V. Bykov
Impact in
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- Advanced Combustion Engine Technologies
- Computational Mechanics top 1%
- Combustion and flame dynamics
- Heat transfer and supercritical fluids
Papers in
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- Combustion and flame dynamics 68
- Heat transfer and supercritical fluids 5
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- Advanced Combustion Engine Technologies 56
- Co-authors
- Ulrich Maas (51 shared papers)Vladimir Gol’dshtein (19 shared papers)Vladimir Gubernov (17 shared papers)Igor Goldfarb (9 shared papers)Chunkan Yu (7 shared papers)Leonid Kagan (2 shared papers)Gregory Sivashinsky (2 shared papers)I. S. Yakovenko (2 shared papers)
In The Last Decade
V. Bykov
77 papers receiving 979 citations
Peers
Comparison fields: 5 of 52
- Fluid Flow and Transfer Processes 679
- Computational Mechanics 813
- Safety, Risk, Reliability and Quality 181
- Aerospace Engineering 294
- Numerical Analysis 37
Countries citing papers authored by V. Bykov
This map shows the geographic impact of V. Bykov'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. Bykov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Bykov more than expected).
Fields of papers citing papers by V. Bykov
This network shows the impact of papers produced by V. Bykov. 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. Bykov. The network helps show where V. Bykov may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Bykov, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 153 | |
| 2 | 2008 | 50 | |
| 3 | 2008 | 42 | |
| 4 | 2005 | 37 | |
| 5 | 2020 | 31 | |
| 6 | 2010 | 30 | |
| 7 | 2019 | 28 | |
| 8 | 2018 | 27 | |
| 9 | 2018 | 25 | |
| 10 | 2017 | 23 | |
| 11 | 2006 | 21 | |
| 12 | 2006 | 17 | |
| 13 | 2018 | 17 | |
| 14 | 2022 | 17 | |
| 15 | 2015 | 17 | |
| 16 | 2012 | 16 | |
| 17 | 2017 | 16 | |
| 18 | 2018 | 15 | |
| 19 | 2016 | 15 | |
| 20 | 2004 | 15 |
About V. Bykov
V. Bykov is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Aerospace Engineering, Atmospheric Science and Safety, Risk, Reliability and Quality, having authored 83 papers that have together received 998 indexed citations. Recurring topics across this work include Combustion and flame dynamics (68 papers), Advanced Combustion Engine Technologies (56 papers), Combustion and Detonation Processes (31 papers), Atmospheric chemistry and aerosols (9 papers), Fire dynamics and safety research (7 papers), Heat transfer and supercritical fluids (5 papers), stochastic dynamics and bifurcation (5 papers) and Catalytic Processes in Materials Science (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (679 citations), Computational Mechanics (813 citations), Safety, Risk, Reliability and Quality (181 citations), Aerospace Engineering (294 citations) and Numerical Analysis (37 citations). V. Bykov has collaborated with scholars based in Germany, Israel and Russia. Frequent co-authors include Ulrich Maas, Vladimir Gol’dshtein, Vladimir Gubernov, Igor Goldfarb, Chunkan Yu, Leonid Kagan, Gregory Sivashinsky, I. S. Yakovenko, А. Д. Киверин and J.B. Greenberg. Their work appears in journals such as Proceedings of the Combustion Institute, Combustion and Flame, Combustion Theory and Modelling, Combustion Science and Technology and International Journal of Heat and Fluid Flow.
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.