Rijo Roy
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Brain Tumor Detection and Classification
Papers in
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- AI in cancer detection 5
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- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 2
- MRI in cancer diagnosis 1
- Co-authors
- Abin Jose (5 shared papers)Dorit Merhof (2 shared papers)Amirhossein Kazerouni (2 shared papers)Ehsan Khodapanah Aghdam (2 shared papers)Moein Heidari (2 shared papers)Amirali Molaei (2 shared papers)Reza Azad (3 shared papers)Johannes Stegmaier (3 shared papers)
- Journals
- Radiology (1 paper)PLoS Computational Biology (1 paper)Medical Image Analysis (1 paper)PLoS ONE (1 paper)arXiv (Cornell University) (1 paper)
In The Last Decade
Rijo Roy
6 papers receiving 220 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Health Informatics 17
- Neurology 44
- Radiology, Nuclear Medicine and Imaging 94
- Computer Vision and Pattern Recognition 78
- Artificial Intelligence 77
Countries citing papers authored by Rijo Roy
This map shows the geographic impact of Rijo 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 Rijo Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rijo Roy more than expected).
Fields of papers citing papers by Rijo Roy
This network shows the impact of papers produced by Rijo 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 Rijo Roy. The network helps show where Rijo Roy may publish in the future.
Co-authors
The 17 scholars most cited alongside Rijo 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 | Advances in medical image analysis with vision Transformers: A comprehensive review Hit paper breakdown → | 2023 | 188 |
| 2 | 2024 | 15 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 4 | |
| 6 | 2024 | 2 |
About Rijo Roy
Rijo Roy is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biophysics, Molecular Biology and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 225 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Cell Image Analysis Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (2 papers), Image Processing Techniques and Applications (1 paper), Gene expression and cancer classification (1 paper), MRI in cancer diagnosis (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Health Informatics (17 citations), Neurology (44 citations), Radiology, Nuclear Medicine and Imaging (94 citations), Computer Vision and Pattern Recognition (78 citations) and Artificial Intelligence (77 citations). Rijo Roy has collaborated with scholars based in Germany and Iran. Frequent co-authors include Abin Jose, Dorit Merhof, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Amirali Molaei, Reza Azad, Johannes Stegmaier, Dennis Eschweiler and Moritz Palmowski. Their work appears in journals such as Radiology, PLoS Computational Biology, Medical Image Analysis, PLoS ONE 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.