Michael M. Moore
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Emergency Medicine top 10%
- Appendicitis Diagnosis and Management
Papers in
-
- Radiation Dose and Imaging 7
- Radiology practices and education 6
- COVID-19 diagnosis using AI 2
- Advanced MRI Techniques and Applications 2
-
- Appendicitis Diagnosis and Management 4
- Co-authors
- David L. Young (1 shared paper)Lucinda A. Halstead (1 shared paper)Ramesh S. Iyer (5 shared papers)James M. Brian (5 shared papers)Raymond W. Sze (3 shared papers)Einat Slonimsky (1 shared paper)Aaron Long (1 shared paper)Sosamma T. Methratta (2 shared papers)
- Journals
- Journal of the American College of Radiology (2 papers)Diagnosis (1 paper)Clinical Radiology (1 paper)American Journal of Roentgenology (1 paper)Skeletal Radiology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Michael M. Moore
17 papers receiving 286 citations
Peers
Comparison fields: 5 of 73
- Health Informatics 34
- Emergency Medicine 83
- Critical Care and Intensive Care Medicine 30
- Radiology, Nuclear Medicine and Imaging 105
- Family Practice 8
Countries citing papers authored by Michael M. Moore
This map shows the geographic impact of Michael M. Moore'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 M. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael M. Moore more than expected).
Fields of papers citing papers by Michael M. Moore
This network shows the impact of papers produced by Michael M. Moore. 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 M. Moore. The network helps show where Michael M. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael M. Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 59 | |
| 2 | 2015 | 58 | |
| 3 | 2019 | 42 | |
| 4 | 2017 | 31 | |
| 5 | 2019 | 18 | |
| 6 | 2021 | 18 | |
| 7 | 2015 | 16 | |
| 8 | 2021 | 16 | |
| 9 | 2019 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 2013 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2009 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2023 | 0 |
About Michael M. Moore
Michael M. Moore is a scholar working on Radiology, Nuclear Medicine and Imaging, Emergency Medicine, Surgery, Critical Care and Intensive Care Medicine and Health Informatics, having authored 18 papers that have together received 291 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (7 papers), Radiology practices and education (6 papers), Ultrasound in Clinical Applications (4 papers), Appendicitis Diagnosis and Management (4 papers), COVID-19 diagnosis using AI (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Lanthanide and Transition Metal Complexes (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (34 citations), Emergency Medicine (83 citations), Critical Care and Intensive Care Medicine (30 citations), Radiology, Nuclear Medicine and Imaging (105 citations) and Family Practice (8 citations). Michael M. Moore has collaborated with scholars based in United States and Canada. Frequent co-authors include David L. Young, Lucinda A. Halstead, Ramesh S. Iyer, James M. Brian, Raymond W. Sze, Einat Slonimsky, Aaron Long, Sosamma T. Methratta, Afif N. Kulaylat and Brett W. Engbrecht. Their work appears in journals such as Journal of the American College of Radiology, Diagnosis, Clinical Radiology, American Journal of Roentgenology and Skeletal Radiology.
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.