Keith Dreyer
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
- COVID-19 diagnosis using AI
Papers in
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- Artificial Intelligence in Healthcare and Education 4
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- Radiomics and Machine Learning in Medical Imaging 4
- Radiology practices and education 2
- Co-authors
- Curtis P. Langlotz (2 shared papers)John J. Smith (1 shared paper)Wiro J. Niessen (1 shared paper)Michael P. Recht (1 shared paper)Barbara Prainsack (1 shared paper)Marc Dewey (1 shared paper)Bibb Allen (3 shared papers)Judy Burleson (1 shared paper)
- Journals
- Journal of the American College of Radiology (3 papers)European Radiology (1 paper)American Journal of Roentgenology (1 paper)PubMed (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Keith Dreyer
6 papers receiving 269 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 158
- Radiology, Nuclear Medicine and Imaging 169
- Health Information Management 14
- Family Practice 6
- Artificial Intelligence 75
Countries citing papers authored by Keith Dreyer
This map shows the geographic impact of Keith Dreyer'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 Keith Dreyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Dreyer more than expected).
Fields of papers citing papers by Keith Dreyer
This network shows the impact of papers produced by Keith Dreyer. 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 Keith Dreyer. The network helps show where Keith Dreyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Dreyer, 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 | 2020 | 161 | |
| 2 | 2019 | 77 | |
| 3 | 2019 | 22 | |
| 4 | 2018 | 9 | |
| 5 | 2015 | 3 | |
| 6 | Road to voice recognition includes planning, training. | 1999 | 3 |
About Keith Dreyer
Keith Dreyer is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Health and Oncology, having authored 6 papers that have together received 275 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Radiology practices and education (2 papers), Global Cancer Incidence and Screening (1 paper), Health disparities and outcomes (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Medical Imaging and Analysis (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Health Informatics (158 citations), Radiology, Nuclear Medicine and Imaging (169 citations), Health Information Management (14 citations), Family Practice (6 citations) and Artificial Intelligence (75 citations). Keith Dreyer has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Curtis P. Langlotz, John J. Smith, Wiro J. Niessen, Michael P. Recht, Barbara Prainsack, Marc Dewey, Bibb Allen, Judy Burleson, Danica Marinac‐Dabic and Tarik K. Alkasab. Their work appears in journals such as Journal of the American College of Radiology, European Radiology, American Journal of Roentgenology and PubMed.
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.