Ashwin Chinnayya
Impact in
- Computational Mechanics top 2%
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Turbulent Flows
- Combustion and flame dynamics
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- Fire dynamics and safety research
Papers in
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- Combustion and Detonation Processes 34
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- Computational Fluid Dynamics and Aerodynamics 13
- Combustion and flame dynamics 5
- Co-authors
- A. Hadjadj (12 shared papers)Richard Saurel (6 shared papers)A. K. Chaudhuri (3 shared papers)Éric Daniel (2 shared papers)J. Melguizo-Gavilanes (5 shared papers)Fabien Petitpas (1 shared paper)Erwin Franquet (1 shared paper)Olivier Le Métayer (1 shared paper)
In The Last Decade
Ashwin Chinnayya
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 65
- Computational Mechanics 634
- Safety, Risk, Reliability and Quality 265
- Aerospace Engineering 673
- Applied Mathematics 181
- Statistics, Probability and Uncertainty 77
Countries citing papers authored by Ashwin Chinnayya
This map shows the geographic impact of Ashwin Chinnayya'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 Ashwin Chinnayya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Chinnayya more than expected).
Fields of papers citing papers by Ashwin Chinnayya
This network shows the impact of papers produced by Ashwin Chinnayya. 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 Ashwin Chinnayya. The network helps show where Ashwin Chinnayya may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashwin Chinnayya, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 133 | |
| 2 | 2004 | 101 | |
| 3 | 2017 | 70 | |
| 4 | 2009 | 67 | |
| 5 | 2017 | 52 | |
| 6 | 2012 | 48 | |
| 7 | 2005 | 47 | |
| 8 | 2010 | 47 | |
| 9 | 2020 | 38 | |
| 10 | 2013 | 38 | |
| 11 | 2020 | 37 | |
| 12 | 2010 | 34 | |
| 13 | 2012 | 34 | |
| 14 | 2021 | 33 | |
| 15 | 2015 | 29 | |
| 16 | 2018 | 28 | |
| 17 | 2014 | 26 | |
| 18 | 2020 | 22 | |
| 19 | 2016 | 21 | |
| 20 | 2009 | 21 |
About Ashwin Chinnayya
Ashwin Chinnayya is a scholar working on Aerospace Engineering, Computational Mechanics, Mechanics of Materials, Safety, Risk, Reliability and Quality and Applied Mathematics, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Combustion and Detonation Processes (34 papers), Energetic Materials and Combustion (16 papers), Fire dynamics and safety research (16 papers), Computational Fluid Dynamics and Aerodynamics (13 papers), Gas Dynamics and Kinetic Theory (8 papers), Particle Dynamics in Fluid Flows (6 papers), Combustion and flame dynamics (5 papers) and High-Velocity Impact and Material Behavior (4 papers). The work is most often cited by research in Computational Mechanics (634 citations), Safety, Risk, Reliability and Quality (265 citations), Aerospace Engineering (673 citations), Applied Mathematics (181 citations) and Statistics, Probability and Uncertainty (77 citations). Ashwin Chinnayya has collaborated with scholars based in France, Japan and Spain. Frequent co-authors include A. Hadjadj, Richard Saurel, A. K. Chaudhuri, Éric Daniel, J. Melguizo-Gavilanes, Fabien Petitpas, Erwin Franquet, Olivier Le Métayer, J.-F. Haas and Hiroaki Watanabe. Their work appears in journals such as Physics of Fluids, Shock Waves, Combustion and Flame, Journal of Fluid Mechanics and Computers & Fluids.
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.