B. Cavanaugh

1.1k citations
13 papers · 828 · 1 hit paper · h-index 8

Impact in

Papers in

B. Cavanaugh

13 papers receiving 819 citations

B. Cavanaugh's Hit Papers

Shear-wave Elastography Improves the Specificity of Breast US: The BE1 Multinational Study of 939 Masses 2012 · 646 citations
6460+4+9Years since publication200400600

Peers

B. Cavanaugh
Comparison fields: 5 of 57
  • Radiology, Nuclear Medicine and Imaging 573
  • Health Informatics 8
  • Biomedical Engineering 263
  • Mechanics of Materials 120
  • Pathology and Forensic Medicine 74
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Bing Ou China
Katrin Brauer United Kingdom
Katarzyna Dobruch‐Sobczak Poland
Hye Mi Gweon South Korea
Colleen H. Neal United States
Christophe Tourasse France
Yu‐Mee Sohn South Korea
Yuxin Jiang China
Kim Thomson United Kingdom
Dana H. Whaley United States
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by B. Cavanaugh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with B. Cavanaugh Line = papers co-authored together B. Cavanaugh links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Shear-wave Elastography Improves the Specificity of Breast US: The BE1 Multinational Study of 939 Masses
Hit paper breakdown →
2012646
2 201069
3 201332
4 201225
5 201414
6 201011
7 201810
8 201810
9 19854
10 20134
11 20131
12 20131
13 20111

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 828 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 (573 citations), Health Informatics (8 citations), Biomedical Engineering (263 citations), Mechanics of Materials (120 citations) and Pathology and Forensic Medicine (74 citations). B. Cavanaugh has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Ellen B. Mendelson, David O. Cosgrove, A. Thomas Stavros, Martina Locatelli, Ralf Ohlinger, J Gay, Claude Cohen‐Bacrie, Caroline J Doré, V. Juhan and C. Balu–Maestro. Their work appears in journals such as Ultrasound in Medicine & Biology, Journal of Ultrasound in Medicine, American Journal of Roentgenology, Radiology and Journal of Nuclear 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.

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