M. Guerquin-Kern
- Radiology, Nuclear Medicine and Imaging top 10%
- Computational Mechanics top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Michaël UnserKlaas P. PruessmannLaure LejeuneDimitri Van De VilleCédric VoneschMichel KocherAntoine KlauserF. Işık Karahanoğlu
- Topics
- Advanced MRI Techniques and Applications (5 papers)Sparse and Compressive Sensing Techniques (4 papers)Atomic and Subatomic Physics Research (3 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputational MechanicsComputer Vision and Pattern Recognition
- Journals
- Magnetic Resonance in MedicineIEEE Transactions on Medical ImagingInfoscience (Ecole Polytechnique Fédérale de Lausanne)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
M. Guerquin-Kern
7 papers receiving 269 citations
Peers
Comparison fields: 5 of 36
- Radiology, Nuclear Medicine and Imaging 221
- Computational Mechanics 132
- Biomedical Engineering 74
- Computer Vision and Pattern Recognition 70
- Atomic and Molecular Physics, and Optics 36
Countries citing papers authored by M. Guerquin-Kern
This map shows the geographic impact of M. Guerquin-Kern'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 M. Guerquin-Kern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Guerquin-Kern more than expected).
Fields of papers citing papers by M. Guerquin-Kern
This network shows the impact of papers produced by M. Guerquin-Kern. 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 M. Guerquin-Kern. The network helps show where M. Guerquin-Kern may publish in the future.
Co-authorship network of co-authors of M. Guerquin-Kern
This figure shows the co-authorship network connecting the top 25 collaborators of M. Guerquin-Kern. A scholar is included among the top collaborators of M. Guerquin-Kern 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 M. Guerquin-Kern. M. Guerquin-Kern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 0 | |
| 3 | 107 | |
| 4 | 119 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 24 |
About M. Guerquin-Kern
M. Guerquin-Kern is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Spectroscopy, having authored 8 papers that have together received 284 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Atomic and Subatomic Physics Research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (221 citations), Computational Mechanics (132 citations) and Computer Vision and Pattern Recognition (70 citations). M. Guerquin-Kern has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Michaël Unser, Klaas P. Pruessmann, Laure Lejeune, Dimitri Van De Ville, Cédric Vonesch, Michel Kocher, Antoine Klauser and F. Işık Karahanoğlu. Their work appears in journals such as Magnetic Resonance in Medicine, IEEE Transactions on Medical Imaging and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.