Christopher P. Bridge
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Geriatrics and Gerontology top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 15
- Radiology practices and education 3
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- AI in cancer detection 8
- Co-authors
- J. Alison Noble (4 shared papers)C. Ioannou (2 shared papers)Katherine P. Andriole (9 shared papers)Florian J. Fintelmann (8 shared papers)Kirti Magudia (4 shared papers)Michael H. Rosenthal (6 shared papers)Jayashree Kalpathy–Cramer (9 shared papers)Camden Bay (3 shared papers)
- Journals
- Medical Image Analysis (3 papers)Physics in Medicine and Biology (3 papers)Radiology (3 papers)Journal of Digital Imaging (3 papers)Radiology Artificial Intelligence (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Christopher P. Bridge
43 papers receiving 657 citations
Christopher P. Bridge's Hit Papers
Peers
Comparison fields: 5 of 85
- Health Informatics 54
- Geriatrics and Gerontology 29
- Radiology, Nuclear Medicine and Imaging 151
- Physiology 120
- Neurology 38
Countries citing papers authored by Christopher P. Bridge
This map shows the geographic impact of Christopher P. Bridge'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 Christopher P. Bridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher P. Bridge more than expected).
Fields of papers citing papers by Christopher P. Bridge
This network shows the impact of papers produced by Christopher P. Bridge. 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 Christopher P. Bridge. The network helps show where Christopher P. Bridge may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher P. Bridge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 105 | |
| 2 | 2016 | 46 | |
| 3 | 2022 | 43 | |
| 4 | 2017 | 42 | |
| 5 | 2017 | 38 | |
| 6 | A review of deep learning for brain tumor analysis in MRI Hit paper breakdown → | 2025 | 29 |
| 7 | 2022 | 29 | |
| 8 | 2022 | 27 | |
| 9 | 2020 | 26 | |
| 10 | 2023 | 26 | |
| 11 | 2024 | 25 | |
| 12 | 2020 | 22 | |
| 13 | 2021 | 19 | |
| 14 | 2023 | 17 | |
| 15 | 2023 | 14 | |
| 16 | 2021 | 13 | |
| 17 | 2021 | 12 | |
| 18 | 2021 | 12 | |
| 19 | 2024 | 12 | |
| 20 | 2022 | 12 |
About Christopher P. Bridge
Christopher P. Bridge is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering, Health Informatics and Physiology, having authored 45 papers that have together received 666 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), AI in cancer detection (8 papers), Advanced X-ray and CT Imaging (5 papers), Nutrition and Health in Aging (5 papers), Artificial Intelligence in Healthcare and Education (5 papers), Fetal and Pediatric Neurological Disorders (4 papers), Body Composition Measurement Techniques (3 papers) and Radiology practices and education (3 papers). The work is most often cited by research in Health Informatics (54 citations), Geriatrics and Gerontology (29 citations), Radiology, Nuclear Medicine and Imaging (151 citations), Physiology (120 citations) and Neurology (38 citations). Christopher P. Bridge has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include J. Alison Noble, C. Ioannou, Katherine P. Andriole, Florian J. Fintelmann, Kirti Magudia, Michael H. Rosenthal, Jayashree Kalpathy–Cramer, Camden Bay, Fabian M. Troschel and Vaanathi Sundaresan. Their work appears in journals such as Medical Image Analysis, Physics in Medicine and Biology, Radiology, Journal of Digital Imaging and Radiology Artificial Intelligence.
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.