Bryan Clifford
Impact in
-
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Computational Mathematics top 10%
Papers in
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- Advanced MRI Techniques and Applications 35
- Medical Imaging Techniques and Applications 13
- Advanced Neuroimaging Techniques and Applications 11
- MRI in cancer diagnosis 5
- Radiomics and Machine Learning in Medical Imaging 3
- Radiation Dose and Imaging 3
- Journals
- Magnetic Resonance in Medicine (10 papers)American Journal of Neuroradiology (3 papers)IEEE Transactions on Biomedical Engineering (3 papers)Journal of the American College of Radiology (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Bryan Clifford
35 papers receiving 433 citations
Peers
Comparison fields: 5 of 58
- Radiology, Nuclear Medicine and Imaging 378
- Computational Mathematics 9
- Biophysics 38
- Spectroscopy 93
- Nuclear and High Energy Physics 42
Countries citing papers authored by Bryan Clifford
This map shows the geographic impact of Bryan Clifford'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 Bryan Clifford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Clifford more than expected).
Fields of papers citing papers by Bryan Clifford
This network shows the impact of papers produced by Bryan Clifford. 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 Bryan Clifford. The network helps show where Bryan Clifford may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bryan Clifford, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 19 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 0 | |
| 13 | 2024 | 0 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 11 | |
| 17 | 2023 | 2 | |
| 18 | 2021 | 16 | |
| 19 | 2016 | 20 | |
| 20 | 2009 | 8 |
About Bryan Clifford
Bryan Clifford is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Biophysics, Spectroscopy and Instrumentation, having authored 43 papers that have together received 433 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (35 papers), Medical Imaging Techniques and Applications (13 papers), Advanced Neuroimaging Techniques and Applications (11 papers), MRI in cancer diagnosis (5 papers), Advanced NMR Techniques and Applications (5 papers), Atomic and Subatomic Physics Research (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Radiation Dose and Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (378 citations), Computational Mathematics (9 citations), Biophysics (38 citations), Spectroscopy (93 citations) and Nuclear and High Energy Physics (42 citations). Bryan Clifford has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Zhi‐Pei Liang, Fan Lam, Chao Ma, Yudu Li, Curtis L. Johnson, Wei‐Ching Lo, Rong Guo, Stephen Cauley, Yuchi Liu and Xin Yu. Their work appears in journals such as Magnetic Resonance in Medicine, American Journal of Neuroradiology, IEEE Transactions on Biomedical Engineering, Journal of the American College of Radiology and Scientific Reports.
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.