Ashwin Salvi

423 citations
30 papers · 330 · h-index 12

Impact in

Papers in

Ashwin Salvi

30 papers receiving 317 citations

Peers

Ashwin Salvi
Comparison fields: 5 of 39
  • Fluid Flow and Transfer Processes 143
  • Automotive Engineering 164
  • Control and Systems Engineering 90
  • Computational Mechanics 73
  • Mechanical Engineering 89
Replace Gabriele Serra with:
Gabriele Serra Italy
Seibum Choi South Korea
Minghui Kao United States
Peter Langthaler Austria
Matthias Schultalbers Germany
Thomas Vesterholm Denmark
Merten Jung United Kingdom
Enzhe Song China
Robert Prucka United States
S. Srihari India
Ashwin Salvi relative to Gabriele Serra Italy Gabriele Serra's profile →
Citations per field
00.5×6.3×
Gabriele Serra · 1×
Citations per year

Countries citing papers authored by Ashwin Salvi

Since Specialization
Citations

This map shows the geographic impact of Ashwin Salvi'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 Salvi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Salvi more than expected).

Fields of papers citing papers by Ashwin Salvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashwin Salvi. 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 Salvi. The network helps show where Ashwin Salvi may publish in the future.

Co-authors

The 25 scholars most cited alongside Ashwin Salvi, 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 Salvi Line = papers co-authored together Ashwin Salvi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201039
2 201429
3 201228
4 201124
5 201222
6 201421
7 201419
8 201217
9 201115
10 201813
11 201411
12 202211
13 20199
14 20099
15 20229
16 20216
17 20226
18 20216
19 20136
20 20185

About Ashwin Salvi

Ashwin Salvi is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Computational Mechanics, Mechanical Engineering and Control and Systems Engineering, having authored 30 papers that have together received 330 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (19 papers), Combustion and flame dynamics (7 papers), Real-time simulation and control systems (6 papers), Electric and Hybrid Vehicle Technologies (6 papers), Biodiesel Production and Applications (5 papers), Catalytic Processes in Materials Science (5 papers), Vehicle emissions and performance (4 papers) and Heat transfer and supercritical fluids (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (143 citations), Automotive Engineering (164 citations), Control and Systems Engineering (90 citations), Computational Mechanics (73 citations) and Mechanical Engineering (89 citations). Ashwin Salvi has collaborated with scholars based in United States and France. Frequent co-authors include Zoran Filipi, Tulga Ersal, Dennis N. Assanis, Mark Brudnak, Jeffrey L. Stein, Anna G. Stefanopoulou, Youngki Kim, Jason B. Siegel, Hosam K. Fathy and Fabien Redon. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Energy Resources Technology, Journal of Engineering for Gas Turbines and Power, IEEE Transactions on Vehicular Technology and Journal of Dynamic Systems Measurement and Control.

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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