Brett Burton

407 total citations
19 papers, 280 citations indexed

About

Brett Burton is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Brett Burton has authored 19 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Brett Burton's work include Cardiac electrophysiology and arrhythmias (10 papers), Cardiovascular Function and Risk Factors (7 papers) and Cardiac Imaging and Diagnostics (6 papers). Brett Burton is often cited by papers focused on Cardiac electrophysiology and arrhythmias (10 papers), Cardiovascular Function and Risk Factors (7 papers) and Cardiac Imaging and Diagnostics (6 papers). Brett Burton collaborates with scholars based in United States, Netherlands and Austria. Brett Burton's co-authors include Rob MacLeod, Jess Tate, Kedar Aras, Wilson Good, Dana H. Brooks, Brian Zenger, Peter van Dam, Jaume Coll‐Font, Burak Erem and Olaf Doessel and has published in prestigious journals such as Frontiers in Physiology, Annals of Biomedical Engineering and Heart Rhythm.

In The Last Decade

Brett Burton

18 papers receiving 276 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 Burton United States 9 219 80 42 36 26 19 280
Brian Zenger United States 12 331 1.5× 96 1.2× 28 0.7× 52 1.4× 23 0.9× 61 395
Matthijs Cluitmans Netherlands 12 467 2.1× 142 1.8× 70 1.7× 40 1.1× 52 2.0× 48 565
Jake Bergquist United States 9 211 1.0× 58 0.7× 27 0.6× 34 0.9× 26 1.0× 53 267
Danila Potyagaylo Germany 10 271 1.2× 85 1.1× 43 1.0× 17 0.5× 40 1.5× 40 324
Laura Bear France 14 507 2.3× 143 1.8× 92 2.2× 50 1.4× 66 2.5× 55 604
Michael Seger Austria 11 201 0.9× 98 1.2× 56 1.3× 18 0.5× 50 1.9× 43 361
Walther H. W. Schulze Germany 10 273 1.2× 72 0.9× 32 0.8× 43 1.2× 93 3.6× 36 404
Jana Švehlíková Slovakia 9 278 1.3× 82 1.0× 31 0.7× 27 0.8× 31 1.2× 57 321
Subham Ghosh United States 16 572 2.6× 74 0.9× 47 1.1× 11 0.3× 40 1.5× 26 665
Steffen Schuler Germany 12 368 1.7× 58 0.7× 16 0.4× 15 0.4× 83 3.2× 40 465

Countries citing papers authored by Brett Burton

Since Specialization
Citations

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

Fields of papers citing papers by Brett Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brett Burton

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

All Works

19 of 19 papers shown
1.
Miller, Leslie W., Mark Cunningham, A.J. Richardson, & Brett Burton. (2022). Wireless Powered and Water-Proof Mechanical Circulatory Support Device for Ambulatory Class III Heart Failure. JACC Basic to Translational Science. 7(3). 328–329. 5 indexed citations
2.
Sharma, Kapil K., et al.. (2021). Modulating OPG and TGF-β1 mRNA expression via bioelectrical stimulation. Bone Reports. 15. 101141–101141. 3 indexed citations
3.
Tate, Jess, et al.. (2019). Validating defibrillation simulation in a human-shaped phantom. Heart Rhythm. 17(4). 661–668. 5 indexed citations
4.
Zenger, Brian, Wilson Good, Jake Bergquist, et al.. (2019). Novel experimental model for studying the spatiotemporal electrical signature of acute myocardial ischemia: a translational platform. Physiological Measurement. 41(1). 15002–15002. 23 indexed citations
5.
Zenger, Brian, Jake Bergquist, Wilson Good, et al.. (2019). Experimental Validation of Image-Based Modeling of Torso Surface Potentials During Acute Myocardial Ischemia.. PubMed. 46.
6.
Burton, Brett, Kedar Aras, Wilson Good, et al.. (2018). A Framework for Image-Based Modeling of Acute Myocardial Ischemia Using Intramurally Recorded Extracellular Potentials. Annals of Biomedical Engineering. 46(9). 1325–1336. 16 indexed citations
7.
Burton, Brett, Kedar Aras, Wilson Good, et al.. (2018). Image-based modeling of acute myocardial ischemia using experimentally derived ischemic zone source representations. Journal of Electrocardiology. 51(4). 725–733. 9 indexed citations
8.
Tate, Jess, Karli Gillette, Brett Burton, et al.. (2018). Reducing Error in ECG Forward Simulations With Improved Source Sampling. Frontiers in Physiology. 9. 1304–1304. 12 indexed citations
9.
Good, Wilson, Brian Zenger, Jess Tate, et al.. (2018). PFEIFER: Preprocessing Framework for Electrograms Intermittently Fiducialized from Experimental Recordings. The Journal of Open Source Software. 3(21). 472–472. 34 indexed citations
10.
Tate, Jess, Karli Gillette, Brett Burton, et al.. (2017). Analyzing Source Sampling to Reduce Error in ECG Forward Simulations. Computing in cardiology. 1 indexed citations
11.
Aras, Kedar, et al.. (2016). Spatial organization of acute myocardial ischemia. Journal of Electrocardiology. 49(3). 323–336. 26 indexed citations
12.
Burton, Brett, Kedar Aras, Jess Tate, Wilson Good, & Rob MacLeod. (2016). The Role of Reduced Left Ventricular, Systolic Blood Volumes in ST Segment Potentials Overlying Diseased Tissue of the Ischemic Heart. Computing in cardiology. 43. 209–212. 5 indexed citations
13.
Aras, Kedar, Wilson Good, Jess Tate, et al.. (2015). Experimental Data and Geometric Analysis Repository—EDGAR. Journal of Electrocardiology. 48(6). 975–981. 65 indexed citations
14.
Aras, Kedar, et al.. (2014). Sensitivity of epicardial electrical markers to acute ischemia detection. Journal of Electrocardiology. 47(6). 836–841. 14 indexed citations
15.
Coll‐Font, Jaume, Brett Burton, Jess Tate, et al.. (2014). New Additions to the Toolkit for Forward/Inverse Problems in Electrocardiography within the SCIRun Problem Solving Environment.. PubMed. 2014. 213–216. 6 indexed citations
16.
Tate, Jess, et al.. (2014). Verification of a Defibrillation Simulation Using Internal Electric Fields in a Human Shaped Phantom.. PubMed. 2014. 689–692. 3 indexed citations
17.
Rosen, Paul, Brett Burton, Kristin Potter, & Chris R. Johnson. (2013). Visualization for Understanding Uncertainty in the Simulation of Myocardial Ischemia. Eurographics. 4 indexed citations
18.
Burton, Brett, Burak Erem, Kristin Potter, et al.. (2013). Uncertainty Visualization in Forward and Inverse Cardiac Models.. PubMed. 40. 57–60. 5 indexed citations
19.
Burton, Brett, Jess Tate, Burak Erem, et al.. (2011). A toolkit for forward/inverse problems in electrocardiography within the SCIRun problem solving environment. PubMed. 2011. 267–270. 44 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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