Harsh Goyal

22 papers receiving 382 citations

Peers

Harsh Goyal
Comparison fields: 5 of 27
  • Fluid Flow and Transfer Processes 349
  • Automotive Engineering 135
  • Computational Mechanics 232
  • Biomedical Engineering 156
  • Aerospace Engineering 78
Replace Ola Stenlåås with:
Ola Stenlåås Sweden
Khanh Cung United States
Kihyun Kim South Korea
Kazuaki Nishikawa Switzerland
Osman Akın Kutlar Türkiye
Robert E. Coverdill United States
Kan Zha United States
Jürgen Willand Germany
Michalis Syrimis United States
Tanet Aroonsrisopon Thailand
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Citations per field
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Ola Stenlåås · 1×
Citations per year

Countries citing papers authored by Harsh Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Harsh Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 201945
3 201839
4 202436
5 201623
6 201923
7 201718
8 201915
9 202013
10 202313
11 202212
12 202310
13 20239
14 20209
15 20219
16 20218
17 20228
18 20218
19 20216
20 20214

About Harsh Goyal

Harsh Goyal is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Biomedical Engineering, Automotive Engineering and Aerospace Engineering, having authored 24 papers that have together received 389 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (21 papers), Combustion and flame dynamics (12 papers), Biodiesel Production and Applications (10 papers), Vehicle emissions and performance (7 papers), Catalytic Processes in Materials Science (3 papers), Rocket and propulsion systems research (2 papers), Concrete Corrosion and Durability (1 paper) and Aerodynamics and Fluid Dynamics Research (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (349 citations), Automotive Engineering (135 citations), Computational Mechanics (232 citations), Biomedical Engineering (156 citations) and Aerospace Engineering (78 citations). Harsh Goyal has collaborated with scholars based in Saudi Arabia, Australia and United States. Frequent co-authors include Sanghoon Kook, Yuji Ikeda, Douglas E. Longman, Pravesh Chandra Shukla, Avinash Kumar Ágarwal, Sibendu Som, Gaetano Magnotti, Abdullah S. AlRamadan, Evatt R. Hawkes and Jihad Badra. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Fuel, SAE International Journal of Engines, Energy and Applied Energy.

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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