Burak Erem

593 total citations
31 papers, 428 citations indexed

About

Burak Erem is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Burak Erem has authored 31 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 9 papers in Cognitive Neuroscience and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Burak Erem's work include ECG Monitoring and Analysis (11 papers), Cardiac electrophysiology and arrhythmias (10 papers) and EEG and Brain-Computer Interfaces (7 papers). Burak Erem is often cited by papers focused on ECG Monitoring and Analysis (11 papers), Cardiac electrophysiology and arrhythmias (10 papers) and EEG and Brain-Computer Interfaces (7 papers). Burak Erem collaborates with scholars based in United States, Netherlands and Czechia. Burak Erem's co-authors include Dana H. Brooks, Rob MacLeod, Jaume Coll‐Font, Peter van Dam, Simon K. Warfield, Onur Afacan, Don M. Tucker, Moritz Dannhauer, Phan Luu and Sergei Turovets and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and Computers in Biology and Medicine.

In The Last Decade

Burak Erem

30 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Burak Erem United States 10 197 144 95 70 64 31 428
Aya Khalaf United States 10 104 0.5× 46 0.3× 203 2.1× 37 0.5× 11 0.2× 29 314
R. Hoekema Netherlands 14 471 2.4× 118 0.8× 342 3.6× 86 1.2× 30 0.5× 29 745
Tomás Teijeiro Switzerland 11 218 1.1× 114 0.8× 190 2.0× 64 0.9× 14 0.2× 36 612
Dipayan Mitra United Kingdom 10 45 0.2× 70 0.5× 28 0.3× 16 0.2× 19 0.3× 23 310
Inas A. Yassine Egypt 9 110 0.6× 150 1.0× 143 1.5× 8 0.1× 50 0.8× 33 394
Lu Meng China 11 27 0.1× 135 0.9× 111 1.2× 21 0.3× 51 0.8× 43 438
Filip Plešinger Czechia 19 634 3.2× 28 0.2× 340 3.6× 35 0.5× 24 0.4× 81 928
Erick Andres Perez Alday United States 13 731 3.7× 79 0.5× 308 3.2× 32 0.5× 22 0.3× 43 905
Datian Ye China 12 49 0.2× 46 0.3× 200 2.1× 42 0.6× 12 0.2× 66 504
N. Mariyappa India 10 55 0.3× 43 0.3× 189 2.0× 22 0.3× 10 0.2× 36 356

Countries citing papers authored by Burak Erem

Since Specialization
Citations

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

Fields of papers citing papers by Burak Erem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Burak Erem

This figure shows the co-authorship network connecting the top 25 collaborators of Burak Erem. A scholar is included among the top collaborators of Burak Erem 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 Burak Erem. Burak Erem 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.
Cluitmans, Matthijs, Jaume Coll‐Font, Burak Erem, et al.. (2021). Spatiotemporal approximation of cardiac activation and recovery isochrones. Journal of Electrocardiology. 71. 1–9. 9 indexed citations
2.
Erem, Burak, et al.. (2020). Characterizing the transient electrocardiographic signature of ischemic stress using Laplacian Eigenmaps for dimensionality reduction. Computers in Biology and Medicine. 127. 104059–104059. 7 indexed citations
3.
4.
Good, Wilson, Burak Erem, Brian Zenger, et al.. (2018). Temporal Performance of Laplacian Eigenmaps and 3D Conduction Velocity in Detecting Ischemic Stress. Journal of Electrocardiology. 51(6). S116–S120. 13 indexed citations
5.
Good, Wilson, Burak Erem, Jaume Coll‐Font, Dana H. Brooks, & Rob MacLeod. (2017). Detecting Ischemic Stress to the Myocardium Using Laplacian Eigenmaps and Changes to Conduction Velocity. Computing in cardiology. 44. 6 indexed citations
6.
Dannhauer, Moritz, Burak Erem, Rob MacLeod, et al.. (2016). Optimization of focality and direction in dense electrode array transcranial direct current stimulation (tDCS). Journal of Neural Engineering. 13(3). 36020–36020. 62 indexed citations
7.
Afacan, Onur, et al.. (2016). Evaluation of motion and its effect on brain magnetic resonance image quality in children. Pediatric Radiology. 46(12). 1728–1735. 44 indexed citations
8.
Good, Wilson, et al.. (2016). Novel Biomarker for Evaluating Ischemic Stress Using an Electrogram Derived Phase Space. Computing in cardiology. 43. 1057–1060. 4 indexed citations
9.
Erem, Burak, Damon E. Hyde, Jurriaan M. Peters, et al.. (2016). Extensions to a manifold learning framework for time-series analysis on dynamic manifolds in bioelectric signals. Physical review. E. 93(4). 42218–42218. 19 indexed citations
10.
Coll‐Font, Jaume, et al.. (2015). A statistical approach to incorporate multiple ECG or EEG recordings with artifactual variability into inverse solutions. PubMed. 2015. 1053–1056. 3 indexed citations
11.
Erem, Burak, Damon E. Hyde, Jurriaan M. Peters, et al.. (2015). Combined delay and graph embedding of epileptic discharges in EEG reveals complex and recurrent nonlinear dynamics. PubMed. 116. 347–350. 7 indexed citations
12.
Coll‐Font, Jaume, et al.. (2015). Quantitative comparison of two cardiac electrical imaging methods to localize pacing sites. 217–220. 3 indexed citations
13.
Coll‐Font, Jaume, et al.. (2014). Using a new time-independent average method for non-invasive cardiac potential imaging of endocardial pacing with imprecise thorax geometry. Computing in Cardiology. 825–828. 2 indexed citations
14.
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
15.
Erem, Burak, et al.. (2013). Time invariant multi electrode averaging for biomedical signals. PubMed. 2013. 1242–1246. 7 indexed citations
16.
Erem, Burak, et al.. (2012). Manifold learning for analysis of low-order nonlinear dynamics in high-dimensional electrocardiographic signals. PubMed. 2012. 844–847. 6 indexed citations
17.
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
18.
Erem, Burak, Dana H. Brooks, Peter van Dam, J.G. Stinstra, & Rob MacLeod. (2011). Spatiotemporal estimation of activation times of fractionated ECGs on complex heart surfaces. PubMed. 2011. 5884–5887. 21 indexed citations
19.
Erem, Burak & Dana H. Brooks. (2011). Differential geometric approximation of the gradient and Hessian on a triangulated manifold. PubMed. 18(March 30 2011-April 2 2011). 504–507. 8 indexed citations
20.
Erem, Burak, et al.. (2009). Methods for initialization of activation based inverse electrocardiography using graphs derived from heart surface geometry. 189–192. 2 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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