Brian E. Chapman
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Advanced MRI Techniques and Applications 11
- Radiology practices and education 5
- Radiomics and Machine Learning in Medical Imaging 3
-
- Medical Image Segmentation Techniques 18
- Co-authors
- Wendy W. Chapman (13 shared papers)Dennis L. Parker (17 shared papers)Nathaniel Moradzadeh (2 shared papers)Matthew P. Lungren (2 shared papers)Curtis P. Langlotz (2 shared papers)Timothy J. Amrhein (2 shared papers)Hyunseok Peter Kang (1 shared paper)Peter John Haug (2 shared papers)
- Journals
- Journal of Biomedical Informatics (5 papers)Journal of Magnetic Resonance Imaging (5 papers)Academic Radiology (3 papers)Magnetic Resonance in Medicine (3 papers)Artificial Intelligence in Medicine (2 papers)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Brian E. Chapman
56 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 119
- Health Informatics 132
- Health Information Management 131
- Artificial Intelligence 512
- Radiology, Nuclear Medicine and Imaging 306
- Computer Vision and Pattern Recognition 310
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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 218 | |
| 2 | 2017 | 173 | |
| 3 | 2003 | 127 | |
| 4 | 2011 | 112 | |
| 5 | 2011 | 109 | |
| 6 | 2001 | 89 | |
| 7 | Extending the NegEx lexicon for multiple languages. | 2013 | 66 |
| 8 | 2004 | 52 | |
| 9 | 1998 | 49 | |
| 10 | 2003 | 46 | |
| 11 | 2003 | 40 | |
| 12 | 2010 | 36 | |
| 13 | 2016 | 35 | |
| 14 | 2018 | 34 | |
| 15 | 2004 | 31 | |
| 16 | 2005 | 29 | |
| 17 | 2000 | 23 | |
| 18 | 2005 | 23 | |
| 19 | 2019 | 22 | |
| 20 | 2004 | 20 |
About Brian E. Chapman
Brian E. Chapman is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Health Informatics and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Biomedical Text Mining and Ontologies (11 papers), Advanced MRI Techniques and Applications (11 papers), Machine Learning in Healthcare (8 papers), Radiology practices and education (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). The work is most often cited by research in Health Informatics (132 citations), Health Information Management (131 citations), Artificial Intelligence (512 citations), Radiology, Nuclear Medicine and Imaging (306 citations) and Computer Vision and Pattern Recognition (310 citations). Brian E. Chapman has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Wendy W. Chapman, Dennis L. Parker, Nathaniel Moradzadeh, Matthew P. Lungren, Curtis P. Langlotz, Timothy J. Amrhein, Hyunseok Peter Kang, Peter John Haug, Danielle L. Mowery and Andrew L. Alexander. Their work appears in journals such as Journal of Biomedical Informatics, Journal of Magnetic Resonance Imaging, Academic Radiology, Magnetic Resonance in Medicine and Artificial Intelligence in 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.