Matthieu Ferrant

24 papers receiving 1.1k citations

Peers

Matthieu Ferrant
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 799
  • Radiation 109
  • Computer Graphics and Computer-Aided Design 43
  • Neurology 48
  • Biomedical Engineering 191
Replace Thomas Hartkens with:
Thomas Hartkens United Kingdom
Petra A. van den Elsen Netherlands
David T. Gering United States
B. Likar Slovenia
Andrew D. Castellano-Smith United Kingdom
Grzegorz Soza Germany
Matthew Y. Wang United States
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Citations per field
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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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001289
2 2001203
3 2002165
4 200291
5 200077
6 200469
7 199956
8
3D image matching using a finite element based elastic deformation model
199956
9 200340
10 200025
11 200024
12 200024
13 199913
14 20016
15
Multi-object segmentation of brain structures using a computerized brain atlas
19995
16 20013
17 20013
18 20013
19
Registration of transcranial magnetic stimulation, a visualization tool for brain function
20023
20 20033

About Matthieu Ferrant

Matthieu Ferrant is a scholar working on Computer Vision and Pattern Recognition, Neurology, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Orthodontics, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (21 papers), Transcranial Magnetic Stimulation Studies (4 papers), Anatomy and Medical Technology (3 papers), Advanced MRI Techniques and Applications (2 papers), Craniofacial Disorders and Treatments (1 paper), AI in cancer detection (1 paper), Orthodontics and Dentofacial Orthopedics (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (799 citations), Radiation (109 citations), Computer Graphics and Computer-Aided Design (43 citations), Neurology (48 citations) and Biomedical Engineering (191 citations). Matthieu Ferrant has collaborated with scholars based in Belgium, United States and Switzerland. Frequent co-authors include Simon Keith Warfield, Ron Kikinis, Ferenc Andras Jolesz, Benoit M. M. Macq, A. Nabavi, Arya Nabavi, Aditya Bharatha, O. Cuisenaire, Charles R.G. Guttmann and Robert V. Mulkern. 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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