Michael Morris
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
- Radiology practices and education
Papers in
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- Radiomics and Machine Learning in Medical Imaging 15
- Medical Imaging Techniques and Applications 10
- COVID-19 diagnosis using AI 5
- Radiology practices and education 5
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- Medical Imaging and Pathology Studies 3
- Co-authors
- Babak Saboury (24 shared papers)Patrick J. Kelly (2 shared papers)Eliot L. Siegel (13 shared papers)Elizabeth C. Jones (6 shared papers)Arman Rahmim (5 shared papers)Ronald M. Summers (3 shared papers)Gregory M. Dick (1 shared paper)Johnathan D. Tune (1 shared paper)
- Journals
- Muscle & Nerve (2 papers)Journal of Nuclear Medicine (2 papers)Medical Clinics of North America (2 papers)British Journal of Radiology (2 papers)Journal of Digital Imaging (2 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Michael Morris
45 papers receiving 844 citations
Peers
Comparison fields: 5 of 124
- Health Informatics 103
- Radiology, Nuclear Medicine and Imaging 325
- Orthopedics and Sports Medicine 84
- Nephrology 55
- Rehabilitation 28
Countries citing papers authored by Michael Morris
This map shows the geographic impact of Michael Morris'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 Michael Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Morris more than expected).
Fields of papers citing papers by Michael Morris
This network shows the impact of papers produced by Michael Morris. 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 Michael Morris. The network helps show where Michael Morris may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Morris, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 91 | |
| 2 | 1980 | 84 | |
| 3 | 2006 | 75 | |
| 4 | 2021 | 50 | |
| 5 | 1998 | 50 | |
| 6 | 1982 | 50 | |
| 7 | 2022 | 49 | |
| 8 | 2017 | 48 | |
| 9 | 2015 | 33 | |
| 10 | 2021 | 32 | |
| 11 | 2022 | 30 | |
| 12 | 2007 | 28 | |
| 13 | Leveraging remote behavioral health interventions to improve medical outcomes and reduce costs. | 2015 | 24 |
| 14 | 2009 | 22 | |
| 15 | 2021 | 22 | |
| 16 | 2017 | 21 | |
| 17 | 2007 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2021 | 13 |
About Michael Morris
Michael Morris is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology, Biomedical Engineering and Surgery, having authored 46 papers that have together received 878 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), Medical Imaging Techniques and Applications (10 papers), COVID-19 diagnosis using AI (5 papers), Radiology practices and education (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Medical Imaging and Pathology Studies (3 papers), Advanced X-ray and CT Imaging (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Informatics (103 citations), Radiology, Nuclear Medicine and Imaging (325 citations), Orthopedics and Sports Medicine (84 citations), Nephrology (55 citations) and Rehabilitation (28 citations). Michael Morris has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Babak Saboury, Patrick J. Kelly, Eliot L. Siegel, Elizabeth C. Jones, Arman Rahmim, Ronald M. Summers, Gregory M. Dick, Johnathan D. Tune, Tarcisio Mendes de Farias and Paige S. Katz. Their work appears in journals such as Muscle & Nerve, Journal of Nuclear Medicine, Medical Clinics of North America, British Journal of Radiology and Journal of Digital Imaging.
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.