Suvendu Rup
Impact in
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- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
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- Brain Tumor Detection and Classification
Papers in
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- Video Surveillance and Tracking Methods 9
- Chaos-based Image/Signal Encryption 6
- Advanced Image and Video Retrieval Techniques 6
- Video Analysis and Summarization 5
- Human Pose and Action Recognition 4
- Image Enhancement Techniques 3
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- AI in cancer detection 6
- Co-authors
- M.N.S. Swamy (13 shared papers)Banshidhar Majhi (14 shared papers)Niranjan Kumar Ray (1 shared paper)Ratnakar Dash (1 shared paper)Sudhakar Pandey (1 shared paper)A. N. Mishra (1 shared paper)Vinod Kumar (1 shared paper)Debasish Jena (2 shared papers)
In The Last Decade
Suvendu Rup
29 papers receiving 297 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 166
- Neurology 45
- Artificial Intelligence 180
- Radiology, Nuclear Medicine and Imaging 83
- Health Information Management 15
Countries citing papers authored by Suvendu Rup
This map shows the geographic impact of Suvendu Rup'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 Suvendu Rup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suvendu Rup more than expected).
Fields of papers citing papers by Suvendu Rup
This network shows the impact of papers produced by Suvendu Rup. 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 Suvendu Rup. The network helps show where Suvendu Rup may publish in the future.
Co-authors
The 10 scholars most cited alongside Suvendu Rup, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 56 | |
| 2 | 2018 | 49 | |
| 3 | 2020 | 35 | |
| 4 | 2019 | 32 | |
| 5 | 2018 | 25 | |
| 6 | 2019 | 24 | |
| 7 | 2020 | 21 | |
| 8 | 2021 | 12 | |
| 9 | 2019 | 9 | |
| 10 | 2017 | 8 | |
| 11 | 2013 | 7 | |
| 12 | 2019 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2009 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2015 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2016 | 2 |
About Suvendu Rup
Suvendu Rup is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing and Media Technology, having authored 33 papers that have together received 320 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Wireless Communication Security Techniques (7 papers), Chaos-based Image/Signal Encryption (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), AI in cancer detection (6 papers), Video Analysis and Summarization (5 papers), Human Pose and Action Recognition (4 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (166 citations), Neurology (45 citations), Artificial Intelligence (180 citations), Radiology, Nuclear Medicine and Imaging (83 citations) and Health Information Management (15 citations). Suvendu Rup has collaborated with scholars based in India and Canada. Frequent co-authors include M.N.S. Swamy, Banshidhar Majhi, Niranjan Kumar Ray, Ratnakar Dash, Sudhakar Pandey, A. N. Mishra, Vinod Kumar, Debasish Jena, Sanjay Saxena and D. K. Sahu. Their work appears in journals such as Multimedia Tools and Applications, Digital Signal Processing, Optik, Applied Intelligence and Neural Computing and Applications.
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.