Rémi Blanc
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Neurology top 10%
- Neurological disorders and treatments
Papers in
-
- Medical Image Segmentation Techniques 5
- Image Processing and 3D Reconstruction 2
-
- Medical Imaging and Analysis 3
- Photoacoustic and Ultrasonic Imaging 2
- Co-authors
- Gábor Székely (6 shared papers)Anne Morel (1 shared paper)Daniel Jeanmonod (1 shared paper)Christof Seiler (2 shared papers)András Jakab (1 shared paper)Ervin Berényi (1 shared paper)Lutz‐Peter Nolte (1 shared paper)Philip J. Withers (2 shared papers)
- Journals
- The Anatomical Record (1 paper)Medical Image Analysis (1 paper)Materials Characterization (1 paper)IEEE Transactions on Medical Imaging (1 paper)Biochemical Journal (1 paper)
- Partner nations
- SwitzerlandFranceUnited Kingdom
In The Last Decade
Rémi Blanc
18 papers receiving 589 citations
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 164
- Neurology 97
- Radiology, Nuclear Medicine and Imaging 134
- Computer Vision and Pattern Recognition 67
- Cellular and Molecular Neuroscience 44
Countries citing papers authored by Rémi Blanc
This map shows the geographic impact of Rémi Blanc'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 Rémi Blanc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rémi Blanc more than expected).
Fields of papers citing papers by Rémi Blanc
This network shows the impact of papers produced by Rémi Blanc. 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 Rémi Blanc. The network helps show where Rémi Blanc may publish in the future.
Co-authors
The 25 scholars most cited alongside Rémi Blanc, 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 | 2009 | 278 | |
| 2 | 2011 | 73 | |
| 3 | 2016 | 46 | |
| 4 | 2012 | 37 | |
| 5 | 2012 | 36 | |
| 6 | 2017 | 29 | |
| 7 | 2012 | 23 | |
| 8 | 2009 | 15 | |
| 9 | 2009 | 12 | |
| 10 | 2011 | 12 | |
| 11 | 2020 | 10 | |
| 12 | 2010 | 6 | |
| 13 | 2012 | 6 | |
| 14 | 2024 | 3 | |
| 15 | 2011 | 3 | |
| 16 | 2013 | 3 | |
| 17 | 2014 | 2 | |
| 18 | 2019 | 1 |
About Rémi Blanc
Rémi Blanc is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Geometry and Topology, having authored 18 papers that have together received 595 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), 3D Shape Modeling and Analysis (3 papers), Morphological variations and asymmetry (3 papers), Medical Imaging and Analysis (3 papers), Ultrasound Imaging and Elastography (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Image Processing and 3D Reconstruction (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Cognitive Neuroscience (164 citations), Neurology (97 citations), Radiology, Nuclear Medicine and Imaging (134 citations), Computer Vision and Pattern Recognition (67 citations) and Cellular and Molecular Neuroscience (44 citations). Rémi Blanc has collaborated with scholars based in Switzerland, France and United Kingdom. Frequent co-authors include Gábor Székely, Anne Morel, Daniel Jeanmonod, Christof Seiler, András Jakab, Ervin Berényi, Lutz‐Peter Nolte, Philip J. Withers, Nima Shokri and Xiaoxia Ou. Their work appears in journals such as The Anatomical Record, Medical Image Analysis, Materials Characterization, IEEE Transactions on Medical Imaging and Biochemical Journal.
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.