Varun Buch
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
-
- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 1
- Cardiac Imaging and Diagnostics 1
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- Machine Learning in Healthcare 2
- Co-authors
- Mahiben Maruthappu (2 shared papers)Irfan Ahmed (1 shared paper)George Varughese (1 shared paper)Ittai Dayan (4 shared papers)Quanzheng Li (3 shared papers)Bernardo C. Bizzo (3 shared papers)Dufan Wu (3 shared papers)Mannudeep K. Kalra (3 shared papers)
- Journals
- Journal of Digital Imaging (1 paper)Medical Image Analysis (1 paper)Diabetic Medicine (1 paper)Radiology Artificial Intelligence (1 paper)Physics in Medicine and Biology (1 paper)
- Partner nations
- United StatesUnited KingdomIran
In The Last Decade
Varun Buch
10 papers receiving 416 citations
Peers
Comparison fields: 5 of 94
- Health Informatics 127
- Health Information Management 40
- Radiology, Nuclear Medicine and Imaging 130
- Critical Care and Intensive Care Medicine 16
- Family Practice 6
Countries citing papers authored by Varun Buch
This map shows the geographic impact of Varun Buch'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 Varun Buch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varun Buch more than expected).
Fields of papers citing papers by Varun Buch
This network shows the impact of papers produced by Varun Buch. 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 Varun Buch. The network helps show where Varun Buch may publish in the future.
Co-authors
The 25 scholars most cited alongside Varun Buch, 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 | 2018 | 260 | |
| 2 | 2021 | 53 | |
| 3 | 2021 | 30 | |
| 4 | 2018 | 29 | |
| 5 | 2022 | 18 | |
| 6 | 2021 | 15 | |
| 7 | 2023 | 14 | |
| 8 | 2021 | 10 | |
| 9 | 2016 | 5 | |
| 10 | 2012 | 4 | |
| 11 | 2022 | 0 |
About Varun Buch
Varun Buch is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Epidemiology, having authored 11 papers that have together received 438 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), Machine Learning in Healthcare (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Artificial Intelligence in Healthcare (1 paper), Cardiac Imaging and Diagnostics (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Health Informatics (127 citations), Health Information Management (40 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Critical Care and Intensive Care Medicine (16 citations) and Family Practice (6 citations). Varun Buch has collaborated with scholars based in United States, United Kingdom and Iran. Frequent co-authors include Mahiben Maruthappu, Irfan Ahmed, George Varughese, Ittai Dayan, Quanzheng Li, Bernardo C. Bizzo, Dufan Wu, Mannudeep K. Kalra, Anmol Arora and Christopher A. Lovejoy. Their work appears in journals such as Journal of Digital Imaging, Medical Image Analysis, Diabetic Medicine, Radiology Artificial Intelligence and Physics in Medicine and Biology.
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.