 211 1.3× 153 4.8k
V. P. Dimri India 21 1.2k 0.7× 345 0.6× 127 0.5× 138 0.7× 119 0.7× 96 1.6k
A. Sornette France 13 1.1k 0.7× 333 0.5× 154 0.6× 323 1.6× 71 0.4× 19 1.5k
P. Okubo United States 32 2.9k 1.7× 550 0.9× 222 0.9× 83 0.4× 51 0.3× 89 3.2k
Francesco Mulargia Italy 28 2.7k 1.6× 763 1.2× 235 1.0× 214 1.0× 76 0.5× 126 3.4k
Hiroyuki Nagahama Japan 26 1.1k 0.6× 274 0.4× 298 1.2× 30 0.1× 98 0.6× 147 1.7k
Olivier Lengliné France 20 1.2k 0.7× 241 0.4× 259 1.1× 39 0.2× 74 0.5× 54 1.6k
Lucile M. Jones United States 34 4.4k 2.6× 1.3k 2.1× 164 0.7× 117 0.6× 67 0.4× 71 4.8k
Danijel Schorlemmer Germany 33 4.0k 2.4× 1.8k 2.8× 296 1.2× 142 0.7× 84 0.5× 103 4.4k

Countries citing papers authored by R. Shcherbakov

Since Specialization
Citations

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

Fields of papers citing papers by R. Shcherbakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Shcherbakov. 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 R. Shcherbakov. The network helps show where R. Shcherbakov may publish in the future.

Co-authorship network of co-authors of R. Shcherbakov

This figure shows the co-authorship network connecting the top 25 collaborators of R. Shcherbakov. A scholar is included among the top collaborators of R. Shcherbakov 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 R. Shcherbakov. R. Shcherbakov 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
2.
Shcherbakov, R., et al.. (2024). Unsupervised clustering of mining-induced microseismicity provides insights into source mechanisms. International Journal of Rock Mechanics and Mining Sciences. 183. 105905–105905. 1 indexed citations
3.
Shcherbakov, R., et al.. (2024). Leveraging the ETAS model to forecast mining microseismicity. Geophysical Journal International. 238(3). 1491–1504. 3 indexed citations
4.
Shcherbakov, R., et al.. (2023). Statistical and clustering analysis of microseismicity from a Saskatchewan potash mine. Frontiers in Applied Mathematics and Statistics. 9. 6 indexed citations
5.
Shcherbakov, R., et al.. (2023). Microseismic event locations and source mechanisms using dominant guided waves recorded in an underground potash mine. Geophysics. 89(2). B51–B63. 1 indexed citations
6.
Shcherbakov, R.. (2023). Statistics of Weibull Record-Breaking Events. Mathematics. 11(3). 635–635.
7.
Shcherbakov, R., et al.. (2023). Testing the forecasting skills of aftershock models using a Bayesian framework. Frontiers in Applied Mathematics and Statistics. 9. 2 indexed citations
8.
Gentili, Stefania, Rita Di Giovambattista, R. Shcherbakov, & Filippos Vallianatos. (2022). Editorial of the Special Issue “Statistics and Pattern Recognition Applied to the Spatio-Temporal Properties of Seismicity”. Applied Sciences. 12(9). 4504–4504.
9.
Shcherbakov, R.. (2021). Statistics and Forecasting of Aftershocks During the 2019 Ridgecrest, California, Earthquake Sequence. Journal of Geophysical Research Solid Earth. 126(2). 17 indexed citations
10.
Shcherbakov, R., et al.. (2020). Statistical Modeling and Characterization of Induced Seismicity Within the Western Canada Sedimentary Basin. Journal of Geophysical Research Solid Earth. 125(12). 17 indexed citations
11.
Shcherbakov, R., et al.. (2019). Statistical Modelling and Characterization of Induced Seismicity Across the Western Canada Sedimentary Basin. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
12.
Shcherbakov, R., Jiancang Zhuang, Gert Zöller, & Yosihiko Ogata. (2019). Forecasting the magnitude of the largest expected earthquake. Nature Communications. 10(1). 4051–4051. 57 indexed citations
13.
Shcherbakov, R., et al.. (2018). Stochastic simulation of hydraulic fracturing induced seismicity: case studies in Alberta, Canada. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
14.
Shcherbakov, R., et al.. (2016). Power-law rheology controls aftershock triggering and decay. Scientific Reports. 6(1). 36668–36668. 16 indexed citations
15.
Shcherbakov, R., et al.. (2012). Statistical analysis of the 2010 M W 7.1 Darfield Earthquake aftershock sequence. New Zealand Journal of Geology and Geophysics. 55(3). 305–311. 20 indexed citations
16.
Shcherbakov, R., et al.. (2012). Scaling properties of planetary calderas and terrestrial volcanic eruptions. Nonlinear processes in geophysics. 19(6). 585–593. 2 indexed citations
17.
Tiampo, K. F., et al.. (2010). Declustering seismicity using the Thirumalai-Mountain metric. AGUFM. 2010. 1 indexed citations
18.
Shcherbakov, R., G. Yakovlev, Donald L. Turcotte, & John B. Rundle. (2005). Model for the Distribution of Aftershock Interoccurrence Times. Physical Review Letters. 95(21). 218501–218501. 91 indexed citations
19.
Turcotte, D. L. & R. Shcherbakov. (2002). Is the Martian Crust also the Martian Elastic Lithosphere. Research Portal (King's College London). 1001. 1 indexed citations
20.
Turcotte, D. L., R. Shcherbakov, Bruce D. Malamud, & A. B. Kucinskas. (2001). Analyses of Mars Topography, Gravity and Aroid: Implications for Tharsis and Hellas. Lunar and Planetary Science Conference. 1006. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026