Ashwin Salvi

427 citations
32 papers · 348 · h-index 12

Impact in

Papers in

Ashwin Salvi

32 papers receiving 334 citations

Peers

Ashwin Salvi
Comparison fields: 5 of 38
  • Fluid Flow and Transfer Processes 151
  • Automotive Engineering 176
  • Control and Systems Engineering 93
  • Computational Mechanics 77
  • Mechanical Engineering 91
Replace Gabriele Serra with:
Gabriele Serra Italy
Seibum Choi South Korea
Minghui Kao United States
Daniel Alberer Austria
Peter Langthaler Austria
Thomas Vesterholm Denmark
Merten Jung United Kingdom
Robert Prucka United States
Enzhe Song China
Ahmed Abdul Moiz United States
Ashwin Salvi relative to Gabriele Serra Italy Gabriele Serra's profile →
Citations per field
00.5×6.6×
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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201040
2 201430
3 201228
4 201224
5 201124
6 201422
7 201119
8 201419
9 201217
10 201814
11 202212
12 201411
13 201910
14 20099
15 20229
16 20217
17 20216
18 20226
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 32 papers that have together received 348 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (20 papers), Combustion and flame dynamics (7 papers), Biodiesel Production and Applications (6 papers), Electric and Hybrid Vehicle Technologies (6 papers), Real-time simulation and control systems (6 papers), Vehicle emissions and performance (5 papers), Catalytic Processes in Materials Science (5 papers) and Heat transfer and supercritical fluids (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (151 citations), Automotive Engineering (176 citations), Control and Systems Engineering (93 citations), Computational Mechanics (77 citations) and Mechanical Engineering (91 citations). Ashwin Salvi has collaborated with scholars based in United States and France. Frequent co-authors include Zoran Filipi, Tulga Ersal, Anna G. Stefanopoulou, Dennis N. Assanis, Mark Brudnak, Jeffrey L. Stein, Jason B. Siegel, Youngki Kim, Fabien Redon and Hosam K. Fathy. 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, Energy & Fuels 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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