Harsh Goyal

23 papers receiving 418 citations

Peers

Harsh Goyal
Comparison fields: 5 of 28
  • Fluid Flow and Transfer Processes 380
  • Computational Mechanics 242
  • Automotive Engineering 140
  • Biomedical Engineering 161
  • Aerospace Engineering 82
Replace André Casal Kulzer with:
André Casal Kulzer Germany
Kihyun Kim South Korea
Kazuaki Nishikawa Switzerland
Robert E. Coverdill United States
Khanh Cung United States
Jürgen Willand Germany
Kan Zha United States
Tanet Aroonsrisopon Thailand
Michalis Syrimis United States
Harsh Goyal relative to André Casal Kulzer Germany André Casal Kulzer's profile →
Citations per field
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André Casal Kulzer · 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 202460
3 201946
4 201840
5 201923
6 201623
7 201718
8 201915
9 202215
10 202014
11 202314
12 202311
13 202310
14 20209
15 20219
16 20219
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 427 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), Plasma Applications and Diagnostics (1 paper) and Technical Engine Diagnostics and Monitoring (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (380 citations), Computational Mechanics (242 citations), Automotive Engineering (140 citations), Biomedical Engineering (161 citations) and Aerospace Engineering (82 citations). Harsh Goyal has collaborated with scholars based in Saudi Arabia, Australia and United States. Frequent co-authors include Sanghoon Kook, Yuji Ikeda, Pravesh Chandra Shukla, Douglas E. Longman, Sibendu Som, Avinash Kumar Ágarwal, Gaetano Magnotti, Abdullah S. AlRamadan, Qing Nian Chan and Jihad Badra. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, SAE International Journal of Engines, Fuel, Energy and International Journal of Hydrogen 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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