Frédéric Commandeur

2.7k citations
34 papers · 1.9k · h-index 18

Impact in

Papers in

Frédéric Commandeur

33 papers receiving 1.9k citations

Peers

Frédéric Commandeur
Comparison fields: 5 of 69
  • Health Informatics 103
  • Cardiology and Cardiovascular Medicine 1.0k
  • Radiology, Nuclear Medicine and Imaging 804
  • Health Information Management 82
  • Biomedical Engineering 317
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Yuka Otaki United States
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Commandeur

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Commandeur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018254
2 2018234
3 2019182
4 2017175
5 2018150
6 2016135
7 2020120
8 2019111
9 2018106
10 2019105
11 201945
12 202043
13 202143
14 202040
15 201623
16 201821
17 201918
18 201718
19 201114
20 201813

About Frédéric Commandeur

Frédéric Commandeur is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (14 papers), Cardiac Imaging and Diagnostics (11 papers), Medical Image Segmentation Techniques (5 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Advanced Radiotherapy Techniques (4 papers), Medical Imaging and Analysis (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Health Informatics (103 citations), Cardiology and Cardiovascular Medicine (1.0k citations), Radiology, Nuclear Medicine and Imaging (804 citations), Health Information Management (82 citations) and Biomedical Engineering (317 citations). Frédéric Commandeur has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Damini Dey, Daniel S. Berman, Piotr J. Slomka, Balaji Tamarappoo, Markus Goeller, Sebastien Cadet, Xi Chen, Stephan Achenbach, Heidi Gransar and Mohamed Marwan. Their work appears in journals such as Journal of cardiovascular computed tomography, European Heart Journal, Journal of the American College of Cardiology, European Heart Journal - Cardiovascular Imaging 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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