Thomas Grenier

39 papers receiving 383 citations

Peers

Thomas Grenier
Comparison fields: 5 of 87
  • Structural Biology 39
  • Health Informatics 10
  • Radiology, Nuclear Medicine and Imaging 146
  • Surfaces, Coatings and Films 36
  • Computer Vision and Pattern Recognition 94
Replace Cuixia Dai with:
Cuixia Dai China
Y. Fridman United States
Nicholas Schwarz United States
Amit Suveer Sweden
S. Lebonvallet France
Patrick Trampert Germany
Joseph N. Stember United States
Gaetan G. Lehmann France
A. Bilenca Israel
Jonas Albers Germany
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Countries citing papers authored by Thomas Grenier

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Grenier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Grenier, 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 Thomas Grenier Line = papers co-authored together Thomas Grenier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202041
2 201939
3 202239
4 201725
5 201823
6 202023
7 201921
8 201720
9 202218
10 202014
11 202310
12 20229
13 20159
14 20189
15 20228
16 20208
17 20068
18 20058
19 20068
20 20217

About Thomas Grenier

Thomas Grenier is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Surfaces, Coatings and Films and Biomedical Engineering, having authored 41 papers that have together received 391 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (5 papers), Electron and X-Ray Spectroscopy Techniques (5 papers), Advanced Electron Microscopy Techniques and Applications (4 papers), Cell Image Analysis Techniques (4 papers), Cardiac Valve Diseases and Treatments (4 papers) and Ultrasound Imaging and Elastography (3 papers). The work is most often cited by research in Structural Biology (39 citations), Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (146 citations), Surfaces, Coatings and Films (36 citations) and Computer Vision and Pattern Recognition (94 citations). Thomas Grenier has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Olivier Bernard, Thierry Épicier, Sarah Leclerc, Christophe Ducottet, Voichiţa Maxim, Lucian Roiban, Lasse Løvstakken, Pierre‐Marc Jodoin, Erik Smistad and Anne‐Sophie Gay. Their work appears in journals such as Scientific Reports, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Microscopy and Microanalysis, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control and IEEE Transactions on Medical Imaging.

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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