Saikat Roy
Impact in
- Media Technology top 5%
- Vehicle License Plate Recognition
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Digital Media Forensic Detection
Papers in
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- Handwritten Text Recognition Techniques 3
- Image Processing and 3D Reconstruction 2
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- Artificial Intelligence in Games 1
- Reinforcement Learning in Robotics 1
- Co-authors
- Mahantapas Kundu (1 shared paper)Nibaran Das (1 shared paper)Mita Nasipuri (1 shared paper)Thomas G. Dietterich (1 shared paper)Alan Fern (1 shared paper)Arindam Das (2 shared papers)Ujjwal Bhattacharya (1 shared paper)Ujjwal Maulik (1 shared paper)
- Journals
- Molecular Psychiatry (1 paper)Pattern Recognition Letters (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Saikat Roy
8 papers receiving 149 citations
Peers
Comparison fields: 5 of 39
- Media Technology 58
- Computer Vision and Pattern Recognition 90
- Human-Computer Interaction 15
- Artificial Intelligence 76
- Control and Systems Engineering 19
Countries citing papers authored by Saikat Roy
This map shows the geographic impact of Saikat 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 Saikat Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saikat Roy more than expected).
Fields of papers citing papers by Saikat Roy
This network shows the impact of papers produced by Saikat 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 Saikat Roy. The network helps show where Saikat Roy may publish in the future.
Co-authors
The 21 scholars most cited alongside Saikat 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 85 | |
| 2 | 2010 | 44 | |
| 3 | 2016 | 6 | |
| 4 | 2024 | 5 | |
| 5 | 2017 | 4 | |
| 6 | 2013 | 4 | |
| 7 | 2013 | 4 | |
| 8 | 2017 | 3 | |
| 9 | 2025 | 0 |
About Saikat Roy
Saikat Roy is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 155 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (3 papers), Vehicle License Plate Recognition (2 papers), Image Processing and 3D Reconstruction (2 papers), Artificial Intelligence in Games (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced Radiotherapy Techniques (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and Reinforcement Learning in Robotics (1 paper). The work is most often cited by research in Media Technology (58 citations), Computer Vision and Pattern Recognition (90 citations), Human-Computer Interaction (15 citations), Artificial Intelligence (76 citations) and Control and Systems Engineering (19 citations). Saikat Roy has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Mahantapas Kundu, Nibaran Das, Mita Nasipuri, Thomas G. Dietterich, Alan Fern, Arindam Das, Ujjwal Bhattacharya, Ujjwal Maulik, Soumya Banerjee and Ujjwal Maulik. Their work appears in journals such as Molecular Psychiatry, Pattern Recognition Letters and Proceedings of the AAAI Conference on Artificial Intelligence.
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.