Davis Foote
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- AI in cancer detection
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
Papers in
-
- Reinforcement Learning in Robotics 1
- AI in cancer detection 1
- Adversarial Robustness in Machine Learning 1
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- Autonomous Vehicle Technology and Safety 1
- Co-authors
- Niels Olson (1 shared paper)Mahul B. Amin (1 shared paper)Ankur R. Sangoi (1 shared paper)Craig H. Mermel (1 shared paper)Martin C. Stumpe (1 shared paper)Andrew Evans (1 shared paper)Kunal Nagpal (1 shared paper)Ellery Wulczyn (1 shared paper)
- Journals
- npj Digital Medicine (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Davis Foote
2 papers receiving 442 citations
Davis Foote's Hit Papers
Peers
Comparison fields: 5 of 65
- Health Informatics 52
- Artificial Intelligence 317
- Radiology, Nuclear Medicine and Imaging 155
- Biophysics 24
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by Davis Foote
This map shows the geographic impact of Davis Foote'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 Davis Foote with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davis Foote more than expected).
Fields of papers citing papers by Davis Foote
This network shows the impact of papers produced by Davis Foote. 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 Davis Foote. The network helps show where Davis Foote may publish in the future.
Co-authors
The 25 scholars most cited alongside Davis Foote, 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 | Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer Hit paper breakdown → | 2019 | 333 |
| 2 | 2016 | 130 |
About Davis Foote
Davis Foote is a scholar working on Artificial Intelligence, Automotive Engineering, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 2 papers that have together received 463 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (1 paper), Reinforcement Learning in Robotics (1 paper), AI in cancer detection (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Health Informatics (52 citations), Artificial Intelligence (317 citations), Radiology, Nuclear Medicine and Imaging (155 citations), Biophysics (24 citations) and Computer Vision and Pattern Recognition (67 citations). Davis Foote has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Niels Olson, Mahul B. Amin, Ankur R. Sangoi, Craig H. Mermel, Martin C. Stumpe, Andrew Evans, Kunal Nagpal, Ellery Wulczyn, Jason Hipp and Yun Liu. Their work appears in journals such as npj Digital Medicine and arXiv (Cornell University).
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.