Igor Chernykh
Impact in
- Computational Mechanics top 10%
- Computational Fluid Dynamics and Aerodynamics
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- Aquatic and Environmental Studies
Papers in
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- Gamma-ray bursts and supernovae 10
- Astro and Planetary Science 6
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- Computational Fluid Dynamics and Aerodynamics 20
- Co-authors
- Igor Kulikov (51 shared papers)А. В. Тутуков (6 shared papers)В. Н. Снытников (3 shared papers)Timofey V. Perevalov (1 shared paper)В. А. Вшивков (4 shared papers)Damir R. Islamov (1 shared paper)Vardan G. Elbakyan (5 shared papers)Vladimir Mironov (2 shared papers)
In The Last Decade
Igor Chernykh
60 papers receiving 304 citations
Peers
Comparison fields: 5 of 61
- Computational Mechanics 108
- Earth-Surface Processes 34
- Hardware and Architecture 35
- Astronomy and Astrophysics 79
- Nuclear and High Energy Physics 61
Countries citing papers authored by Igor Chernykh
This map shows the geographic impact of Igor Chernykh'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 Igor Chernykh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Chernykh more than expected).
Fields of papers citing papers by Igor Chernykh
This network shows the impact of papers produced by Igor Chernykh. 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 Igor Chernykh. The network helps show where Igor Chernykh may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Chernykh, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 35 | |
| 2 | 2019 | 26 | |
| 3 | 2018 | 25 | |
| 4 | 2018 | 21 | |
| 5 | 2016 | 13 | |
| 6 | 2009 | 12 | |
| 7 | 2014 | 10 | |
| 8 | 2009 | 9 | |
| 9 | 2016 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2015 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2015 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2015 | 6 | |
| 18 | 2013 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2017 | 5 |
About Igor Chernykh
Igor Chernykh is a scholar working on Astronomy and Astrophysics, Computational Mechanics, Nuclear and High Energy Physics, Computer Networks and Communications and Earth-Surface Processes, having authored 70 papers that have together received 311 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (20 papers), Aquatic and Environmental Studies (11 papers), Gamma-ray bursts and supernovae (10 papers), Magnetic confinement fusion research (9 papers), Laser-Plasma Interactions and Diagnostics (8 papers), Parallel Computing and Optimization Techniques (8 papers), Distributed and Parallel Computing Systems (8 papers) and Astro and Planetary Science (6 papers). The work is most often cited by research in Computational Mechanics (108 citations), Earth-Surface Processes (34 citations), Hardware and Architecture (35 citations), Astronomy and Astrophysics (79 citations) and Nuclear and High Energy Physics (61 citations). Igor Chernykh has collaborated with scholars based in Russia, Austria and Mexico. Frequent co-authors include Igor Kulikov, А. В. Тутуков, В. Н. Снытников, Timofey V. Perevalov, В. А. Вшивков, Damir R. Islamov, Vardan G. Elbakyan, Vladimir Mironov, Evgeny Epifanovsky and Eduard I. Vorobyov. Their work appears in journals such as Journal of Plasma Physics, Journal of Computational and Applied Mathematics, The Astrophysical Journal Supplement Series, Chemical Engineering Journal and Journal of Experimental and Theoretical Physics 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.