B. Cavanaugh
Impact in
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- Ultrasound Imaging and Elastography
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- AI in cancer detection 5
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- Radiomics and Machine Learning in Medical Imaging 3
- Ultrasound Imaging and Elastography 2
- MRI in cancer diagnosis 1
- Co-authors
- A. Tardivon (1 shared paper)Martina Locatelli (1 shared paper)C. Balu–Maestro (1 shared paper)J Gay (1 shared paper)Ellen B. Mendelson (1 shared paper)David O. Cosgrove (1 shared paper)A. Thomas Stavros (1 shared paper)F. Schäfer (1 shared paper)
- Journals
- Ultrasound in Medicine & Biology (6 papers)Journal of Ultrasound in Medicine (2 papers)American Journal of Roentgenology (1 paper)Journal of Nuclear Medicine (1 paper)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
B. Cavanaugh
13 papers receiving 848 citations
B. Cavanaugh's Hit Papers
Peers
Comparison fields: 5 of 58
- Radiology, Nuclear Medicine and Imaging 602
- Health Informatics 10
- Biomedical Engineering 275
- Pathology and Forensic Medicine 82
- Mechanics of Materials 122
Countries citing papers authored by B. Cavanaugh
This map shows the geographic impact of B. Cavanaugh'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 B. Cavanaugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Cavanaugh more than expected).
Fields of papers citing papers by B. Cavanaugh
This network shows the impact of papers produced by B. Cavanaugh. 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 B. Cavanaugh. The network helps show where B. Cavanaugh may publish in the future.
Co-authors
The 25 scholars most cited alongside B. Cavanaugh, 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 | Shear-wave Elastography Improves the Specificity of Breast US: The BE1 Multinational Study of 939 Masses Hit paper breakdown → | 2012 | 671 |
| 2 | 2010 | 78 | |
| 3 | 2013 | 32 | |
| 4 | 2012 | 25 | |
| 5 | 2014 | 14 | |
| 6 | 2010 | 13 | |
| 7 | 2018 | 10 | |
| 8 | 2018 | 10 | |
| 9 | 1985 | 4 | |
| 10 | 2013 | 4 | |
| 11 | 2013 | 1 | |
| 12 | 2013 | 1 | |
| 13 | 2011 | 1 |
About B. Cavanaugh
B. Cavanaugh is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Dermatology, having authored 13 papers that have together received 864 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Ultrasound Imaging and Elastography (2 papers), Breast Lesions and Carcinomas (2 papers), Digital Radiography and Breast Imaging (2 papers), Urologic and reproductive health conditions (1 paper), Ultrasound and Hyperthermia Applications (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (602 citations), Health Informatics (10 citations), Biomedical Engineering (275 citations), Pathology and Forensic Medicine (82 citations) and Mechanics of Materials (122 citations). B. Cavanaugh has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include A. Tardivon, Martina Locatelli, C. Balu–Maestro, J Gay, Ellen B. Mendelson, David O. Cosgrove, A. Thomas Stavros, F. Schäfer, Caroline J Doré and Claude Cohen‐Bacrie. Their work appears in journals such as Ultrasound in Medicine & Biology, Journal of Ultrasound in Medicine, American Journal of Roentgenology, Journal of Nuclear Medicine and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.
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.