Matthieu Ferrant

16 papers receiving 788 citations

Peers

Matthieu Ferrant
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 355
  • Radiology, Nuclear Medicine and Imaging 271
  • Radiation 93
  • Biomedical Engineering 304
  • Computer Graphics and Computer-Aided Design 20
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Citations per field
00.5×2.9×
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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

16 of 16 papers shown
#Work
1 2001239
2 2001173
3 2002134
4 200468
5 200267
6
3D image matching using a finite element based elastic deformation model
199948
7 200336
8 200019
9
Image-based 3D planning of maxillofacial distraction procedures including soft tissue implications
200016
10 199910
11
Multi-object segmentation of brain structures using a computerized brain atlas
19993
12 20033
13
Registration of transcranial magnetic stimulation, a visualization tool for brain function
20023
14 20033
15 20013
16 20012

About Matthieu Ferrant

Matthieu Ferrant is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Neurology, having authored 16 papers that have together received 827 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Medical Imaging and Analysis (8 papers), Anatomy and Medical Technology (5 papers), Transcranial Magnetic Stimulation Studies (3 papers), 3D Shape Modeling and Analysis (3 papers), Robotics and Sensor-Based Localization (2 papers), Medical Imaging Techniques and Applications (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (355 citations), Radiology, Nuclear Medicine and Imaging (271 citations), Radiation (93 citations), Biomedical Engineering (304 citations) and Computer Graphics and Computer-Aided Design (20 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, Aditya Bharatha, O. Cuisenaire, Nobuhiko Hata, Clare M. Tempany and Masanori Hirose. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Medical Physics, IEEE Transactions on Medical Imaging, Computing and Visualization in 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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