Mark Cicero
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Autopsy Techniques and Outcomes
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 4
- Autopsy Techniques and Outcomes 1
- COVID-19 diagnosis using AI 1
-
- Artificial Intelligence in Healthcare and Education 3
- Co-authors
- Alexander Bilbily (5 shared papers)Bruce Gray (4 shared papers)Errol Colak (1 shared paper)Joseph Barfett (1 shared paper)Kuhan Perampaladas (1 shared paper)Artem B. Mamonov (1 shared paper)Safwan S. Halabi (1 shared paper)Hans Henrik Thodberg (1 shared paper)
- Journals
- Investigative Radiology (1 paper)Journal of Bone and Mineral Research (1 paper)Radiology (1 paper)Journal of the American College of Radiology (1 paper)Canadian Association of Radiologists Journal (3 papers)
- Partner nations
- CanadaUnited StatesBrazil
In The Last Decade
Mark Cicero
6 papers receiving 686 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 214
- Radiology, Nuclear Medicine and Imaging 330
- Archeology 135
- Oral Surgery 68
- Health Information Management 19
Countries citing papers authored by Mark Cicero
This map shows the geographic impact of Mark 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 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 Cicero more than expected).
Fields of papers citing papers by Mark Cicero
This network shows the impact of papers produced by Mark 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 Cicero. The network helps show where Mark Cicero may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark 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 | 315 | |
| 2 | 2016 | 202 | |
| 3 | 2019 | 143 | |
| 4 | 2023 | 15 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 11 | |
| 7 | 2025 | 0 | |
| 8 | 2023 | 0 |
About Mark Cicero
Mark Cicero is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Orthopedics and Sports Medicine, Biomedical Engineering and Artificial Intelligence, having authored 8 papers that have together received 701 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Bone health and osteoporosis research (3 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper), Autopsy Techniques and Outcomes (1 paper), Advanced X-ray and CT Imaging (1 paper), Body Composition Measurement Techniques (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Health Informatics (214 citations), Radiology, Nuclear Medicine and Imaging (330 citations), Archeology (135 citations), Oral Surgery (68 citations) and Health Information Management (19 citations). Mark Cicero has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Alexander Bilbily, Bruce Gray, Errol Colak, Joseph Barfett, Kuhan Perampaladas, Artem B. Mamonov, Safwan S. Halabi, Hans Henrik Thodberg, Lucas Pereira and Adam E. Flanders. Their work appears in journals such as Investigative Radiology, Journal of Bone and Mineral Research, Radiology, Journal of the American College of Radiology and Canadian Association of Radiologists Journal.
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.