Brian E. Chapman
Impact in
- Health Informatics top 2%
-
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- COVID-19 diagnosis using AI
Papers in
-
- Advanced MRI Techniques and Applications 14
- MRI in cancer diagnosis 6
- Radiology practices and education 6
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- Cerebrovascular and Carotid Artery Diseases 10
- Lung Cancer Diagnosis and Treatment 4
- Co-authors
- Wendy W. Chapman (14 shared papers)Dennis L. Parker (17 shared papers)Matthew P. Lungren (2 shared papers)Timothy J. Amrhein (2 shared papers)Curtis P. Langlotz (2 shared papers)N Moradzadeh (2 shared papers)Sean Lee (1 shared paper)Hyunseok P. Kang (1 shared paper)
- Journals
- Journal of Magnetic Resonance Imaging (5 papers)Journal of Biomedical Informatics (4 papers)Academic Radiology (3 papers)Magnetic Resonance in Medicine (3 papers)Radiology (2 papers)
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
Brian E. Chapman
59 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 141
- Health Informatics 69
- Radiology, Nuclear Medicine and Imaging 465
- Internal Medicine 52
- Health Information Management 74
- Artificial Intelligence 462
Countries citing papers authored by Brian E. Chapman
This map shows the geographic impact of Brian E. Chapman'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 Brian E. Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E. Chapman more than expected).
Fields of papers citing papers by Brian E. Chapman
This network shows the impact of papers produced by Brian E. Chapman. 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 Brian E. Chapman. The network helps show where Brian E. Chapman may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian E. Chapman, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 206 | |
| 2 | 2017 | 162 | |
| 3 | 2003 | 126 | |
| 4 | 2011 | 108 | |
| 5 | 2011 | 107 | |
| 6 | 2001 | 88 | |
| 7 | Extending the NegEx lexicon for multiple languages. | 2013 | 64 |
| 8 | 2004 | 55 | |
| 9 | 1998 | 52 | |
| 10 | 2003 | 46 | |
| 11 | 2003 | 41 | |
| 12 | 2010 | 38 | |
| 13 | 2016 | 35 | |
| 14 | 2004 | 33 | |
| 15 | 2018 | 32 | |
| 16 | 2005 | 29 | |
| 17 | 2000 | 24 | |
| 18 | 2019 | 21 | |
| 19 | 2005 | 21 | |
| 20 | 2004 | 20 |
About Brian E. Chapman
Brian E. Chapman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (14 papers), Medical Image Segmentation Techniques (11 papers), Cerebrovascular and Carotid Artery Diseases (10 papers), Biomedical Text Mining and Ontologies (8 papers), MRI in cancer diagnosis (6 papers), Radiology practices and education (6 papers), Topic Modeling (5 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Health Informatics (69 citations), Radiology, Nuclear Medicine and Imaging (465 citations), Internal Medicine (52 citations), Health Information Management (74 citations) and Artificial Intelligence (462 citations). Brian E. Chapman has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Wendy W. Chapman, Dennis L. Parker, Matthew P. Lungren, Timothy J. Amrhein, Curtis P. Langlotz, N Moradzadeh, Sean Lee, Hyunseok P. Kang, Peter J. Haug and Andrew L. Alexander. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Journal of Biomedical Informatics, Academic Radiology, Magnetic Resonance in Medicine and Radiology.
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.