Kevin Desai
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Cognitive Neuroscience
- Artificial Intelligence
- Cardiology and Cardiovascular Medicine
- Co-authors
- John QuarlesBalakrishnan PrabhakaranThiru M. AnnaswamyUna E. MakrisRong JinMatthew FrostUriel H. Hernandez-BelmonteJustin A. Ezekowitz
- Topics
- Human Pose and Action Recognition (7 papers)Virtual Reality Applications and Impacts (7 papers)Stroke Rehabilitation and Recovery (4 papers)
- Journals
- SensorsIEEE Transactions on Visualization and Computer GraphicsJournal of the American Society of Echocardiography
- Partner nations
- United StatesMexicoSingapore
In The Last Decade
Kevin Desai
26 papers receiving 285 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 121
- Human-Computer Interaction 115
- Cognitive Neuroscience 35
- Artificial Intelligence 34
- Cardiology and Cardiovascular Medicine 27
Countries citing papers authored by Kevin Desai
This map shows the geographic impact of Kevin Desai'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 Kevin Desai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Desai more than expected).
Fields of papers citing papers by Kevin Desai
This network shows the impact of papers produced by Kevin Desai. 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 Kevin Desai. The network helps show where Kevin Desai may publish in the future.
Co-authorship network of co-authors of Kevin Desai
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Desai. A scholar is included among the top collaborators of Kevin Desai 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 Kevin Desai. Kevin Desai 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 35 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 16 | |
| 17 | 11 | |
| 18 | 36 | |
| 19 | 5 | |
| 20 | 7 |
About Kevin Desai
Kevin Desai is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Applied Psychology, having authored 30 papers that have together received 291 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Virtual Reality Applications and Impacts (7 papers) and Stroke Rehabilitation and Recovery (4 papers). The work is most often cited by research in Human-Computer Interaction (115 citations), Health Informatics (14 citations) and Computer Vision and Pattern Recognition (121 citations). Kevin Desai has collaborated with scholars based in United States, Mexico and Singapore. Frequent co-authors include John Quarles, Balakrishnan Prabhakaran, Thiru M. Annaswamy, Una E. Makris, Rong Jin, Matthew Frost, Uriel H. Hernandez-Belmonte, Justin A. Ezekowitz, Patricia A. Pellikka and Víctor Ayala-Ramírez. Their work appears in journals such as Sensors, IEEE Transactions on Visualization and Computer Graphics and Journal of the American Society of Echocardiography.
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.