Michael Morris
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Pulmonary and Respiratory Medicine
- Epidemiology
- Biomedical Engineering
- Co-authors
- Babak SabouryPatrick J. KellyEliot L. SiegelElizabeth C. JonesArman RahmimRonald M. SummersJarrod D. KnudsonGregory M. Dick
- Topics
- Radiomics and Machine Learning in Medical Imaging (15 papers)Medical Imaging Techniques and Applications (10 papers)COVID-19 diagnosis using AI (5 papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular BiologyAmerican Journal of Physiology-Heart and Circulatory PhysiologyAmerican Journal of Roentgenology
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Michael Morris
45 papers receiving 844 citations
Peers
Comparison fields: 5 of 124
- Radiology, Nuclear Medicine and Imaging 325
- Surgery 141
- Pulmonary and Respiratory Medicine 132
- Epidemiology 125
- Biomedical Engineering 119
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-authorship network of co-authors of Michael Morris
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Morris. A scholar is included among the top collaborators of Michael Morris based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Morris. Michael Morris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 11 | |
| 8 | 50 | |
| 9 | 13 | |
| 10 | 14 | |
| 11 | 15 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 21 | |
| 15 | Leveraging remote behavioral health interventions to improve medical outcomes and reduce costs. | 24 |
| 16 | 33 | |
| 17 | 22 | |
| 18 | 28 | |
| 19 | 75 | |
| 20 | 50 |
About Michael Morris
Michael Morris is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Nephrology, 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) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Health Informatics (103 citations), Radiology, Nuclear Medicine and Imaging (325 citations) and Orthopedics and Sports Medicine (84 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, Jarrod D. Knudson, Gregory M. Dick, Johnathan D. Tune and Tarcisio Mendes de Farias. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, American Journal of Physiology-Heart and Circulatory Physiology and American Journal of Roentgenology.
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.