Fabrice Mériaudeau
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Ophthalmology top 0.2%
- Biomedical Engineering top 2%
- Artificial Intelligence top 2%
- Co-authors
- Désiré SidibéManesh KokarePrasanna PorwalLuca GiancardoSamiksha PachadeKenneth W. TobinRavi KambleThomas P. Karnowski
- Topics
- Retinal Imaging and Analysis (43 papers)Retinal Diseases and Treatments (30 papers)Optical measurement and interference techniques (26 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- FranceMalaysiaUnited States
In The Last Decade
Fabrice Mériaudeau
242 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Radiology, Nuclear Medicine and Imaging 2.5k
- Computer Vision and Pattern Recognition 1.9k
- Ophthalmology 1.5k
- Biomedical Engineering 1.1k
- Artificial Intelligence 689
Countries citing papers authored by Fabrice Mériaudeau
This map shows the geographic impact of Fabrice Mériaudeau'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 Fabrice Mériaudeau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrice Mériaudeau more than expected).
Fields of papers citing papers by Fabrice Mériaudeau
This network shows the impact of papers produced by Fabrice Mériaudeau. 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 Fabrice Mériaudeau. The network helps show where Fabrice Mériaudeau may publish in the future.
Co-authorship network of co-authors of Fabrice Mériaudeau
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrice Mériaudeau. A scholar is included among the top collaborators of Fabrice Mériaudeau 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 Fabrice Mériaudeau. Fabrice Mériaudeau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 28 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 36 | |
| 11 | 9 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 9 | |
| 16 | 29 | |
| 17 | 53 | |
| 18 | 1 | |
| 19 | Machine Vision Applications in Industrial Inspection XV | 2 |
| 20 | Distant Horizontal Ground Observation: Atmospheric Perturbation Simulation and Image Restoration | 2 |
About Fabrice Mériaudeau
Fabrice Mériaudeau is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Industrial and Manufacturing Engineering, having authored 249 papers that have together received 5.6k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (43 papers), Retinal Diseases and Treatments (30 papers) and Optical measurement and interference techniques (26 papers). The work is most often cited by research in Ophthalmology (1.5k citations), Radiology, Nuclear Medicine and Imaging (2.5k citations) and Computer Vision and Pattern Recognition (1.9k citations). Fabrice Mériaudeau has collaborated with scholars based in France, Malaysia and United States. Frequent co-authors include Désiré Sidibé, Manesh Kokare, Prasanna Porwal, Luca Giancardo, Samiksha Pachade, Kenneth W. Tobin, Ravi Kamble, Thomas P. Karnowski, Edward Chaum and G Lemaître. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics 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.