Matthieu Ferrant

25 papers receiving 1.1k citations

Peers

Matthieu Ferrant
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 559
  • Radiology, Nuclear Medicine and Imaging 388
  • Radiation 108
  • Biomedical Engineering 473
  • Computer Graphics and Computer-Aided Design 34
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Thomas Hartkens United Kingdom
F. Pernuš Slovenia
Danny R. Spelbring United States
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A. Nabavi Germany
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Citations per year

Countries citing papers authored by Matthieu Ferrant

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Ferrant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001289
2 2001201
3 2002166
4 200288
5 200078
6 200469
7 199955
8
3D image matching using a finite element based elastic deformation model
199952
9 200340
10 200025
11 200025
12
Image-based 3D planning of maxillofacial distraction procedures including soft tissue implications
200019
13 200019
14 199914
15
Multi-object segmentation of brain structures using a computerized brain atlas
19996
16 20015
17 20013
18 20033
19
Registration of transcranial magnetic stimulation, a visualization tool for brain function
20023
20 20013

About Matthieu Ferrant

Matthieu Ferrant is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Medical Imaging and Analysis (9 papers), Anatomy and Medical Technology (7 papers), 3D Shape Modeling and Analysis (7 papers), Robotics and Sensor-Based Localization (4 papers), Transcranial Magnetic Stimulation Studies (3 papers), Medical Imaging Techniques and Applications (3 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (559 citations), Radiology, Nuclear Medicine and Imaging (388 citations), Radiation (108 citations), Biomedical Engineering (473 citations) and Computer Graphics and Computer-Aided Design (34 citations). Matthieu Ferrant has collaborated with scholars based in Belgium, United States and Switzerland. Frequent co-authors include Simon K. Warfield, Ron Kikinis, Ferenc A. Jólesz, Benoı̂t Macq, A. Nabavi, Arya Nabavi, Aditya Bharatha, O. Cuisenaire, Juan Ruiz‐Alzola and Masanori Hirose. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Computing and Visualization in Science, IEEE Transactions on Medical Imaging, Lecture notes in computer science and Medical Image Analysis.

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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