Danila Chebrov
Impact in
- Geophysics top 5%
- earthquake and tectonic studies
- Earthquake Detection and Analysis
- High-pressure geophysics and materials
- Geological and Geochemical Analysis
- Seismic Waves and Analysis
Papers in
- Geophysics 42
- earthquake and tectonic studies 36
- Earthquake Detection and Analysis 21
- High-pressure geophysics and materials 20
- Geological and Geochemical Analysis 12
- Seismic Waves and Analysis 7
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- Seismology and Earthquake Studies 6
- Co-authors
- S. Ya. Droznina (15 shared papers)Alexander Gusev (5 shared papers)Н. М. Шапиро (6 shared papers)Masashi Hayakawa (3 shared papers)G. Belyaev (2 shared papers)Ilyas Abkadyrov (6 shared papers)Andrey Jakovlev (5 shared papers)A. Schekotov (2 shared papers)
In The Last Decade
Danila Chebrov
36 papers receiving 261 citations
Peers
Comparison fields: 5 of 33
- Geophysics 244
- Geology 12
- Artificial Intelligence 54
- Mechanics of Materials 32
- Astronomy and Astrophysics 20
Countries citing papers authored by Danila Chebrov
This map shows the geographic impact of Danila Chebrov'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 Danila Chebrov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danila Chebrov more than expected).
Fields of papers citing papers by Danila Chebrov
This network shows the impact of papers produced by Danila Chebrov. 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 Danila Chebrov. The network helps show where Danila Chebrov may publish in the future.
Co-authors
The 25 scholars most cited alongside Danila Chebrov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 42 | |
| 2 | 2022 | 32 | |
| 3 | 2019 | 29 | |
| 4 | 2019 | 17 | |
| 5 | 2021 | 16 | |
| 6 | 2019 | 14 | |
| 7 | 2020 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2020 | 8 | |
| 11 | 2011 | 8 | |
| 12 | 2019 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2021 | 3 |
About Danila Chebrov
Danila Chebrov is a scholar working on Geophysics, Artificial Intelligence, Environmental Chemistry, Astronomy and Astrophysics and Oceanography, having authored 44 papers that have together received 267 indexed citations. Recurring topics across this work include earthquake and tectonic studies (36 papers), Earthquake Detection and Analysis (21 papers), High-pressure geophysics and materials (20 papers), Geological and Geochemical Analysis (12 papers), Seismic Waves and Analysis (7 papers), Seismology and Earthquake Studies (6 papers), Methane Hydrates and Related Phenomena (5 papers) and Marine and environmental studies (2 papers). The work is most often cited by research in Geophysics (244 citations), Geology (12 citations), Artificial Intelligence (54 citations), Mechanics of Materials (32 citations) and Astronomy and Astrophysics (20 citations). Danila Chebrov has collaborated with scholars based in Russia, France and Germany. Frequent co-authors include S. Ya. Droznina, Alexander Gusev, Н. М. Шапиро, Masashi Hayakawa, G. Belyaev, Ilyas Abkadyrov, Andrey Jakovlev, A. Schekotov, S. Senyukov and E. I. Gordeev. Their work appears in journals such as Journal of Volcanology and Geothermal Research, Natural Hazards, Pure and Applied Geophysics, Science Advances and Bulletin of the Seismological Society of America.
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.