Michael Morris

1.4k citations
46 papers · 908 · h-index 17

Impact in

Papers in

Michael Morris

45 papers receiving 872 citations

Peers

Michael Morris
Comparison fields: 5 of 119
  • Health Informatics 97
  • Radiology, Nuclear Medicine and Imaging 270
  • Nephrology 60
  • Orthopedics and Sports Medicine 69
  • Epidemiology 116
Replace Carina Marí Aparici with:
Carina Marí Aparici United States
Sammy Badr France
Thomas C. Booth United Kingdom
Sun‐Won Park South Korea
Eugene Lee South Korea
Wenbo Li China
Christian Knackstedt Netherlands
Javin Schefflein United States
Huishu Yuan China
Bo He China
Michael Morris relative to Carina Marí Aparici United States Carina Marí Aparici's profile →
Citations per field
00.5×4.9×
Carina Marí Aparici · 1×
Citations per year

Countries citing papers authored by Michael Morris

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael Morris Line = papers co-authored together Michael Morris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202094
2 198084
3 200675
4 202156
5 202256
6 199850
7 198250
8 201748
9 202235
10 202133
11 201533
12 200728
13
Leveraging remote behavioral health interventions to improve medical outcomes and reduce costs.
201524
14 200922
15 202122
16 201722
17 202116
18 202016
19 200716
20 202014

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 908 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Imaging Techniques and Applications (9 papers), COVID-19 diagnosis using AI (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Radiology practices and education (3 papers), Advanced X-ray and CT Imaging (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Medical Imaging and Pathology Studies (2 papers). The work is most often cited by research in Health Informatics (97 citations), Radiology, Nuclear Medicine and Imaging (270 citations), Nephrology (60 citations), Orthopedics and Sports Medicine (69 citations) and Epidemiology (116 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, Jarrod D. Knudson, Paige S. Katz and Johnathan D. Tune. Their work appears in journals such as British Journal of Radiology, Journal of Digital Imaging, Journal of Nuclear Medicine, Medical Clinics of North America and Muscle & Nerve.

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.

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