Sambit Bakshi
Impact in
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- Video Surveillance and Tracking Methods
- Face recognition and analysis
- Face and Expression Recognition
- Advanced Neural Network Applications
- Signal Processing top 1%
- Biometric Identification and Security
Papers in
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- Video Surveillance and Tracking Methods 28
- Face recognition and analysis 22
- Face and Expression Recognition 14
- Advanced Steganography and Watermarking Techniques 11
- Human Pose and Action Recognition 10
- Advanced Image and Video Retrieval Techniques 10
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- Biometric Identification and Security 30
- Co-authors
- Pankaj KumarBanshidhar MajhiManmath Narayan SahooKhan MuhammadSanjay Kumar JenaJitendra Kumar RoutSantos Kumar BaliarsinghKim‐Kwang Raymond Choo
- Journals
- Multimedia Tools and Applications (14 papers)IEEE Access (7 papers)Pattern Recognition Letters (6 papers)IEEE Transactions on Consumer Electronics (4 papers)Journal of Ambient Intelligence and Humanized Computing (4 papers)
- Partner nations
- IndiaItalySouth Korea
In The Last Decade
Sambit Bakshi
123 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 927
- Signal Processing 456
- Artificial Intelligence 552
- Information Systems 376
- Neurology 128
Countries citing papers authored by Sambit Bakshi
This map shows the geographic impact of Sambit Bakshi'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 Sambit Bakshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sambit Bakshi more than expected).
Fields of papers citing papers by Sambit Bakshi
This network shows the impact of papers produced by Sambit Bakshi. 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 Sambit Bakshi. The network helps show where Sambit Bakshi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sambit Bakshi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 39 | |
| 10 | 2022 | 19 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 7 | |
| 13 | 2019 | 1 | |
| 14 | 2019 | 51 | |
| 15 | 2019 | 13 | |
| 16 | 2018 | 47 | |
| 17 | 2017 | 28 | |
| 18 | 2017 | 34 | |
| 19 | 2016 | 31 | |
| 20 | 2013 | 11 |
About Sambit Bakshi
Sambit Bakshi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Neurology, Space and Planetary Science and Information Systems, having authored 129 papers that have together received 2.0k indexed citations. Recurring topics across this work include Biometric Identification and Security (30 papers), Video Surveillance and Tracking Methods (28 papers), Face recognition and analysis (22 papers), Face and Expression Recognition (14 papers), Advanced Steganography and Watermarking Techniques (11 papers), Human Pose and Action Recognition (10 papers), Advanced Image and Video Retrieval Techniques (10 papers) and IoT and Edge/Fog Computing (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (927 citations), Signal Processing (456 citations), Artificial Intelligence (552 citations), Information Systems (376 citations) and Neurology (128 citations). Sambit Bakshi has collaborated with scholars based in India, Italy and South Korea. Frequent co-authors include Pankaj Kumar, Banshidhar Majhi, Manmath Narayan Sahoo, Khan Muhammad, Sanjay Kumar Jena, Jitendra Kumar Rout, Santos Kumar Baliarsingh, Kim‐Kwang Raymond Choo, Swati Vipsita and Arun Kumar Sangaiah. Their work appears in journals such as Multimedia Tools and Applications, IEEE Access, Pattern Recognition Letters, IEEE Transactions on Consumer Electronics and Journal of Ambient Intelligence and Humanized Computing.
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.