Kevin Faust
Impact in
- Health Informatics top 0.5%
- 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 8
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- Radiomics and Machine Learning in Medical Imaging 6
- 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)Clare Fiala (2 shared papers)Trevor J. Pugh (1 shared paper)
- Journals
- Journal of Clinical Pathology (1 paper)Critical Reviews in Clinical Laboratory Sciences (1 paper)npj Digital Medicine (1 paper)JCO Clinical Cancer Informatics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- CanadaUnited StatesSaudi Arabia
In The Last Decade
Kevin Faust
11 papers receiving 376 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 149
- Radiology, Nuclear Medicine and Imaging 164
- Family Practice 12
- Health Information Management 25
- Biophysics 31
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 | 185 | |
| 2 | 2018 | 46 | |
| 3 | 2019 | 37 | |
| 4 | 2019 | 31 | |
| 5 | 2020 | 30 | |
| 6 | 2020 | 21 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 0 |
About Kevin Faust
Kevin Faust is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biophysics and Cancer Research, having authored 12 papers that have together received 380 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cell Image Analysis Techniques (4 papers), Digital Imaging for Blood Diseases (4 papers), Cancer Genomics and Diagnostics (3 papers), MicroRNA in disease regulation (1 paper), Autopsy Techniques and Outcomes (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (149 citations), Radiology, Nuclear Medicine and Imaging (164 citations), Family Practice (12 citations), Health Information Management (25 citations) and Biophysics (31 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, Clare Fiala, Trevor J. Pugh, Sangeetha Kalimuthu and Andrew Evans. Their work appears in journals such as Journal of Clinical Pathology, Critical Reviews in Clinical Laboratory Sciences, npj Digital Medicine, JCO Clinical Cancer Informatics and BMC Bioinformatics.
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.