Arpan Gupta

43 papers receiving 587 citations

Peers

Arpan Gupta
Comparison fields: 5 of 64
  • Fluid Flow and Transfer Processes 225
  • Speech and Hearing 81
  • Automotive Engineering 144
  • Biomedical Engineering 379
  • Energy Engineering and Power Technology 20
Replace Ki Yong Lee with:
Ki Yong Lee South Korea
Antonio Rodríguez Ferran Spain
Han Wu United States
Cahit A. Evrensel United States
Wolfgang Sanz Austria
Sylvester Abanteriba Australia
Hasan Shahzad China
Luc Jaouen France
Andrea Cavicchi Italy
Arpan Gupta relative to Ki Yong Lee South Korea Ki Yong Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Arpan Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Arpan Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Arpan Gupta, 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 Arpan Gupta Line = papers co-authored together Arpan Gupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019112
2 201892
3 202145
4 200338
5 201438
6 201929
7 202128
8 202325
9 201823
10 201917
11 201114
12 201714
13 201210
14 20209
15 20159
16 20187
17 20197
18 20146
19 20176
20 20186

About Arpan Gupta

Arpan Gupta is a scholar working on Biomedical Engineering, Speech and Hearing, Civil and Structural Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 599 indexed citations. Recurring topics across this work include Acoustic Wave Phenomena Research (24 papers), Noise Effects and Management (11 papers), Hearing Loss and Rehabilitation (5 papers), Microfluidic and Bio-sensing Technologies (5 papers), Aerodynamics and Acoustics in Jet Flows (4 papers), Music Technology and Sound Studies (4 papers), Magnetic and Electromagnetic Effects (4 papers) and Vehicle emissions and performance (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (225 citations), Speech and Hearing (81 citations), Automotive Engineering (144 citations), Biomedical Engineering (379 citations) and Energy Engineering and Power Technology (20 citations). Arpan Gupta has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Sarthak Nag, Atul Dhar, Priybrat Sharma, Kian Meng Lim, Antonio Galvao Neto, Doina Ivan, Luciano B. Lemos, C. H. Chew, Rajesh Ghosh and Rishabh Sharma. Their work appears in journals such as The Journal of the Acoustical Society of America, Building Acoustics, Fuel, Scientific Reports and Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine.

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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