Brandon Edwards
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- AI in cancer detection
- Cryptography and Data Security
- Machine Learning in Healthcare
Papers in
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- Artificial Intelligence in Healthcare and Education 6
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- Radiomics and Machine Learning in Medical Imaging 4
- COVID-19 diagnosis using AI 1
- Co-authors
- Spyridon Bakas (8 shared papers)Micah Sheller (7 shared papers)Jason Martin (6 shared papers)G. Anthony Reina (4 shared papers)Sarthak Pati (5 shared papers)Daniel C. Marcus (1 shared paper)Rivka R. Colen (1 shared paper)Mikhail V. Milchenko (1 shared paper)
- Journals
- Physics in Medicine and Biology (2 papers)Neuro-Oncology (2 papers)Patterns (2 papers)Scientific Reports (1 paper)Geometriae Dedicata (1 paper)
- Partner nations
- United StatesUnited KingdomHong Kong
In The Last Decade
Brandon Edwards
10 papers receiving 1.5k citations
Brandon Edwards's Hit Papers
Peers
Comparison fields: 5 of 105
- Health Informatics 229
- Artificial Intelligence 919
- Radiology, Nuclear Medicine and Imaging 380
- Neurology 91
- Health Information Management 43
Countries citing papers authored by Brandon Edwards
This map shows the geographic impact of Brandon Edwards'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 Brandon Edwards with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon Edwards more than expected).
Fields of papers citing papers by Brandon Edwards
This network shows the impact of papers produced by Brandon Edwards. 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 Brandon Edwards. The network helps show where Brandon Edwards may publish in the future.
Co-authors
The 25 scholars most cited alongside Brandon Edwards, 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 | Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data Hit paper breakdown → | 2020 | 960 |
| 2 | 2019 | 365 | |
| 3 | 2024 | 78 | |
| 4 | 2022 | 77 | |
| 5 | 2022 | 21 | |
| 6 | 2021 | 11 | |
| 7 | 2009 | 10 | |
| 8 | 2019 | 6 | |
| 9 | 2021 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2022 | 0 |
About Brandon Edwards
Brandon Edwards is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Genetics and Cancer Research, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Artificial Intelligence in Healthcare and Education (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer Genomics and Diagnostics (2 papers), Cryptography and Data Security (2 papers), Glioma Diagnosis and Treatment (2 papers), Data Mining Algorithms and Applications (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Health Informatics (229 citations), Artificial Intelligence (919 citations), Radiology, Nuclear Medicine and Imaging (380 citations), Neurology (91 citations) and Health Information Management (43 citations). Brandon Edwards has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Spyridon Bakas, Micah Sheller, Jason Martin, G. Anthony Reina, Sarthak Pati, Daniel C. Marcus, Rivka R. Colen, Mikhail V. Milchenko, Weilin Xu and Aikaterini Kotrotsou. Their work appears in journals such as Physics in Medicine and Biology, Neuro-Oncology, Patterns, Scientific Reports and Geometriae Dedicata.
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.