Kevin Desai

478 total citations
30 papers, 291 citations indexed

About

Kevin Desai is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Rehabilitation. According to data from OpenAlex, Kevin Desai has authored 30 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 8 papers in Human-Computer Interaction and 4 papers in Rehabilitation. Recurrent topics in Kevin Desai's work include Human Pose and Action Recognition (7 papers), Virtual Reality Applications and Impacts (7 papers) and Stroke Rehabilitation and Recovery (4 papers). Kevin Desai is often cited by papers focused on Human Pose and Action Recognition (7 papers), Virtual Reality Applications and Impacts (7 papers) and Stroke Rehabilitation and Recovery (4 papers). Kevin Desai collaborates with scholars based in United States, Mexico and Singapore. Kevin Desai's 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 and has published in prestigious journals such as Sensors, IEEE Transactions on Visualization and Computer Graphics and Journal of the American Society of Echocardiography.

In The Last Decade

Kevin Desai

26 papers receiving 285 citations

Peers

Kevin Desai
Min‐Hyung Choi United States
Ifeoma Nwogu United States
Nadia Zenati Algeria
Neha Gaud India
Lingling Tao United States
R. Yousefi United States
Heeseok Oh South Korea
Kevin Desai
Citations per year, relative to Kevin Desai Kevin Desai (= 1×) peers Chandra Prakash

Countries citing papers authored by Kevin Desai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Höllerer, Tobias, et al.. (2025). Predicting and Explaining Cognitive Load, Attention, and Working Memory in Virtual Multitasking. IEEE Transactions on Visualization and Computer Graphics. 31(5). 3014–3024.
3.
Kang, Peng, et al.. (2024). A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge. 592–599. 2 indexed citations
5.
Desai, Kevin, et al.. (2024). A Survey on 3D Egocentric Human Pose Estimation. 1643–1654. 1 indexed citations
7.
Krishna, Hema, Kevin Desai, Wouter Ouwerkerk, et al.. (2023). Fully Automated Artificial Intelligence Assessment of Aortic Stenosis by Echocardiography. Journal of the American Society of Echocardiography. 36(7). 769–777. 35 indexed citations
8.
Young, Paul R., et al.. (2023). Can Hierarchical Transformers Learn Facial Geometry?. Sensors. 23(2). 929–929. 1 indexed citations
9.
Quarles, John, et al.. (2022). TMVNet : Using Transformers for Multi-view Voxel-based 3D Reconstruction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 221–229. 14 indexed citations
10.
Desai, Kevin, Balakrishnan Prabhakaran, Nneka L. Ifejika, & Thiru M. Annaswamy. (2021). Personalized 3D exergames for in-home rehabilitation after stroke: a pilot study. Disability and Rehabilitation Assistive Technology. 18(5). 704–713. 7 indexed citations
11.
Desai, Kevin, et al.. (2021). Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 3006–3012. 3 indexed citations
12.
Hernández-Guzmán, Victor Manuel, et al.. (2021). Multimodal Data Streaming using Visual IoTs and Wearables for Telerehabilitation and Teletreatment. 233–238. 1 indexed citations
13.
Annaswamy, Thiru M., et al.. (2019). Using Mr. MAPP for Lower Limb Phantom Pain Management. 375. 1071–1075. 5 indexed citations
14.
Desai, Kevin, et al.. (2018). Combining skeletal poses for 3D human model generation using multiple kinects. 40–51. 5 indexed citations
15.
Desai, Kevin, et al.. (2017). Learning-based objective evaluation of 3D human open meshes. 733–738. 1 indexed citations
16.
Desai, Kevin, et al.. (2017). Experiences with Multi-modal Collaborative Virtual Laboratory (MMCVL). 376–383. 16 indexed citations
17.
Desai, Kevin, et al.. (2017). QoE Studies on Interactive 3D Tele-Immersion. 130–137. 11 indexed citations
18.
Desai, Kevin, et al.. (2016). Augmented reality-based exergames for rehabilitation. 1–10. 36 indexed citations
19.
Desai, Kevin, et al.. (2015). Network Adaptive Textured Mesh Generation for Collaborative 3D Tele-Immersion. 107–112. 5 indexed citations
20.
Desai, Kevin, et al.. (2010). Botulinum Toxin Type A for the Treatment of Postamputation Residual Limb Myokymia: A Case Report. PM&R. 2(8). 777–779. 7 indexed citations

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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