Kunal Gupta
- Human-Computer Interaction top 2%
- Social Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Experimental and Cognitive Psychology
- Co-authors
- Mark BillinghurstGun LeeYun Suen PaiAndreas DuenserPrasanth SasikumarAlexander SumichSuranga NanayakkaraYuewei Zhang
- Topics
- Virtual Reality Applications and Impacts (14 papers)Emotion and Mood Recognition (10 papers)Color perception and design (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Visualization and Computer GraphicsIEEE Transactions on Affective Computing
- Partner nations
- New ZealandAustraliaJapan
In The Last Decade
Kunal Gupta
23 papers receiving 357 citations
Peers
Comparison fields: 5 of 57
- Human-Computer Interaction 214
- Social Psychology 126
- Computer Vision and Pattern Recognition 120
- Cognitive Neuroscience 103
- Experimental and Cognitive Psychology 64
Countries citing papers authored by Kunal Gupta
This map shows the geographic impact of Kunal 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 Kunal Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunal Gupta more than expected).
Fields of papers citing papers by Kunal Gupta
This network shows the impact of papers produced by Kunal 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 Kunal Gupta. The network helps show where Kunal Gupta may publish in the future.
Co-authorship network of co-authors of Kunal Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Kunal Gupta. A scholar is included among the top collaborators of Kunal Gupta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kunal Gupta. Kunal Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 14 | |
| 10 | 11 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 54 | |
| 16 | 11 | |
| 17 | 20 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | 1 |
About Kunal Gupta
Kunal Gupta is a scholar working on Human-Computer Interaction, Experimental and Cognitive Psychology and Social Psychology, having authored 30 papers that have together received 362 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (14 papers), Emotion and Mood Recognition (10 papers) and Color perception and design (5 papers). The work is most often cited by research in Human-Computer Interaction (214 citations), Social Psychology (126 citations) and Computer Vision and Pattern Recognition (120 citations). Kunal Gupta has collaborated with scholars based in New Zealand, Australia and Japan. Frequent co-authors include Mark Billinghurst, Gun Lee, Yun Suen Pai, Andreas Duenser, Prasanth Sasikumar, Alexander Sumich, Suranga Nanayakkara, Yuewei Zhang, Li Zhang and S. M. Muzakkir. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Visualization and Computer Graphics and IEEE Transactions on Affective Computing.
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.