Suraj Pai
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 5
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- Advanced Radiotherapy Techniques 2
- Co-authors
- Ibrahim Hadžić (4 shared papers)Dennis Bontempi (3 shared papers)Tafadzwa L. Chaunzwa (1 shared paper)Mateo Sokač (1 shared paper)Hugo J.W.L. Aerts (3 shared papers)Ahmed Hosny (2 shared papers)Nicolai J. Birkbak (1 shared paper)Simon Bernatz (1 shared paper)
- Journals
- Radiotherapy and Oncology (1 paper)Physics and Imaging in Radiation Oncology (1 paper)Nature Machine Intelligence (1 paper)Sensors (1 paper)Scientific Reports (1 paper)
- Partner nations
- NetherlandsUnited StatesCanada
In The Last Decade
Suraj Pai
8 papers receiving 159 citations
Suraj Pai's Hit Papers
Peers
Comparison fields: 5 of 54
- Health Informatics 23
- Radiology, Nuclear Medicine and Imaging 59
- Human-Computer Interaction 13
- Radiation 13
- Structural Biology 2
Countries citing papers authored by Suraj Pai
This map shows the geographic impact of Suraj Pai'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 Suraj Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suraj Pai more than expected).
Fields of papers citing papers by Suraj Pai
This network shows the impact of papers produced by Suraj Pai. 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 Suraj Pai. The network helps show where Suraj Pai may publish in the future.
Co-authors
The 25 scholars most cited alongside Suraj Pai, 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 | Foundation model for cancer imaging biomarkers Hit paper breakdown → | 2024 | 84 |
| 2 | 2021 | 34 | |
| 3 | 2019 | 18 | |
| 4 | 2024 | 7 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2025 | 0 |
About Suraj Pai
Suraj Pai is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Artificial Intelligence, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 159 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (5 papers), AI in cancer detection (3 papers), Advanced Radiotherapy Techniques (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Hand Gesture Recognition Systems (1 paper), Lung Cancer Diagnosis and Treatment (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Health Informatics (23 citations), Radiology, Nuclear Medicine and Imaging (59 citations), Human-Computer Interaction (13 citations), Radiation (13 citations) and Structural Biology (2 citations). Suraj Pai has collaborated with scholars based in Netherlands, United States and Canada. Frequent co-authors include Ibrahim Hadžić, Dennis Bontempi, Tafadzwa L. Chaunzwa, Mateo Sokač, Hugo J.W.L. Aerts, Ahmed Hosny, Nicolai J. Birkbak, Simon Bernatz, Raymond H. Mak and Sanjay Singh. Their work appears in journals such as Radiotherapy and Oncology, Physics and Imaging in Radiation Oncology, Nature Machine Intelligence, Sensors and Scientific Reports.
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.