Brett Byram

2.1k total citations
121 papers, 1.5k citations indexed

About

Brett Byram is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Brett Byram has authored 121 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Radiology, Nuclear Medicine and Imaging, 85 papers in Biomedical Engineering and 55 papers in Mechanics of Materials. Recurrent topics in Brett Byram's work include Ultrasound Imaging and Elastography (106 papers), Photoacoustic and Ultrasonic Imaging (58 papers) and Ultrasonics and Acoustic Wave Propagation (52 papers). Brett Byram is often cited by papers focused on Ultrasound Imaging and Elastography (106 papers), Photoacoustic and Ultrasonic Imaging (58 papers) and Ultrasonics and Acoustic Wave Propagation (52 papers). Brett Byram collaborates with scholars based in United States, Netherlands and Denmark. Brett Byram's co-authors include Gregg E. Trahey, Jeremy Dahl, Adam Luchies, Muyinatu A. Lediju, Mark L. Palmeri, Douglas M. Dumont, Marko Jakovljevic, Nick Bottenus, Ned C. Rouze and M. Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Biomechanics.

In The Last Decade

Brett Byram

111 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brett Byram United States 18 1.3k 1.1k 722 77 69 121 1.5k
Jesse T. Yen United States 18 811 0.6× 654 0.6× 472 0.7× 53 0.7× 36 0.5× 86 1.0k
Svetoslav Ivanov Nikolov Denmark 22 1.9k 1.4× 1.4k 1.2× 1.2k 1.7× 93 1.2× 154 2.2× 68 2.2k
Ole Marius Hoel Rindal Norway 15 646 0.5× 561 0.5× 397 0.5× 61 0.8× 30 0.4× 39 866
Alessandro Ramalli Italy 22 1.5k 1.1× 1.1k 1.0× 830 1.1× 50 0.6× 243 3.5× 159 1.8k
Alfonso Rodríguez-Molares Norway 14 743 0.6× 670 0.6× 452 0.6× 66 0.9× 59 0.9× 45 1.0k
François Varray France 16 735 0.5× 706 0.6× 480 0.7× 31 0.4× 52 0.8× 93 990
Borislav Gueorguiev Tomov Denmark 17 811 0.6× 548 0.5× 465 0.6× 45 0.6× 47 0.7× 79 1.1k
Stephen W. Flax United States 10 839 0.6× 700 0.6× 536 0.7× 108 1.4× 34 0.5× 22 1.1k
Sevan Harput United Kingdom 18 906 0.7× 1.0k 0.9× 295 0.4× 34 0.4× 22 0.3× 104 1.3k
K.L. Gammelmark Denmark 12 1.1k 0.8× 885 0.8× 784 1.1× 38 0.5× 43 0.6× 21 1.3k

Countries citing papers authored by Brett Byram

Since Specialization
Citations

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

Fields of papers citing papers by Brett Byram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brett Byram

This figure shows the co-authorship network connecting the top 25 collaborators of Brett Byram. A scholar is included among the top collaborators of Brett Byram 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 Brett Byram. Brett Byram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Byram, Brett, et al.. (2024). A Generalized SNR to Quantify Lesion Detectability for Modern Adaptive beamformers. 1–4. 1 indexed citations
2.
Liu, Han, Dewei Hu, Ange Lou, et al.. (2024). FNPC-SAM: uncertainty-guided false negative/positive control for SAM on noisy medical images. PubMed. 12926. 1–1. 1 indexed citations
3.
4.
Walsh, Kristy M., et al.. (2024). mTG-Gelatin phantoms as standardized testbeds for skin biomechanical measurements with Myoton. Journal of the mechanical behavior of biomedical materials. 158. 106651–106651. 1 indexed citations
5.
Morgan, Victoria L., et al.. (2024). Reliable Transcranial Functional Ultrasound in an Adult Cohort (N=13). 1–4.
6.
Wilson, Stephen J., et al.. (2023). Contrast-Free Transcranial Functional Ultrasound Neuroimaging. 20. 1–4. 3 indexed citations
7.
Hsi, Ryan S., et al.. (2023). Enhancing sizing accuracy in ultrasound images with an alternative ADMIRE model and dynamic range considerations. Ultrasonics. 131. 106952–106952. 1 indexed citations
8.
Byram, Brett, et al.. (2020). GENRE (GPU Elastic-Net REgression): A CUDA-Accelerated Package for Massively Parallel Linear Regression with Elastic-Net Regularization. The Journal of Open Source Software. 5(54). 2644–2644. 4 indexed citations
9.
Luchies, Adam & Brett Byram. (2019). Training improvements for ultrasound beamforming with deep neural networks. Physics in Medicine and Biology. 64(4). 45018–45018. 16 indexed citations
10.
Jones, Rebecca, et al.. (2018). In vitro feasibility of next generation non-linear beamforming ultrasound methods to characterize and size kidney stones. Urolithiasis. 47(2). 181–188. 13 indexed citations
11.
Hsi, Ryan S., et al.. (2018). Feasibility of non-linear beamforming ultrasound methods to characterize and size kidney stones. PLoS ONE. 13(8). e0203138–e0203138. 3 indexed citations
12.
Byram, Brett, et al.. (2018). A Robust Method for Ultrasound Beamforming in the Presence of Off-Axis Clutter and Sound Speed Variation. Ultrasonics. 89. 34–45. 16 indexed citations
13.
Dumont, Douglas M., et al.. (2016). Perfusion imaging with non-contrast ultrasound. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9790. 979002–979002. 3 indexed citations
14.
Dumont, Douglas M., Kristy M. Walsh, & Brett Byram. (2016). Improving Displacement Signal-to-Noise Ratio for Low-Signal Radiation Force Elasticity Imaging Using Bayesian Techniques. Ultrasound in Medicine & Biology. 42(8). 1986–1997. 11 indexed citations
15.
Fredi, Joseph L., Michael N. Young, Douglas M. Dumont, et al.. (2015). Quantitative Imaging Assessment of an Alternative Approach to Surgical Mitral Valve Leaflet Resection: An Acute Porcine Study. Annals of Biomedical Engineering. 44(7). 2240–2250. 1 indexed citations
16.
Wang, M., Brett Byram, Mark L. Palmeri, Ned C. Rouze, & Kathryn R. Nightingale. (2013). Imaging Transverse Isotropic Properties of Muscle by Monitoring Acoustic Radiation Force Induced Shear Waves Using a 2-D Matrix Ultrasound Array. IEEE Transactions on Medical Imaging. 32(9). 1671–1684. 90 indexed citations
17.
Bell, Muyinatu A. Lediju, Brett Byram, Emma Harris, Philip Evans, & Jeffrey C. Bamber. (2012). In vivoliver tracking with a high volume rate 4D ultrasound scanner and a 2D matrix array probe. Physics in Medicine and Biology. 57(5). 1359–1374. 48 indexed citations
18.
Byram, Brett, Gregg E. Trahey, & Mark L. Palmeri. (2012). Bayesian speckle tracking. Part II: biased ultrasound displacement estimation. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 60(1). 144–157. 31 indexed citations
19.
Byram, Brett, et al.. (2010). 3-D phantom and in vivo cardiac speckle tracking using a matrix array and raw echo data. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 57(4). 839–854. 17 indexed citations
20.
Lediju, Muyinatu A., Brett Byram, & Gregg E. Trahey. (2009). Sources and characterization of clutter in cardiac B-mode images. 1419–1422. 14 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.

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