Rafe McBeth
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Radiation top 5%
- Advanced Radiotherapy Techniques
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 4
- Medical Imaging Techniques and Applications 3
-
- Advanced Radiotherapy Techniques 7
- Co-authors
- Dan Nguyen (8 shared papers)Steve Jiang (7 shared papers)Xun Jia (2 shared papers)Chenyang Shen (2 shared papers)Azar Sadeghnejad Barkousaraie (3 shared papers)Thomas B. Borak (3 shared papers)Lawrence W. Townsend (3 shared papers)L. Heilbronn (3 shared papers)
- Journals
- Computers in Biology and Medicine (2 papers)Medical Physics (2 papers)Life Sciences in Space Research (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Journal of Clinical Medicine (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Rafe McBeth
15 papers receiving 267 citations
Peers
Comparison fields: 5 of 66
- Health Informatics 31
- Radiation 159
- Radiology, Nuclear Medicine and Imaging 136
- Pulmonary and Respiratory Medicine 112
- Otorhinolaryngology 7
Countries citing papers authored by Rafe McBeth
This map shows the geographic impact of Rafe McBeth'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 Rafe McBeth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafe McBeth more than expected).
Fields of papers citing papers by Rafe McBeth
This network shows the impact of papers produced by Rafe McBeth. 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 Rafe McBeth. The network helps show where Rafe McBeth may publish in the future.
Co-authors
The 25 scholars most cited alongside Rafe McBeth, 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 | 66 | |
| 2 | 2019 | 55 | |
| 3 | 2021 | 35 | |
| 4 | 2015 | 32 | |
| 5 | 2021 | 19 | |
| 6 | 2014 | 19 | |
| 7 | 2023 | 9 | |
| 8 | 2025 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2020 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2014 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 |
About Rafe McBeth
Rafe McBeth is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Artificial Intelligence, Health Informatics and Biomedical Engineering, having authored 17 papers that have together received 271 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (7 papers), Artificial Intelligence in Healthcare and Education (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (3 papers), Radiation Therapy and Dosimetry (3 papers), Advanced X-ray and CT Imaging (2 papers), AI in cancer detection (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Health Informatics (31 citations), Radiation (159 citations), Radiology, Nuclear Medicine and Imaging (136 citations), Pulmonary and Respiratory Medicine (112 citations) and Otorhinolaryngology (7 citations). Rafe McBeth has collaborated with scholars based in United States and Canada. Frequent co-authors include Dan Nguyen, Steve Jiang, Xun Jia, Chenyang Shen, Azar Sadeghnejad Barkousaraie, Thomas B. Borak, Lawrence W. Townsend, L. Heilbronn, Mu‐Han Lin and Anjali Balagopal. Their work appears in journals such as Computers in Biology and Medicine, Medical Physics, Life Sciences in Space Research, International Journal of Radiation Oncology*Biology*Physics and Journal of Clinical Medicine.
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.