Arya Rao
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills
Papers in
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- Artificial Intelligence in Healthcare and Education 9
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- COVID-19 diagnosis using AI 3
- Radiology practices and education 2
- Co-authors
- Marc D. Succi (15 shared papers)Keith J. Dreyer (5 shared papers)John Kim (7 shared papers)Michael Pang (3 shared papers)Winston Lie (4 shared papers)Meghana Kamineni (2 shared papers)Adam Landman (6 shared papers)A Prasad (1 shared paper)
- Journals
- Journal of the American College of Radiology (2 papers)JAMA (1 paper)Journal of the American Pharmacists Association (1 paper)JMIR Medical Education (1 paper)Journal of Medical Systems (1 paper)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Arya Rao
17 papers receiving 521 citations
Arya Rao's Hit Papers
Peers
Comparison fields: 5 of 75
- Health Informatics 390
- Family Practice 53
- Radiology, Nuclear Medicine and Imaging 224
- Artificial Intelligence 202
- Health Information Management 28
Countries citing papers authored by Arya Rao
This map shows the geographic impact of Arya Rao'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 Arya Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arya Rao more than expected).
Fields of papers citing papers by Arya Rao
This network shows the impact of papers produced by Arya Rao. 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 Arya Rao. The network helps show where Arya Rao may publish in the future.
Co-authors
The 25 scholars most cited alongside Arya Rao, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study Hit paper breakdown → | 2023 | 228 |
| 2 | 2023 | 189 | |
| 3 | 2019 | 26 | |
| 4 | 2023 | 18 | |
| 5 | 2024 | 18 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Arya Rao
Arya Rao is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Surgery and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 524 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (9 papers), COVID-19 diagnosis using AI (3 papers), Interpreting and Communication in Healthcare (2 papers), Radiology practices and education (2 papers), Innovations in Medical Education (2 papers), Spinal Fractures and Fixation Techniques (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Scoliosis diagnosis and treatment (2 papers). The work is most often cited by research in Health Informatics (390 citations), Family Practice (53 citations), Radiology, Nuclear Medicine and Imaging (224 citations), Artificial Intelligence (202 citations) and Health Information Management (28 citations). Arya Rao has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Marc D. Succi, Keith J. Dreyer, John Kim, Michael Pang, Winston Lie, Meghana Kamineni, Adam Landman, A Prasad, Cameron C. Young and Efrén J. Flores. Their work appears in journals such as Journal of the American College of Radiology, JAMA, Journal of the American Pharmacists Association, JMIR Medical Education and Journal of Medical Systems.
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.