Pierre Fillard
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Computer Vision and Pattern Recognition top 1%
- Cognitive Neuroscience top 2%
- Pediatrics, Perinatology and Child Health top 2%
- Epidemiology top 10%
- Co-authors
- Xavier PennecNicholas AyacheVincent ArsignyP. LasjauniasD. DucreuxCyril PouponD. FaconD.R. Rutgers
- Topics
- Advanced Neuroimaging Techniques and Applications (41 papers)Advanced MRI Techniques and Applications (12 papers)Fetal and Pediatric Neurological Disorders (11 papers)
- Cited by
- Computational MathematicsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- FranceUnited StatesChile
In The Last Decade
Pierre Fillard
51 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Radiology, Nuclear Medicine and Imaging 2.7k
- Computer Vision and Pattern Recognition 1.2k
- Cognitive Neuroscience 678
- Pediatrics, Perinatology and Child Health 568
- Epidemiology 408
Countries citing papers authored by Pierre Fillard
This map shows the geographic impact of Pierre Fillard'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 Pierre Fillard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Fillard more than expected).
Fields of papers citing papers by Pierre Fillard
This network shows the impact of papers produced by Pierre Fillard. 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 Pierre Fillard. The network helps show where Pierre Fillard may publish in the future.
Co-authorship network of co-authors of Pierre Fillard
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Fillard. A scholar is included among the top collaborators of Pierre Fillard 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 Pierre Fillard. Pierre Fillard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 76 | |
| 6 | 3 | |
| 7 | 94 | |
| 8 | A multi-resolution watershed-based approach for the segmentation of diffusion tensor images | 3 |
| 9 | 6 | |
| 10 | 48 | |
| 11 | 69 | |
| 12 | 7 | |
| 13 | 23 | |
| 14 | 68 | |
| 15 | 40 | |
| 16 | Log‐Euclidean metrics for fast and simple calculus on diffusion tensorsbreakdown → | 698 |
| 17 | 2 | |
| 18 | 178 | |
| 19 | 59 | |
| 20 | 44 |
About Pierre Fillard
Pierre Fillard is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Orthopedics and Sports Medicine, having authored 54 papers that have together received 4.9k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (41 papers), Advanced MRI Techniques and Applications (12 papers) and Fetal and Pediatric Neurological Disorders (11 papers). The work is most often cited by research in Computational Mathematics (328 citations), Radiology, Nuclear Medicine and Imaging (2.7k citations) and Computer Vision and Pattern Recognition (1.2k citations). Pierre Fillard has collaborated with scholars based in France, United States and Chile. Frequent co-authors include Xavier Pennec, Nicholas Ayache, Vincent Arsigny, P. Lasjaunias, D. Ducreux, Cyril Poupon, D. Facon, D.R. Rutgers, Jean‐François Mangin and J.-F. Lepeintre. Their work appears in journals such as NeuroImage, Scientific Reports and Magnetic Resonance in Medicine.
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.