Kevin Faust
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- AI in cancer detection 7
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- Radiomics and Machine Learning in Medical Imaging 4
- Autopsy Techniques and Outcomes 1
- Co-authors
- Phedias Diamandis (12 shared papers)Ugljesa Djuric (7 shared papers)Randy Van Ommeren (3 shared papers)Anglin Dent (4 shared papers)Maxime Richer (1 shared paper)Zoya Volynskaya (1 shared paper)Alberto J. León (2 shared papers)Clare Fiala (2 shared papers)
- Journals
- Critical Reviews in Clinical Laboratory Sciences (1 paper)JCO Clinical Cancer Informatics (1 paper)Journal of Clinical Pathology (1 paper)Genes Chromosomes and Cancer (1 paper)Surgical pathology clinics (1 paper)
- Partner nations
- CanadaUnited StatesSaudi Arabia
In The Last Decade
Kevin Faust
12 papers receiving 417 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 146
- Radiology, Nuclear Medicine and Imaging 119
- Biophysics 27
- Artificial Intelligence 149
- Family Practice 6
Countries citing papers authored by Kevin Faust
This map shows the geographic impact of Kevin Faust'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 Kevin Faust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Faust more than expected).
Fields of papers citing papers by Kevin Faust
This network shows the impact of papers produced by Kevin Faust. 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 Kevin Faust. The network helps show where Kevin Faust may publish in the future.
Co-authors
The 15 scholars most cited alongside Kevin Faust, 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 | 2019 | 205 | |
| 2 | 2018 | 51 | |
| 3 | 2019 | 40 | |
| 4 | 2019 | 34 | |
| 5 | 2020 | 33 | |
| 6 | 2020 | 23 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2025 | 1 |
About Kevin Faust
Kevin Faust is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cancer Research, Molecular Biology and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 425 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer Genomics and Diagnostics (2 papers), Digital Imaging for Blood Diseases (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Ferroptosis and cancer prognosis (1 paper), Autopsy Techniques and Outcomes (1 paper) and Mathematical Biology Tumor Growth (1 paper). The work is most often cited by research in Health Informatics (146 citations), Radiology, Nuclear Medicine and Imaging (119 citations), Biophysics (27 citations), Artificial Intelligence (149 citations) and Family Practice (6 citations). Kevin Faust has collaborated with scholars based in Canada, United States and Saudi Arabia. Frequent co-authors include Phedias Diamandis, Ugljesa Djuric, Randy Van Ommeren, Anglin Dent, Maxime Richer, Zoya Volynskaya, Alberto J. León, Clare Fiala, Sangeetha Kalimuthu and Andrew Evans. Their work appears in journals such as Critical Reviews in Clinical Laboratory Sciences, JCO Clinical Cancer Informatics, Journal of Clinical Pathology, Genes Chromosomes and Cancer and Surgical pathology clinics.
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.