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
- COVID-19 diagnosis using AI 2
- Co-authors
- J. Amudha (15 shared papers)Amritanshu Ram (3 shared papers)Giandomenico Nollo (3 shared papers)Tripty Singh (4 shared papers)Prakash Duraisamy (3 shared papers)Sai Batchu (1 shared paper)Ravi C. Nayar (1 shared paper)Raghavendra Rao (1 shared paper)
- Journals
- Journal of Intelligent & Fuzzy Systems (2 papers)Sensors (1 paper)IEEE Access (1 paper)Control theory & applications (1 paper)Procedia Computer Science (2 papers)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
C. Jyotsna
29 papers receiving 278 citations
Peers
Comparison fields: 5 of 67
- Human-Computer Interaction 64
- Computer Vision and Pattern Recognition 97
- Experimental and Cognitive Psychology 37
- Artificial Intelligence 88
- Cognitive Neuroscience 43
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 88 | |
| 2 | 2018 | 41 | |
| 3 | 2018 | 23 | |
| 4 | 2016 | 22 | |
| 5 | 2023 | 11 | |
| 6 | 2019 | 10 | |
| 7 | 2021 | 9 | |
| 8 | 2023 | 8 | |
| 9 | 2020 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2017 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 4 | |
| 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 38 papers that have together received 297 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), EEG and Brain-Computer Interfaces (4 papers), Emotion and Mood Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers), COVID-19 diagnosis using AI (2 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Human-Computer Interaction (64 citations), Computer Vision and Pattern Recognition (97 citations), Experimental and Cognitive Psychology (37 citations), Artificial Intelligence (88 citations) and Cognitive Neuroscience (43 citations). C. Jyotsna has collaborated with scholars based in India, United States and Italy. Frequent co-authors include J. Amudha, Amritanshu Ram, Giandomenico Nollo, Tripty Singh, Prakash Duraisamy, Sai Batchu, Ravi C. Nayar, Raghavendra Rao, P. Supraja and P. Bagavathi Sivakumar. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Sensors, 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.