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 12
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- Visual Attention and Saliency Detection 3
- Digital Media Forensic Detection 3
- Co-authors
- J. Amudha (23 shared papers)Amritanshu Ram (2 shared papers)Giandomenico Nollo (2 shared papers)Tripty Singh (4 shared papers)Prakash Duraisamy (3 shared papers)Ravi C. Nayar (1 shared paper)Raghavendra Rao (1 shared paper)Sai Batchu (1 shared paper)
- Journals
- Journal of Intelligent & Fuzzy Systems (2 papers)IEEE Access (1 paper)Advances in intelligent systems and computing (6 papers)Smart innovation, systems and technologies (2 papers)Lecture notes in networks and systems (1 paper)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
C. Jyotsna
39 papers receiving 447 citations
Peers
Comparison fields: 5 of 79
- Human-Computer Interaction 101
- Computer Vision and Pattern Recognition 152
- Experimental and Cognitive Psychology 51
- Artificial Intelligence 129
- Cognitive Neuroscience 61
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 12 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 109 | |
| 2 | 2018 | 57 | |
| 3 | 2020 | 47 | |
| 4 | 2016 | 33 | |
| 5 | 2018 | 30 | |
| 6 | 2018 | 20 | |
| 7 | 2023 | 16 | |
| 8 | 2017 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2020 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2020 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2019 | 5 |
About C. Jyotsna
C. Jyotsna is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Cognitive Neuroscience, having authored 49 papers that have together received 470 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (12 papers), Retinal Imaging and Analysis (6 papers), Vehicle License Plate Recognition (4 papers), Anomaly Detection Techniques and Applications (3 papers), Visual Attention and Saliency Detection (3 papers), EEG and Brain-Computer Interfaces (3 papers), Digital Media Forensic Detection (3 papers) and Emotion and Mood Recognition (3 papers). The work is most often cited by research in Human-Computer Interaction (101 citations), Computer Vision and Pattern Recognition (152 citations), Experimental and Cognitive Psychology (51 citations), Artificial Intelligence (129 citations) and Cognitive Neuroscience (61 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, Ravi C. Nayar, Raghavendra Rao, Sai Batchu, S Sridevi and Peeta Basa Pati. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, IEEE Access, Advances in intelligent systems and computing, Smart innovation, systems and technologies and Lecture notes in networks and systems.
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.