Céline Fouard

20 papers receiving 534 citations

Peers

Céline Fouard
Comparison fields: 5 of 112
  • Biomedical Engineering 227
  • Radiology, Nuclear Medicine and Imaging 140
  • Surgery 96
  • Computer Vision and Pattern Recognition 86
  • Pulmonary and Respiratory Medicine 58
Replace Michael Schwier with:
Michael Schwier Germany
Hongxia Yin China
Jean‐Marc Peyrat France
Daniel Goldberg‐Zimring United States
S.K. Kyriacou United States
Bryn Lloyd Switzerland
Gregory B. Sands New Zealand
Grzegorz Soza Germany
Denis P. Shamonin Netherlands
Junfeng Zhang China
Céline Fouard relative to Michael Schwier Germany Michael Schwier's profile →
Citations per field
00.5×1.7×
Michael Schwier · 1×
Citations per year

Countries citing papers authored by Céline Fouard

Since Specialization
Citations

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

Fields of papers citing papers by Céline Fouard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Céline Fouard

This figure shows the co-authorship network connecting the top 25 collaborators of Céline Fouard. A scholar is included among the top collaborators of Céline Fouard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Céline Fouard. Céline Fouard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 1
4 19
5 58
6 10
7
A modular CT/MRI-guided Teleoperation Platform for Robot Assisted Punctures Planning
1
8 3
9 1
10 27
11 56
12 36
13 16
14 2
15 220
16 60
17 1
18 15
19
Automated method for non-destructive 3D visualisation of plant root architecture using X-ray tomography
4
20 20

About Céline Fouard

Céline Fouard is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 20 papers that have together received 553 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Soft Robotics and Applications (6 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (140 citations), Biomedical Engineering (227 citations) and Radiation (41 citations). Céline Fouard has collaborated with scholars based in France, Germany and Sweden. Frequent co-authors include Francis Cassot, Steffen Prohaska, F. Lauwers, Valérie Lauwers‐Cancès, Ivan Bricault, Philippe Cinquin, Grégoire Malandain, Nikolai Hungr, Malte Westerhoff and S. Prohaska. Their work appears in journals such as Optics Letters, IEEE Transactions on Biomedical Engineering 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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