Wilson Good

765 citations
57 papers · 538 · h-index 14

Impact in

Papers in

Wilson Good

54 papers receiving 512 citations

Peers

Wilson Good
Comparison fields: 5 of 71
  • Cardiology and Cardiovascular Medicine 327
  • Radiology, Nuclear Medicine and Imaging 75
  • Psychiatry and Mental health 47
  • Statistics, Probability and Uncertainty 24
  • Cognitive Neuroscience 46
Replace Matteo Salvador with:
Matteo Salvador United States
Ernesto Zacur United Kingdom
Burak Erem United States
R. Hoekema Netherlands
Robert Arzbaecher United States
N. Grubb United Kingdom
Martine Neckebroek Belgium
Shimon Abboud Israel
Carl Böck Austria
Tom De Smet Belgium
Wilson Good relative to Matteo Salvador United States Matteo Salvador's profile →
Citations per field
00.5×6.3×
Matteo Salvador · 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 201566
2 195861
3 201834
4 201628
5 201923
6 201820
7 202017
8 202117
9 201816
10 202315
11 201915
12 202115
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 Computer Vision and Pattern Recognition, having authored 57 papers that have together received 538 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (33 papers), ECG Monitoring and Analysis (13 papers), Cardiovascular Function and Risk Factors (7 papers), Cardiac Imaging and Diagnostics (6 papers), Electrical and Bioimpedance Tomography (5 papers), Cardiac Arrhythmias and Treatments (5 papers), Medical Image Segmentation Techniques (3 papers) and Probabilistic and Robust Engineering Design (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (327 citations), Radiology, Nuclear Medicine and Imaging (75 citations), Psychiatry and Mental health (47 citations), Statistics, Probability and Uncertainty (24 citations) and Cognitive Neuroscience (46 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, Brett Burton, Jaume Coll‐Font, Dana H. Brooks, Kedar Aras and Peter van Dam. Their work appears in journals such as Computers in Biology and Medicine, Annals of Glaciology, Frontiers in Physiology, IEEE Transactions on Biomedical Engineering and Physiological Measurement.

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.

Explore authors with similar magnitude of impact