C. Jyotsna
Impact in
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
Papers in
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- Gaze Tracking and Assistive Technology 10
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- Retinal Imaging and Analysis 6
- Co-authors
- J. Amudha (15 shared papers)Giandomenico Nollo (2 shared papers)Amritanshu Ram (2 shared papers)Tripty Singh (4 shared papers)Prakash Duraisamy (3 shared papers)Ravi C. Nayar (1 shared paper)Sai Batchu (1 shared paper)Raghavendra Rao (1 shared paper)
- Journals
- Journal of Intelligent & Fuzzy Systems (2 papers)IEEE Access (1 paper)Control theory & applications (1 paper)Procedia Computer Science (2 papers)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
C. Jyotsna
31 papers receiving 303 citations
Peers
Comparison fields: 5 of 67
- Human-Computer Interaction 66
- Computer Vision and Pattern Recognition 98
- Experimental and Cognitive Psychology 37
- Artificial Intelligence 90
- Cognitive Neuroscience 42
Countries citing papers authored by C. Jyotsna
This map shows the geographic impact of C. Jyotsna'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 C. Jyotsna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Jyotsna more than expected).
Fields of papers citing papers by C. Jyotsna
This network shows the impact of papers produced by C. Jyotsna. 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 C. Jyotsna. The network helps show where C. Jyotsna may publish in the future.
Co-authors
The 11 scholars most cited alongside C. Jyotsna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 92 | |
| 2 | 2018 | 43 | |
| 3 | 2018 | 24 | |
| 4 | 2016 | 23 | |
| 5 | 2023 | 16 | |
| 6 | 2019 | 10 | |
| 7 | 2021 | 9 | |
| 8 | 2023 | 9 | |
| 9 | 2020 | 8 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2017 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2019 | 4 |
About C. Jyotsna
C. Jyotsna is a scholar working on Human-Computer Interaction, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 40 papers that have together received 322 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (10 papers), Retinal Imaging and Analysis (6 papers), Vehicle License Plate Recognition (4 papers), Anomaly Detection Techniques and Applications (3 papers), EEG and Brain-Computer Interfaces (3 papers), Emotion and Mood Recognition (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Human-Computer Interaction (66 citations), Computer Vision and Pattern Recognition (98 citations), Experimental and Cognitive Psychology (37 citations), Artificial Intelligence (90 citations) and Cognitive Neuroscience (42 citations). C. Jyotsna has collaborated with scholars based in India, United States and Italy. Frequent co-authors include J. Amudha, Giandomenico Nollo, Amritanshu Ram, Tripty Singh, Prakash Duraisamy, Ravi C. Nayar, Sai Batchu, Raghavendra Rao, Peeta Basa Pati and P. Bagavathi Sivakumar. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, IEEE Access, Control theory & applications and Procedia Computer Science.
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.