Wilson Good

738 total citations
57 papers, 532 citations indexed

About

Wilson Good is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Wilson Good has authored 57 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cardiology and Cardiovascular Medicine, 17 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Wilson Good's work include Cardiac electrophysiology and arrhythmias (40 papers), ECG Monitoring and Analysis (21 papers) and Cardiac Arrhythmias and Treatments (12 papers). Wilson Good is often cited by papers focused on Cardiac electrophysiology and arrhythmias (40 papers), ECG Monitoring and Analysis (21 papers) and Cardiac Arrhythmias and Treatments (12 papers). Wilson Good collaborates with scholars based in United States, France and Netherlands. Wilson Good's co-authors include Rob MacLeod, Jess Tate, Brian Zenger, Jake Bergquist, Dana H. Brooks, Wayne H. Holtzman, Brett Burton, Jaume Coll‐Font, Kedar Aras and Peter van Dam and has published in prestigious journals such as American Journal of Psychiatry, The Journal of Physiology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Wilson Good

53 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wilson Good United States 14 367 120 74 60 59 57 532
Burak Erem United States 10 197 0.5× 144 1.2× 70 0.9× 56 0.9× 95 1.6× 31 428
Ernesto Zacur United Kingdom 16 311 0.8× 120 1.0× 13 0.2× 77 1.3× 56 0.9× 31 574
R. Hoekema Netherlands 14 471 1.3× 118 1.0× 86 1.2× 181 3.0× 342 5.8× 29 745
Robert Arzbaecher United States 15 1.7k 4.7× 251 2.1× 87 1.2× 181 3.0× 128 2.2× 62 2.0k
Elizabeth M. Kelly United States 14 821 2.2× 42 0.3× 15 0.2× 37 0.6× 40 0.7× 34 1.1k
Maynard Ramsey United States 4 360 1.0× 89 0.7× 69 0.9× 124 2.1× 38 0.6× 9 571
Jonas L. Isaksen Denmark 11 234 0.6× 29 0.2× 14 0.2× 40 0.7× 45 0.8× 44 411
Fred Kornreich Canada 12 304 0.8× 84 0.7× 15 0.2× 51 0.8× 41 0.7× 19 336
Tomás Teijeiro Switzerland 11 218 0.6× 114 0.9× 64 0.9× 92 1.5× 190 3.2× 36 612
Matthijs Cluitmans Netherlands 12 467 1.3× 142 1.2× 70 0.9× 52 0.9× 40 0.7× 48 565

Countries citing papers authored by Wilson Good

Since Specialization
Citations

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

Fields of papers citing papers by Wilson Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wilson Good

This figure shows the co-authorship network connecting the top 25 collaborators of Wilson Good. A scholar is included among the top collaborators of Wilson Good 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 Wilson Good. Wilson Good 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.
Tanner, Laura I., Jake Bergquist, Wilson Good, et al.. (2025). Uncertainty quantification via polynomial chaos expansion of myocardial fibre orientation and cardiac activation patterns. The Journal of Physiology.
2.
Doğrusöz, Yeşim Serinağaoğlu, Laura Bear, Jake Bergquist, et al.. (2024). Evaluation of five methods for the interpolation of bad leads in the solution of the inverse electrocardiography problem. Physiological Measurement. 45(9). 95012–95012. 1 indexed citations
3.
Betts, Timothy R., Wilson Good, Andreas Metzner, et al.. (2023). Treatment of pathophysiologic propagation outside of the pulmonary veins in retreatment of atrial fibrillation patients: RECOVER AF study. EP Europace. 25(5). 14 indexed citations
4.
Bergquist, Jake, Jaume Coll‐Font, Brian Zenger, et al.. (2022). Reconstruction of cardiac position using body surface potentials. Computers in Biology and Medicine. 142. 105174–105174. 5 indexed citations
5.
Zenger, Brian, Wilson Good, Jaume Coll‐Font, et al.. (2022). Heart Position Uncertainty Quantification in the Inverse Problem of ECGI. Computing in cardiology. 3 indexed citations
6.
Bear, Laura, Yeşim Serinağaoğlu Doğrusöz, Wilson Good, et al.. (2021). The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity. Computers in Biology and Medicine. 136. 104666–104666. 7 indexed citations
7.
Tate, Jess, Wilson Good, Néjib Zemzemi, et al.. (2021). Uncertainty Quantification of the Effects of Segmentation Variability in ECGI. Lecture notes in computer science. 12738. 515–522. 17 indexed citations
8.
Good, Wilson, Brian Zenger, Jake Bergquist, et al.. (2021). Combining endocardial mapping and electrocardiographic imaging (ECGI) for improving PVC localization: A feasibility study. Journal of Electrocardiology. 69. 51–54. 4 indexed citations
9.
Zenger, Brian, Wilson Good, Jake Bergquist, et al.. (2021). Pharmacological and simulated exercise cardiac stress tests produce different ischemic signatures in high-resolution experimental mapping studies. Journal of Electrocardiology. 68. 56–64. 2 indexed citations
10.
Bear, Laura, Yeşim Serinağaoğlu Doğrusöz, Wilson Good, et al.. (2020). The Impact of Torso Signal Processing on Noninvasive Electrocardiographic Imaging Reconstructions. IEEE Transactions on Biomedical Engineering. 68(2). 436–447. 17 indexed citations
11.
Bergquist, Jake, et al.. (2020). Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques. Computing in cardiology. 47. 7 indexed citations
12.
Good, Wilson, Jake Bergquist, Brian Zenger, et al.. (2020). Effect of Myocardial Fiber Direction on Epicardial Activation Patterns. Computing in cardiology. 47. 2 indexed citations
13.
Bergquist, Jake, Wilson Good, Brian Zenger, Jess Tate, & Rob MacLeod. (2019). Optimizing the Reconstruction of Cardiac Potentials Using a Novel High Resolution Pericardiac Cage. Computing in cardiology. 6 indexed citations
14.
Bear, Laura, Yeşim Serinağaoğlu Doğrusöz, Jana Švehlíková, et al.. (2018). Effects of ECG Signal Processing on the Inverse Problem of Electrocardiography. Computing in cardiology. 45. 20 indexed citations
15.
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
16.
Good, Wilson, Jaume Coll‐Font, Brian Zenger, et al.. (2018). Novel Metric Using Laplacian Eigenmaps to Evaluate Ischemic Stress on the Torso Surface. Computing in cardiology. 45. 5 indexed citations
17.
Tate, Jess, Néjib Zemzemi, Wilson Good, et al.. (2018). Effect of Segmentation Variation on ECG Imaging. Computing in cardiology. 45. 13 indexed citations
18.
Doğrusöz, Yeşim Serinağaoğlu, Laura Bear, Jana Švehlíková, et al.. (2018). Reduction of Effects of Noise on the Inverse Problem of Electrocardiography With Bayesian Estimation. Computing in cardiology. 45. 8 indexed citations
19.
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
20.
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

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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