Pierre Maurel
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Radiology, Nuclear Medicine and Imaging
- Computational Mechanics
- Neurology
- Co-authors
- Christian BarillotRenaud KerivenOlivier FaugerasJean–François AujolJean‐Christophe FerréGabriel PeyréHrishikesh DeshpandeGuillaume Charpiat
- Topics
- Advanced MRI Techniques and Applications (14 papers)Functional Brain Connectivity Studies (14 papers)EEG and Brain-Computer Interfaces (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
- Partner nations
- FranceSwitzerlandGermany
In The Last Decade
Pierre Maurel
23 papers receiving 257 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 141
- Cognitive Neuroscience 55
- Radiology, Nuclear Medicine and Imaging 54
- Computational Mechanics 43
- Neurology 38
Countries citing papers authored by Pierre Maurel
This map shows the geographic impact of Pierre Maurel'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 Maurel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Maurel more than expected).
Fields of papers citing papers by Pierre Maurel
This network shows the impact of papers produced by Pierre Maurel. 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 Maurel. The network helps show where Pierre Maurel may publish in the future.
Co-authorship network of co-authors of Pierre Maurel
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Maurel. A scholar is included among the top collaborators of Pierre Maurel 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 Maurel. Pierre Maurel 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 19 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | Patch-based super-resolution for arterial spin labeling MRI | 1 |
| 13 | 4 | |
| 14 | 31 | |
| 15 | 19 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | Reconciling landmarks and level sets: geometric shape warping and matching using generalized gradients and correspondence-augmented implicit representations | 1 |
| 20 | 3 |
About Pierre Maurel
Pierre Maurel is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 266 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (14 papers), Functional Brain Connectivity Studies (14 papers) and EEG and Brain-Computer Interfaces (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (141 citations), Media Technology (30 citations) and Computer Graphics and Computer-Aided Design (10 citations). Pierre Maurel has collaborated with scholars based in France, Switzerland and Germany. Frequent co-authors include Christian Barillot, Renaud Keriven, Olivier Faugeras, Jean–François Aujol, Jean‐Christophe Ferré, Gabriel Peyré, Hrishikesh Deshpande, Guillaume Charpiat, Jean-Philippe Pons and Camille Maumet. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.