Gregory Holste
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
- COVID-19 diagnosis using AI
Papers in
-
- COVID-19 diagnosis using AI 7
- Cardiac Imaging and Diagnostics 5
- Radiomics and Machine Learning in Medical Imaging 5
- Autopsy Techniques and Outcomes 2
-
- Cardiac Valve Diseases and Treatments 3
- 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)Harlan M. Krumholz (3 shared papers)Savannah C. Partridge (1 shared paper)Habib Rahbar (1 shared paper)
- Journals
- JAMA (2 papers)Circulation Cardiovascular Imaging (1 paper)Scientific Reports (1 paper)Radiology Artificial Intelligence (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomHungary
In The Last Decade
Gregory Holste
19 papers receiving 251 citations
Gregory Holste's Hit Papers
Peers
Comparison fields: 5 of 52
- Health Informatics 60
- Radiology, Nuclear Medicine and Imaging 139
- Cardiology and Cardiovascular Medicine 82
- Health Information Management 16
- Critical Care and Intensive Care Medicine 15
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 | 57 | |
| 2 | 2021 | 41 | |
| 3 | 2024 | 32 | |
| 4 | 2022 | 25 | |
| 5 | 2022 | 17 | |
| 6 | Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study Hit paper breakdown → | 2025 | 15 |
| 7 | 2023 | 15 | |
| 8 | 2024 | 11 | |
| 9 | 2025 | 11 | |
| 10 | 2024 | 10 | |
| 11 | 2020 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2020 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Gregory Holste
Gregory Holste is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Pulmonary and Respiratory Medicine and Surgery, having authored 21 papers that have together received 257 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (7 papers), Cardiac Imaging and Diagnostics (5 papers), AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Phonocardiography and Auscultation Techniques (4 papers), Cardiac Valve Diseases and Treatments (3 papers), Autopsy Techniques and Outcomes (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (60 citations), Radiology, Nuclear Medicine and Imaging (139 citations), Cardiology and Cardiovascular Medicine (82 citations), Health Information Management (16 citations) and Critical Care and Intensive Care Medicine (15 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, Harlan M. Krumholz, Savannah C. Partridge, Habib Rahbar, Andreas Coppi and Christoph I. Lee. Their work appears in journals such as JAMA, Circulation Cardiovascular Imaging, Scientific Reports, Radiology Artificial Intelligence 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.