Guy E. Mailloux

770 citations
31 papers · 604 · h-index 13

Impact in

Papers in

Guy E. Mailloux

30 papers receiving 564 citations

Peers

Guy E. Mailloux
Comparison fields: 5 of 50
  • Radiology, Nuclear Medicine and Imaging 253
  • Computer Vision and Pattern Recognition 259
  • Cardiology and Cardiovascular Medicine 190
  • Mathematical Physics 45
  • Health Information Management 11
Replace Gerardo I. Sanchez-Ortiz with:
Gerardo I. Sanchez-Ortiz United Kingdom
Matt Ginks United Kingdom
Stephen L. Keeling Austria
Timo J Mäkelä Finland
Jatin Relan France
Martin Höller Austria
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Florence Billet France
Bhabesh Deka India
Tian-ge Zhuang China
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Citations per year

Countries citing papers authored by Guy E. Mailloux

Since Specialization
Citations

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

Fields of papers citing papers by Guy E. Mailloux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy E. Mailloux. 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 Guy E. Mailloux. The network helps show where Guy E. Mailloux may publish in the future.

Co-authors

The 12 scholars most cited alongside Guy E. Mailloux, 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 Guy E. Mailloux Line = papers co-authored together Guy E. Mailloux links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987130
2 1989100
3 198377
4 198635
5 198828
6 198127
7 198424
8 198523
9 198222
10 198721
11 198819
12 199014
13 199613
14 198212
15 20039
16 19958
17 20038
18 19897
19 19935
20 19934

About Guy E. Mailloux

Guy E. Mailloux is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Mathematical Physics and Critical Care and Intensive Care Medicine, having authored 31 papers that have together received 604 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Medical Imaging Techniques and Applications (8 papers), Cardiovascular Function and Risk Factors (5 papers), Numerical methods in inverse problems (5 papers), Cardiac Imaging and Diagnostics (5 papers), Image and Signal Denoising Methods (4 papers), Ultrasound Imaging and Elastography (4 papers) and ECG Monitoring and Analysis (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (253 citations), Computer Vision and Pattern Recognition (259 citations), Cardiology and Cardiovascular Medicine (190 citations), Mathematical Physics (45 citations) and Health Information Management (11 citations). Guy E. Mailloux has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Ramesh M. Gulrajani, Robert Petitclerc, André Bleau, Jean Meunier, Rita Noumeir, FERNAND A. ROBERGE, Patrice Y. Simard, Reginald A. Nadeau, Robert Guardo and Martial G. Bourassa. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Ultrasound in Medicine & Biology, Ultrasonic Imaging, IEEE Transactions on Pattern Analysis and Machine Intelligence and Circulation Research.

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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