Wilson Good

738 citations
57 papers · 532 · h-index 14

Impact in

Papers in

Wilson Good

53 papers receiving 505 citations

Peers

Wilson Good
Comparison fields: 5 of 71
  • Cardiology and Cardiovascular Medicine 367
  • Radiology, Nuclear Medicine and Imaging 120
  • Statistics, Probability and Uncertainty 26
  • Psychiatry and Mental health 51
  • Cognitive Neuroscience 59
Replace Ernesto Zacur with:
Ernesto Zacur United Kingdom
Burak Erem United States
Robert Arzbaecher United States
Maynard Ramsey United States
R. Hoekema Netherlands
Elizabeth M. Kelly United States
Dennis L. Rollins United States
Jonas L. Isaksen Denmark
Sardar Ansari United States
Fred Kornreich Canada
Wilson Good relative to Ernesto Zacur United Kingdom Ernesto Zacur's profile →
Citations per field
00.5×2.9×
Ernesto Zacur · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Wilson Good, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wilson Good Line = papers co-authored together Wilson Good links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201565
2 195861
3 201834
4 201624
5 201923
6 201820
7 202017
8 202117
9 201816
10 201915
11 202115
12 202314
13 202114
14 201813
15 201813
16 201812
17 20189
18 20189
19 20188
20 20198

About Wilson Good

Wilson Good is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Control and Systems Engineering and Cognitive Neuroscience, having authored 57 papers that have together received 532 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (40 papers), ECG Monitoring and Analysis (21 papers), Cardiac Arrhythmias and Treatments (12 papers), Cardiac Imaging and Diagnostics (12 papers), Cardiovascular Function and Risk Factors (11 papers), Electrical and Bioimpedance Tomography (6 papers), Advanced MRI Techniques and Applications (5 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (367 citations), Radiology, Nuclear Medicine and Imaging (120 citations), Statistics, Probability and Uncertainty (26 citations), Psychiatry and Mental health (51 citations) and Cognitive Neuroscience (59 citations). Wilson Good has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Rob MacLeod, Jess Tate, Brian Zenger, Jake Bergquist, Wayne H. Holtzman, Dana H. Brooks, Brett Burton, Jaume Coll‐Font, Kedar Aras and Peter van Dam. Their work appears in journals such as Computers in Biology and Medicine, IEEE Transactions on Biomedical Engineering, Physiological Measurement, Frontiers in Physiology and Annals of Glaciology.

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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