Xavier Pennec
Impact in
- Computational Mathematics top 0.2%
-
- Medical Image Segmentation Techniques
Papers in
-
- Medical Image Segmentation Techniques 85
- Co-authors
- Nicholas AyachePierre FillardVincent ArsignyTom VercauterenAymeric PerchantAlexis RocheStanley DurrlemanMarco Lorenzi
- Journals
- Medical Image Analysis (9 papers)NeuroImage (8 papers)IEEE Transactions on Medical Imaging (8 papers)International Journal of Computer Vision (7 papers)Journal of Mathematical Imaging and Vision (5 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Xavier Pennec
198 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Computational Mathematics 351
- Computer Vision and Pattern Recognition 4.5k
- Radiology, Nuclear Medicine and Imaging 3.6k
- Geometry and Topology 879
- Computer Graphics and Computer-Aided Design 168
Countries citing papers authored by Xavier Pennec
This map shows the geographic impact of Xavier Pennec'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 Xavier Pennec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Pennec more than expected).
Fields of papers citing papers by Xavier Pennec
This network shows the impact of papers produced by Xavier Pennec. 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 Xavier Pennec. The network helps show where Xavier Pennec may publish in the future.
Co-authors
The 25 scholars most cited alongside Xavier Pennec, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 11 | |
| 4 | 2016 | 3 | |
| 5 | 2016 | 6 | |
| 6 | 2016 | 17 | |
| 7 | 2013 | 4 | |
| 8 | 2011 | 10 | |
| 9 | Higher Order Kernels and Locally Affine LDDMM Registration | 2011 | 2 |
| 10 | 2009 | 69 | |
| 11 | 2009 | 67 | |
| 12 | 2008 | 5 | |
| 13 | A new registration method based on Log-Euclidean tensor metrics and its application to genetic studies | 2008 | 1 |
| 14 | 2008 | 23 | |
| 15 | Comparison of Standard and Riemannian Fluid Registration for Tensor-Based Morphometry in HIV/AIDS | 2007 | 10 |
| 16 | An augmented reality system to guide radio-frequency tumour ablation: Research Articles | 2005 | 15 |
| 17 | 2005 | 178 | |
| 18 | 2005 | 59 | |
| 19 | Automatic Alignment of Histological Sections for 3D Reconstruction and Analysis | 1998 | 7 |
| 20 | Automatic Alignment of Histological Sections | 1998 | 3 |
About Xavier Pennec
Xavier Pennec is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Geometry and Topology, Radiology, Nuclear Medicine and Imaging and Information Systems and Management, having authored 204 papers that have together received 9.7k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (85 papers), Advanced Neuroimaging Techniques and Applications (61 papers), Morphological variations and asymmetry (39 papers), Robotics and Sensor-Based Localization (22 papers), 3D Shape Modeling and Analysis (19 papers), Medical Imaging Techniques and Applications (19 papers), Advanced MRI Techniques and Applications (18 papers) and Functional Brain Connectivity Studies (17 papers). The work is most often cited by research in Computational Mathematics (351 citations), Computer Vision and Pattern Recognition (4.5k citations), Radiology, Nuclear Medicine and Imaging (3.6k citations), Geometry and Topology (879 citations) and Computer Graphics and Computer-Aided Design (168 citations). Xavier Pennec has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Nicholas Ayache, Pierre Fillard, Vincent Arsigny, Tom Vercauteren, Aymeric Perchant, Alexis Roche, Stanley Durrleman, Marco Lorenzi, Alain Trouvé and Maxime Sermesant. Their work appears in journals such as Medical Image Analysis, NeuroImage, IEEE Transactions on Medical Imaging, International Journal of Computer Vision and Journal of Mathematical Imaging and Vision.
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.