Raphaël Liégeois
- Cognitive Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Experimental and Cognitive Psychology top 5%
- Cardiology and Cardiovascular Medicine
- Psychiatry and Mental health
- Co-authors
- B.T. Thomas YeoDimitri Van De VilleRu KongCsaba OrbánJingwei LiTian GeMert R. SabuncuTimothy O. Laumann
- Topics
- Functional Brain Connectivity Studies (16 papers)Neural dynamics and brain function (13 papers)EEG and Brain-Computer Interfaces (4 papers)
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingExperimental and Cognitive Psychology
- Partner nations
- SwitzerlandSingaporeBelgium
In The Last Decade
Raphaël Liégeois
22 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Cognitive Neuroscience 1.0k
- Radiology, Nuclear Medicine and Imaging 413
- Experimental and Cognitive Psychology 219
- Cardiology and Cardiovascular Medicine 54
- Psychiatry and Mental health 49
Countries citing papers authored by Raphaël Liégeois
This map shows the geographic impact of Raphaël Liégeois'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 Raphaël Liégeois with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Liégeois more than expected).
Fields of papers citing papers by Raphaël Liégeois
This network shows the impact of papers produced by Raphaël Liégeois. 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 Raphaël Liégeois. The network helps show where Raphaël Liégeois may publish in the future.
Co-authorship network of co-authors of Raphaël Liégeois
This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël Liégeois. A scholar is included among the top collaborators of Raphaël Liégeois 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 Raphaël Liégeois. Raphaël Liégeois is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 28 | |
| 3 | 48 | |
| 4 | 5 | |
| 5 | 57 | |
| 6 | 25 | |
| 7 | 65 | |
| 8 | 6 | |
| 9 | 38 | |
| 10 | Global signal regression strengthens association between resting-state functional connectivity and behaviorbreakdown → | 242 |
| 11 | 190 | |
| 12 | 160 | |
| 13 | 8 | |
| 14 | 175 | |
| 15 | 3 | |
| 16 | 58 | |
| 17 | 17 | |
| 18 | Structured sparse principal component analysis for fMRImaging | 1 |
| 19 | COMMUNICATIONS PAR RADIO DANS LES TUNNELS. | 1 |
| 20 | 3 |
About Raphaël Liégeois
Raphaël Liégeois is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (16 papers), Neural dynamics and brain function (13 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.0k citations), Radiology, Nuclear Medicine and Imaging (413 citations) and Experimental and Cognitive Psychology (219 citations). Raphaël Liégeois has collaborated with scholars based in Switzerland, Singapore and Belgium. Frequent co-authors include B.T. Thomas Yeo, Dimitri Van De Ville, Ru Kong, Csaba Orbán, Jingwei Li, Tian Ge, Mert R. Sabuncu, Timothy O. Laumann, Abraham Z. Snyder and Juan Zhou. Their work appears in journals such as Nature Communications, NeuroImage and Science Advances.
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.