Gregory Holste
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Healthcare and Education 9
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- COVID-19 diagnosis using AI 6
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Zhangyang Wang (12 shared papers)Rohan Khera (9 shared papers)Evangelos K. Oikonomou (7 shared papers)Yifan Peng (6 shared papers)Bobak J. Mortazavi (3 shared papers)Adam Michael Alessio (5 shared papers)Robert L. McNamara (3 shared papers)Andreas C. Coppi (3 shared papers)
- Journals
- JAMA (2 papers)Medical Image Analysis (2 papers)IEEE Transactions on Medical Imaging (2 papers)The Lancet Digital Health (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Gregory Holste
23 papers receiving 426 citations
Peers
Comparison fields: 5 of 50
- Health Informatics 170
- Health Information Management 58
- Cardiology and Cardiovascular Medicine 98
- Radiology, Nuclear Medicine and Imaging 77
- Computer Vision and Pattern Recognition 74
Countries citing papers authored by Gregory Holste
This map shows the geographic impact of Gregory Holste'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 Gregory Holste with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Holste more than expected).
Fields of papers citing papers by Gregory Holste
This network shows the impact of papers produced by Gregory Holste. 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 Gregory Holste. The network helps show where Gregory Holste may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory Holste, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 89 | |
| 2 | 2021 | 46 | |
| 3 | 2024 | 45 | |
| 4 | 2022 | 39 | |
| 5 | 2025 | 30 | |
| 6 | 2023 | 24 | |
| 7 | 2025 | 23 | |
| 8 | 2022 | 22 | |
| 9 | 2024 | 21 | |
| 10 | 2024 | 18 | |
| 11 | 2024 | 18 | |
| 12 | 2024 | 12 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2023 | 3 |
About Gregory Holste
Gregory Holste is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Health Information Management, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 431 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (9 papers), COVID-19 diagnosis using AI (6 papers), Cardiac Valve Diseases and Treatments (4 papers), Artificial Intelligence in Healthcare (3 papers), Medical Imaging and Analysis (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Child Abuse and Related Trauma (2 papers). The work is most often cited by research in Health Informatics (170 citations), Health Information Management (58 citations), Cardiology and Cardiovascular Medicine (98 citations), Radiology, Nuclear Medicine and Imaging (77 citations) and Computer Vision and Pattern Recognition (74 citations). Gregory Holste has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Zhangyang Wang, Rohan Khera, Evangelos K. Oikonomou, Yifan Peng, Bobak J. Mortazavi, Adam Michael Alessio, Robert L. McNamara, Andreas C. Coppi, Harlan M. Krumholz and Neal Yuan. Their work appears in journals such as JAMA, Medical Image Analysis, IEEE Transactions on Medical Imaging, The Lancet Digital Health and Nature Communications.
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.