Gregory Holste
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
Papers in
-
- COVID-19 diagnosis using AI 7
- Radiomics and Machine Learning in Medical Imaging 5
- Autopsy Techniques and Outcomes 2
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- AI in cancer detection 5
- Co-authors
- Zhangyang Wang (12 shared papers)Rohan Khera (9 shared papers)Evangelos K. Oikonomou (7 shared papers)Adam Alessio (5 shared papers)Yifan Peng (5 shared papers)Bobak J. Mortazavi (3 shared papers)Andreas Coppi (3 shared papers)Savannah C. Partridge (1 shared paper)
- Journals
- JAMA (2 papers)Journal of the American Medical Informatics Association (1 paper)IEEE Transactions on Medical Imaging (1 paper)Circulation (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- United StatesUnited KingdomHungary
In The Last Decade
Gregory Holste
20 papers receiving 312 citations
Gregory Holste's Hit Papers
Peers
Comparison fields: 5 of 59
- Health Informatics 58
- Radiology, Nuclear Medicine and Imaging 122
- Cardiology and Cardiovascular Medicine 85
- Health Information Management 18
- Critical Care and Intensive Care Medicine 17
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 68 | |
| 2 | 2021 | 49 | |
| 3 | 2024 | 38 | |
| 4 | 2022 | 33 | |
| 5 | 2022 | 19 | |
| 6 | 2023 | 18 | |
| 7 | 2025 | 18 | |
| 8 | Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study Hit paper breakdown → | 2025 | 18 |
| 9 | 2024 | 14 | |
| 10 | 2024 | 13 | |
| 11 | 2024 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Gregory Holste
Gregory Holste is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 21 papers that have together received 320 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers), Cardiac Valve Diseases and Treatments (3 papers), Autopsy Techniques and Outcomes (2 papers), Trauma Management and Diagnosis (2 papers), Phonocardiography and Auscultation Techniques (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (58 citations), Radiology, Nuclear Medicine and Imaging (122 citations), Cardiology and Cardiovascular Medicine (85 citations), Health Information Management (18 citations) and Critical Care and Intensive Care Medicine (17 citations). Gregory Holste has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Zhangyang Wang, Rohan Khera, Evangelos K. Oikonomou, Adam Alessio, Yifan Peng, Bobak J. Mortazavi, Andreas Coppi, Savannah C. Partridge, Habib Rahbar and Robert L. McNamara. Their work appears in journals such as JAMA, Journal of the American Medical Informatics Association, IEEE Transactions on Medical Imaging, Circulation and Journal of the American College of Cardiology.
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.