Michael M. Moore
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Emergency Medicine top 5%
- Appendicitis Diagnosis and Management
Papers in
-
- Radiation Dose and Imaging 5
- Radiology practices and education 5
- COVID-19 diagnosis using AI 2
-
- Appendicitis Diagnosis and Management 4
- Co-authors
- Lucinda A. Halstead (1 shared paper)David L. Young (1 shared paper)Ramesh S. Iyer (5 shared papers)James M. Brian (5 shared papers)Raymond W. Sze (3 shared papers)Aaron Long (1 shared paper)Einat Slonimsky (1 shared paper)Afif N. Kulaylat (3 shared papers)
- Journals
- Journal of the American College of Radiology (3 papers)American Journal of Roentgenology (1 paper)Journal of Voice (1 paper)Clinical Radiology (1 paper)Journal of Pediatric Surgery (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Michael M. Moore
17 papers receiving 305 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 32
- Emergency Medicine 83
- Radiology, Nuclear Medicine and Imaging 68
- Critical Care and Intensive Care Medicine 12
- Epidemiology 68
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 | 2015 | 64 | |
| 2 | 2014 | 63 | |
| 3 | 2019 | 45 | |
| 4 | 2017 | 34 | |
| 5 | 2019 | 20 | |
| 6 | 2021 | 20 | |
| 7 | 2021 | 19 | |
| 8 | 2015 | 16 | |
| 9 | 2019 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2013 | 5 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2009 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2026 | 0 | |
| 19 | 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 19 papers that have together received 316 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (5 papers), Radiology practices and education (5 papers), Appendicitis Diagnosis and Management (4 papers), Ultrasound in Clinical Applications (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), COVID-19 diagnosis using AI (2 papers), Lanthanide and Transition Metal Complexes (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (32 citations), Emergency Medicine (83 citations), Radiology, Nuclear Medicine and Imaging (68 citations), Critical Care and Intensive Care Medicine (12 citations) and Epidemiology (68 citations). Michael M. Moore has collaborated with scholars based in United States and Canada. Frequent co-authors include Lucinda A. Halstead, David L. Young, Ramesh S. Iyer, James M. Brian, Raymond W. Sze, Aaron Long, Einat Slonimsky, Afif N. Kulaylat, Brett W. Engbrecht and Sosamma T. Methratta. Their work appears in journals such as Journal of the American College of Radiology, American Journal of Roentgenology, Journal of Voice, Clinical Radiology and Journal of Pediatric Surgery.
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.