Rahul Paul
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 17
- COVID-19 diagnosis using AI 5
-
- Lung Cancer Diagnosis and Treatment 11
- Co-authors
- Robert J. Gillies (14 shared papers)Nithesh Naik (13 shared papers)Dasharathraj K Shetty (12 shared papers)Bhaskar Somani (9 shared papers)B. M. Zeeshan Hameed (8 shared papers)Matthew B. Schabath (11 shared papers)Dmitry B. Goldgof (14 shared papers)Lawrence Hall (14 shared papers)
- Journals
- Tomography (4 papers)Engineered Science (3 papers)Electronics (2 papers)IEEE Access (2 papers)Journal of Clinical Medicine (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Rahul Paul
48 papers receiving 1.3k citations
Rahul Paul's Hit Papers
Peers
Comparison fields: 5 of 155
- Health Informatics 361
- Radiology, Nuclear Medicine and Imaging 553
- Health Information Management 69
- Artificial Intelligence 402
- Pulmonary and Respiratory Medicine 261
Countries citing papers authored by Rahul Paul
This map shows the geographic impact of Rahul Paul'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 Rahul Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Paul more than expected).
Fields of papers citing papers by Rahul Paul
This network shows the impact of papers produced by Rahul Paul. 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 Rahul Paul. The network helps show where Rahul Paul may publish in the future.
Co-authors
The 25 scholars most cited alongside Rahul Paul, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility? Hit paper breakdown → | 2022 | 480 |
| 2 | 2016 | 133 | |
| 3 | 2021 | 91 | |
| 4 | 2018 | 73 | |
| 5 | 2021 | 62 | |
| 6 | 2016 | 56 | |
| 7 | 2018 | 36 | |
| 8 | 2023 | 28 | |
| 9 | 2022 | 28 | |
| 10 | 2020 | 28 | |
| 11 | 2021 | 26 | |
| 12 | 2019 | 25 | |
| 13 | 2020 | 23 | |
| 14 | 2023 | 21 | |
| 15 | 2021 | 19 | |
| 16 | 2022 | 18 | |
| 17 | 2022 | 18 | |
| 18 | 2019 | 17 | |
| 19 | 2013 | 17 | |
| 20 | 2021 | 16 |
About Rahul Paul
Rahul Paul is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Computer Vision and Pattern Recognition and Pediatrics, Perinatology and Child Health, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (17 papers), Lung Cancer Diagnosis and Treatment (11 papers), AI in cancer detection (10 papers), COVID-19 diagnosis using AI (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Neonatal and fetal brain pathology (3 papers), Advanced X-ray and CT Imaging (3 papers) and Topological and Geometric Data Analysis (3 papers). The work is most often cited by research in Health Informatics (361 citations), Radiology, Nuclear Medicine and Imaging (553 citations), Health Information Management (69 citations), Artificial Intelligence (402 citations) and Pulmonary and Respiratory Medicine (261 citations). Rahul Paul has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Robert J. Gillies, Nithesh Naik, Dasharathraj K Shetty, Bhaskar Somani, B. M. Zeeshan Hameed, Matthew B. Schabath, Dmitry B. Goldgof, Lawrence Hall, Vathsala Patil and Komal Smriti. Their work appears in journals such as Tomography, Engineered Science, Electronics, IEEE Access and Journal of Clinical Medicine.
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.