Ashwin Chinnayya

1.5k citations
47 papers · 1.1k indexed · h-index 21

Impact in

Papers in

Ashwin Chinnayya

45 papers receiving 1.0k citations

Peers

Ashwin Chinnayya
Comparison fields: 5 of 65
  • Computational Mechanics 624
  • Safety, Risk, Reliability and Quality 264
  • Aerospace Engineering 661
  • Applied Mathematics 177
  • Mechanics of Materials 268
Replace Craig T. Johansen with:
Craig T. Johansen Canada
V.V. Tyurenkova Russia
Ryan W. Houim United States
J. P. Sislian Canada
M. Sichel United States
Hans Grönig Germany
Miltiadis Papalexandris Belgium
Yancheng You China
B. E. Gel’fand Russia
Jianhan Liang China
Ashwin Chinnayya relative to Craig T. Johansen Canada Craig T. Johansen's profile →
Citations per field
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Craig T. Johansen · 1×
Citations per year

Countries citing papers authored by Ashwin Chinnayya

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Ashwin Chinnayya Line = papers co-authored together Ashwin Chinnayya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20253
4 20243
5 20245
6 20242
7 20241
8 20244
9 20233
10 20221
11 202020
12 202037
13 201828
14 201715
15 201751
16 201518
17 200921
18 200967
19 20075
20 200310

About Ashwin Chinnayya

Ashwin Chinnayya is a scholar working on Safety, Risk, Reliability and Quality, Aerospace Engineering, Computational Mechanics, Applied Mathematics and Mechanics of Materials, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Combustion and Detonation Processes (33 papers), Fire dynamics and safety research (16 papers), Energetic Materials and Combustion (15 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 Fluid Dynamics and Turbulent Flows (3 papers). The work is most often cited by research in Computational Mechanics (624 citations), Safety, Risk, Reliability and Quality (264 citations), Aerospace Engineering (661 citations), Applied Mathematics (177 citations) and Mechanics of Materials (268 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, Erwin Franquet, Fabien Petitpas, 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.

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