Vinay Shet
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Face recognition and analysis
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 6
- Video Surveillance and Tracking Methods 5
- Advanced Image and Video Retrieval Techniques 5
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- Semantic Web and Ontologies 3
- Logic, Reasoning, and Knowledge 2
- Co-authors
- L.S. Davis (3 shared papers)Larry S. Davis (4 shared papers)Ahmed Elgammal (3 shared papers)Yaser Yacoob (3 shared papers)Cheng-Hao Kuo (1 shared paper)Visvanathan Ramesh (4 shared papers)Sameh Khamis (1 shared paper)David Harwood (2 shared papers)
- Journals
- International Journal of Computer Vision (1 paper)2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Vinay Shet
15 papers receiving 329 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 293
- Human-Computer Interaction 45
- Artificial Intelligence 111
- Signal Processing 26
- Biomedical Engineering 61
Countries citing papers authored by Vinay Shet
This map shows the geographic impact of Vinay Shet'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 Vinay Shet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinay Shet more than expected).
Fields of papers citing papers by Vinay Shet
This network shows the impact of papers produced by Vinay Shet. 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 Vinay Shet. The network helps show where Vinay Shet may publish in the future.
Co-authors
The 22 scholars most cited alongside Vinay Shet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 73 | |
| 2 | 2007 | 66 | |
| 3 | 2013 | 61 | |
| 4 | 2006 | 54 | |
| 5 | 2015 | 40 | |
| 6 | Multi-Cue Exemplar-Based Nonparametric Model for Gesture Recognition. | 2004 | 11 |
| 7 | 2010 | 11 | |
| 8 | 2004 | 7 | |
| 9 | 2018 | 5 | |
| 10 | 2009 | 5 | |
| 11 | 2006 | 3 | |
| 12 | 2009 | 2 | |
| 13 | 2010 | 2 | |
| 14 | Multivalued Default Logic for Identity Maintenance in Visual Surveillance | 2006 | 1 |
| 15 | 2012 | 1 |
About Vinay Shet
Vinay Shet is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Computer Networks and Communications and Computational Theory and Mathematics, having authored 15 papers that have together received 342 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Video Surveillance and Tracking Methods (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Hand Gesture Recognition Systems (4 papers), Semantic Web and Ontologies (3 papers), Logic, Reasoning, and Knowledge (2 papers), Gait Recognition and Analysis (2 papers) and Rough Sets and Fuzzy Logic (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (293 citations), Human-Computer Interaction (45 citations), Artificial Intelligence (111 citations), Signal Processing (26 citations) and Biomedical Engineering (61 citations). Vinay Shet has collaborated with scholars based in United States and Germany. Frequent co-authors include L.S. Davis, Larry S. Davis, Ahmed Elgammal, Yaser Yacoob, Cheng-Hao Kuo, Visvanathan Ramesh, Sameh Khamis, David Harwood, Jan Neumann and Qian Yu. Their work appears in journals such as International Journal of Computer Vision and 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
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.