Debayan Deb
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Advanced Image Processing Techniques
- Face and Expression Recognition
Papers in ⓘ
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- Biometric Identification and Security 2
- Advanced Malware Detection Techniques 1
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- Face recognition and analysis 4
- Generative Adversarial Networks and Image Synthesis 3
- Face and Expression Recognition 1
- Human Pose and Action Recognition 1
- Co-authors
- Anil K. Jain (5 shared papers)Yichun Shi (1 shared paper)Lacey Best-Rowden (1 shared paper)Haochen Liu (1 shared paper)Yao Ma (1 shared paper)Jiliang Tang (1 shared paper)Han Xu (1 shared paper)Hui Liu (1 shared paper)
- Journals
- International Journal of Automation and Computing (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Debayan Deb
6 papers receiving 99 citations
Peers
Comparison fields: 5 of 29
- Computer Vision and Pattern Recognition 78
- Computer Graphics and Computer-Aided Design 8
- Signal Processing 20
- Computational Mechanics 13
- Artificial Intelligence 17
Countries citing papers authored by Debayan Deb
This map shows the geographic impact of Debayan Deb'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 Debayan Deb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debayan Deb more than expected).
Fields of papers citing papers by Debayan Deb
This network shows the impact of papers produced by Debayan Deb. 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 Debayan Deb. The network helps show where Debayan Deb may publish in the future.
Co-authors
The 8 scholars most cited alongside Debayan Deb, 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 | 2019 | 55 | |
| 2 | 2017 | 19 | |
| 3 | 2020 | 17 | |
| 4 | 2021 | 9 | |
| 5 | Infant-Prints: Fingerprints for Reducing Infant Mortality | 2019 | 3 |
| 6 | 2023 | 1 |
About Debayan Deb
Debayan Deb is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Archeology, Computational Mechanics and Information Systems, having authored 6 papers that have together received 104 indexed citations. Recurring topics across this work include Face recognition and analysis (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Biometric Identification and Security (2 papers), 3D Shape Modeling and Analysis (1 paper), Face and Expression Recognition (1 paper), Advanced Malware Detection Techniques (1 paper), Human Pose and Action Recognition (1 paper) and User Authentication and Security Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (78 citations), Computer Graphics and Computer-Aided Design (8 citations), Signal Processing (20 citations), Computational Mechanics (13 citations) and Artificial Intelligence (17 citations). Debayan Deb has collaborated with scholars based in United States and India. Frequent co-authors include Anil K. Jain, Yichun Shi, Lacey Best-Rowden, Haochen Liu, Yao Ma, Jiliang Tang, Han Xu and Hui Liu. Their work appears in journals such as International Journal of Automation and Computing and arXiv (Cornell University).
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.