Christopher Beaulieu

1.5k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Christopher Beaulieu is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Christopher Beaulieu has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Surgery and 3 papers in Biomedical Engineering. Recurrent topics in Christopher Beaulieu's work include Advanced MRI Techniques and Applications (5 papers), Cardiac Imaging and Diagnostics (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). Christopher Beaulieu is often cited by papers focused on Advanced MRI Techniques and Applications (5 papers), Cardiac Imaging and Diagnostics (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). Christopher Beaulieu collaborates with scholars based in United States and Canada. Christopher Beaulieu's co-authors include Garry E. Gold, Jean H. Brittain, Graham A. Wright, Eric Han, Jeff A Stainsby, Ann Shimakawa, Huanzhou Yu, Scott B. Reeder, Norbert J. Pelc and Angel R. Pineda and has published in prestigious journals such as Magnetic Resonance in Medicine, American Journal of Roentgenology and Skeletal Radiology.

In The Last Decade

Christopher Beaulieu

8 papers receiving 1.2k citations

Hit Papers

Iterative decomposition of water and fat with echo asymme... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher Beaulieu United States 7 771 232 187 145 143 8 1.2k
Philip J. Beatty United States 11 573 0.7× 244 1.1× 104 0.6× 217 1.5× 100 0.7× 13 940
Simon Vinitski United States 24 874 1.1× 305 1.3× 135 0.7× 216 1.5× 111 0.8× 77 1.6k
Jeff A Stainsby Canada 12 756 1.0× 133 0.6× 102 0.5× 66 0.5× 78 0.5× 21 1.0k
Ding Xia United States 20 509 0.7× 158 0.7× 132 0.7× 143 1.0× 122 0.9× 49 938
Zhifei Wen United States 18 1.5k 1.9× 167 0.7× 275 1.5× 233 1.6× 77 0.5× 54 2.1k
Jens Theysohn Germany 24 813 1.1× 522 2.3× 221 1.2× 324 2.2× 91 0.6× 115 1.8k
Izumi Anno Japan 21 389 0.5× 225 1.0× 199 1.1× 98 0.7× 258 1.8× 82 1.3k
Fulvio Zaccagna Italy 22 824 1.1× 234 1.0× 258 1.4× 153 1.1× 36 0.3× 83 1.6k
Susanne C. Ladd Germany 22 684 0.9× 251 1.1× 219 1.2× 107 0.7× 38 0.3× 37 1.3k
Anja Brau United States 20 1.5k 1.9× 457 2.0× 368 2.0× 366 2.5× 156 1.1× 37 2.2k

Countries citing papers authored by Christopher Beaulieu

Since Specialization
Citations

This map shows the geographic impact of Christopher Beaulieu'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 Beaulieu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Beaulieu more than expected).

Fields of papers citing papers by Christopher Beaulieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Beaulieu. 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 Beaulieu. The network helps show where Christopher Beaulieu may publish in the future.

Co-authorship network of co-authors of Christopher Beaulieu

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Beaulieu. A scholar is included among the top collaborators of Christopher Beaulieu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher Beaulieu. Christopher Beaulieu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Varma, Maya, Jared Dunnmon, Nishith Khandwala, et al.. (2019). Automated abnormality detection in lower extremity radiographs using deep learning. Nature Machine Intelligence. 1(12). 578–583. 49 indexed citations
2.
Wood, Jeffrey & Christopher Beaulieu. (2017). Musculotendinous Injuries: Sonographic-guided Interventions. Seminars in Musculoskeletal Radiology. 21(4). 470–484. 2 indexed citations
3.
Stevens, Kathryn J., et al.. (2017). Accelerated three‐dimensional multispectral MRI with robust principal component analysis for separation of on‐ and off‐resonance signals. Magnetic Resonance in Medicine. 79(3). 1495–1505. 7 indexed citations
4.
Bishop, Julius A., Allison J. Rao, Michael A. Pouliot, Christopher Beaulieu, & Michael J. Bellino. (2015). Conventional versus virtual radiographs of the injured pelvis and acetabulum. Skeletal Radiology. 44(9). 1303–1308. 7 indexed citations
5.
Reeder, Scott B., et al.. (2006). Iterative Decomposition of Water and Fat with Echo Asymmetry and Least-Squares Estimation (IDEAL) Fast Spin-Echo Imaging of the Ankle: Initial Clinical Experience. American Journal of Roentgenology. 187(6). 1442–1447. 36 indexed citations
6.
Reeder, Scott B., Angel R. Pineda, Zhifei Wen, et al.. (2005). Iterative decomposition of water and fat with echo asymmetry and least‐squares estimation (IDEAL): Application with fast spin‐echo imaging. Magnetic Resonance in Medicine. 54(3). 636–644. 574 indexed citations breakdown →
7.
Gold, Garry E., et al.. (2004). Musculoskeletal MRI at 3.0 T: Initial Clinical Experience. American Journal of Roentgenology. 183(5). 1479–1486. 93 indexed citations
8.
Gold, Garry E., Eric Han, Jeff A Stainsby, et al.. (2004). Musculoskeletal MRI at 3.0 T: Relaxation Times and Image Contrast. American Journal of Roentgenology. 183(2). 343–351. 435 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026