Terrence Healey
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Lung Cancer Diagnosis and Treatment 11
- Medical Imaging and Pathology Studies 9
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 4
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- COVID-19 diagnosis using AI 6
- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Damian Edward Dupuy (10 shared papers)Saurabh Agarwal (11 shared papers)Michael K. Atalay (5 shared papers)Harrison Xiao Bai (2 shared papers)Zeng Xiong (1 shared paper)Mei Ji (1 shared paper)Weihua Liao (1 shared paper)Kasey Halsey (2 shared papers)
- Journals
- Journal of Vascular and Interventional Radiology (4 papers)Journal of the American College of Radiology (4 papers)American Journal of Roentgenology (3 papers)European Radiology (3 papers)Respiratory Care (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Terrence Healey
49 papers receiving 1.8k citations
Terrence Healey's Hit Papers
Peers
Comparison fields: 5 of 108
- Health Informatics 154
- Radiology, Nuclear Medicine and Imaging 764
- Critical Care and Intensive Care Medicine 130
- Infectious Diseases 417
- Pulmonary and Respiratory Medicine 371
Countries citing papers authored by Terrence Healey
This map shows the geographic impact of Terrence Healey'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 Terrence Healey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terrence Healey more than expected).
Fields of papers citing papers by Terrence Healey
This network shows the impact of papers produced by Terrence Healey. 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 Terrence Healey. The network helps show where Terrence Healey may publish in the future.
Co-authors
The 25 scholars most cited alongside Terrence Healey, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT Hit paper breakdown → | 2020 | 911 |
| 2 | 2016 | 106 | |
| 3 | 2021 | 95 | |
| 4 | 2020 | 87 | |
| 5 | 2023 | 81 | |
| 6 | 2022 | 77 | |
| 7 | 2021 | 49 | |
| 8 | 2013 | 46 | |
| 9 | 2019 | 34 | |
| 10 | 2022 | 30 | |
| 11 | 2013 | 29 | |
| 12 | 2012 | 29 | |
| 13 | 2022 | 28 | |
| 14 | 2011 | 27 | |
| 15 | 2014 | 25 | |
| 16 | 2011 | 22 | |
| 17 | 2018 | 19 | |
| 18 | 2010 | 19 | |
| 19 | 2014 | 18 | |
| 20 | 2019 | 17 |
About Terrence Healey
Terrence Healey is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Hepatology, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (11 papers), Medical Imaging and Pathology Studies (9 papers), COVID-19 diagnosis using AI (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Health Informatics (154 citations), Radiology, Nuclear Medicine and Imaging (764 citations), Critical Care and Intensive Care Medicine (130 citations), Infectious Diseases (417 citations) and Pulmonary and Respiratory Medicine (371 citations). Terrence Healey has collaborated with scholars based in United States, China and France. Frequent co-authors include Damian Edward Dupuy, Saurabh Agarwal, Michael K. Atalay, Harrison Xiao Bai, Zeng Xiong, Mei Ji, Weihua Liao, Kasey Halsey, Thi My Linh Tran and Sha Li. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Journal of the American College of Radiology, American Journal of Roentgenology, European Radiology and Respiratory Care.
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.