Mark D. Cicero
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Radiology practices and education
Papers in
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- Artificial Intelligence in Healthcare and Education 5
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- Radiomics and Machine Learning in Medical Imaging 5
- Radiology practices and education 2
- Autopsy Techniques and Outcomes 1
- Co-authors
- Alexander Bilbily (6 shared papers)Bruce Gray (4 shared papers)Kuhan Perampaladas (1 shared paper)Tim Dowdell (1 shared paper)Joseph Barfett (1 shared paper)Errol Colak (1 shared paper)Adam Eugene Flanders (1 shared paper)Katherine P. Andriole (1 shared paper)
- Journals
- Journal of the American College of Radiology (1 paper)Radiology (1 paper)Investigative Radiology (1 paper)Journal of Bone and Mineral Research (1 paper)Skeletal Radiology (1 paper)
- Partner nations
- CanadaUnited StatesBrazil
In The Last Decade
Mark D. Cicero
8 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Health Informatics 445
- Radiology, Nuclear Medicine and Imaging 544
- Archeology 149
- Oral Surgery 79
- Health Information Management 34
Countries citing papers authored by Mark D. Cicero
This map shows the geographic impact of Mark D. Cicero'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 Mark D. Cicero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Cicero more than expected).
Fields of papers citing papers by Mark D. Cicero
This network shows the impact of papers produced by Mark D. Cicero. 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 Mark D. Cicero. The network helps show where Mark D. Cicero may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark D. Cicero, 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 | 2018 | 397 | |
| 2 | 2018 | 357 | |
| 3 | 2016 | 208 | |
| 4 | 2019 | 150 | |
| 5 | 2023 | 22 | |
| 6 | 2020 | 19 | |
| 7 | 2020 | 14 | |
| 8 | 2025 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2026 | 0 |
About Mark D. Cicero
Mark D. Cicero is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine, Statistics, Probability and Uncertainty and Archeology, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Bone health and osteoporosis research (3 papers), Radiology practices and education (2 papers), Medical Imaging and Analysis (1 paper), Autopsy Techniques and Outcomes (1 paper), Advanced X-ray and CT Imaging (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Health Informatics (445 citations), Radiology, Nuclear Medicine and Imaging (544 citations), Archeology (149 citations), Oral Surgery (79 citations) and Health Information Management (34 citations). Mark D. Cicero has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Alexander Bilbily, Bruce Gray, Kuhan Perampaladas, Tim Dowdell, Joseph Barfett, Errol Colak, Adam Eugene Flanders, Katherine P. Andriole, Jayashree Kalpathy–Cramer and Marc D. Kohli. Their work appears in journals such as Journal of the American College of Radiology, Radiology, Investigative Radiology, Journal of Bone and Mineral Research 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.