Sanketh Shetty
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Advanced Neural Network Applications
- Human-Computer Interaction top 0.5%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 3
- Video Analysis and Summarization 2
- Video Surveillance and Tracking Methods 2
- Face and Expression Recognition 1
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- Morphological variations and asymmetry 2
- Co-authors
- Rahul Sukthankar (3 shared papers)Thomas Leung (2 shared papers)George D. Toderici (2 shared papers)Li Fei-Fei (2 shared papers)Andrej Karpathy (2 shared papers)Chen Sun (1 shared paper)Ram Nevatia (1 shared paper)Narendra Ahuja (2 shared papers)
- Journals
- Antioxidants (1 paper)Phytochemical Analysis (1 paper)Lecture notes in computer science (1 paper)Proceedings - International Conference on Pattern Recognition (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Sanketh Shetty
7 papers receiving 5.7k citations
Sanketh Shetty's Hit Papers
Peers
Comparison fields: 5 of 176
- Computer Vision and Pattern Recognition 4.6k
- Human-Computer Interaction 523
- Artificial Intelligence 2.6k
- Signal Processing 332
- Biomedical Engineering 880
Countries citing papers authored by Sanketh Shetty
This map shows the geographic impact of Sanketh Shetty'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 Sanketh Shetty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanketh Shetty more than expected).
Fields of papers citing papers by Sanketh Shetty
This network shows the impact of papers produced by Sanketh Shetty. 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 Sanketh Shetty. The network helps show where Sanketh Shetty may publish in the future.
Co-authors
The 16 scholars most cited alongside Sanketh Shetty, 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 | Large-Scale Video Classification with Convolutional Neural Networks Hit paper breakdown → | 2014 | 5022 |
| 2 | Large-scale Video Classification with Convolutional Neural Networks Hit paper breakdown → | 2014 | 720 |
| 3 | 2015 | 104 | |
| 4 | 2021 | 23 | |
| 5 | 2025 | 5 | |
| 6 | 2010 | 4 | |
| 7 | 2008 | 3 |
About Sanketh Shetty
Sanketh Shetty is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology, Artificial Intelligence, Biochemistry and Dermatology, having authored 7 papers that have together received 5.9k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Video Analysis and Summarization (2 papers), Morphological variations and asymmetry (2 papers), Video Surveillance and Tracking Methods (2 papers), Advanced Clustering Algorithms Research (2 papers), Face and Expression Recognition (1 paper), Bioactive natural compounds (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (4.6k citations), Human-Computer Interaction (523 citations), Artificial Intelligence (2.6k citations), Signal Processing (332 citations) and Biomedical Engineering (880 citations). Sanketh Shetty has collaborated with scholars based in United States and France. Frequent co-authors include Rahul Sukthankar, Thomas Leung, George D. Toderici, Li Fei-Fei, Andrej Karpathy, Chen Sun, Ram Nevatia, Narendra Ahuja, Laurent Marrot and Zhengang Peng. Their work appears in journals such as Antioxidants, Phytochemical Analysis, Lecture notes in computer science, Proceedings - International Conference on Pattern Recognition and arXiv (Cornell University).
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.