Debaditya Roy
Impact in
-
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Context-Aware Activity Recognition Systems
- Face and Expression Recognition
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
Papers in
-
- Human Pose and Action Recognition 14
-
- Anomaly Detection Techniques and Applications 12
- Co-authors
- C. Krishna Mohan (20 shared papers)K. Sri Rama Murty (4 shared papers)Nazil Perveen (2 shared papers)Chalavadi Vishnu (4 shared papers)Basura Fernando (6 shared papers)Atsushi Fukuda (2 shared papers)M. B. Srinivas (4 shared papers)Rajeshreddy Datla (1 shared paper)
In The Last Decade
Debaditya Roy
27 papers receiving 725 citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 310
- Artificial Intelligence 285
- Signal Processing 88
- Business and International Management 12
- Automotive Engineering 69
Countries citing papers authored by Debaditya Roy
This map shows the geographic impact of Debaditya Roy'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 Debaditya Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debaditya Roy more than expected).
Fields of papers citing papers by Debaditya Roy
This network shows the impact of papers produced by Debaditya Roy. 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 Debaditya Roy. The network helps show where Debaditya Roy may publish in the future.
Co-authors
The 17 scholars most cited alongside Debaditya Roy, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 85 | |
| 2 | 2021 | 69 | |
| 3 | 2020 | 61 | |
| 4 | 2019 | 54 | |
| 5 | 2020 | 53 | |
| 6 | 2018 | 52 | |
| 7 | 2015 | 48 | |
| 8 | 2018 | 46 | |
| 9 | 2018 | 44 | |
| 10 | 2016 | 35 | |
| 11 | 2018 | 32 | |
| 12 | 2016 | 30 | |
| 13 | 2014 | 28 | |
| 14 | 2021 | 25 | |
| 15 | AUDIO SIGNAL CLASSIFICATION | 2004 | 25 |
| 16 | 2024 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2016 | 13 | |
| 20 | 2024 | 12 |
About Debaditya Roy
Debaditya Roy is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Biomedical Engineering and Automotive Engineering, having authored 28 papers that have together received 780 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (14 papers), Anomaly Detection Techniques and Applications (12 papers), Gait Recognition and Analysis (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Traffic Prediction and Management Techniques (3 papers), Music and Audio Processing (3 papers), Traffic and Road Safety (3 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (310 citations), Artificial Intelligence (285 citations), Signal Processing (88 citations), Business and International Management (12 citations) and Automotive Engineering (69 citations). Debaditya Roy has collaborated with scholars based in India, Singapore and Japan. Frequent co-authors include C. Krishna Mohan, K. Sri Rama Murty, Nazil Perveen, Chalavadi Vishnu, Basura Fernando, Atsushi Fukuda, M. B. Srinivas, Rajeshreddy Datla, Sobhan Babu and Dinesh Singh. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Robotics and Automation Letters, Pattern Recognition, IEEE Transactions on Medical Imaging and Pattern Recognition Letters.
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.