Raphaël Liégeois

2.8k total citations · 1 hit paper
22 papers, 1.1k citations indexed

About

Raphaël Liégeois is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Raphaël Liégeois has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Raphaël Liégeois's work include Functional Brain Connectivity Studies (16 papers), Neural dynamics and brain function (13 papers) and EEG and Brain-Computer Interfaces (4 papers). Raphaël Liégeois is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), Neural dynamics and brain function (13 papers) and EEG and Brain-Computer Interfaces (4 papers). Raphaël Liégeois collaborates with scholars based in Switzerland, Singapore and Belgium. Raphaël Liégeois's 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 and has published in prestigious journals such as Nature Communications, NeuroImage and Science Advances.

In The Last Decade

Raphaël Liégeois

22 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Global signal regression strengthens association between resting-state functional connectivity and behavior

2019 242 citations Jingwei Li, Ru Kong et al. NeuroImage profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Raphaël Liégeois Switzerland	12	1.0k	413	219	54	49	22	1.1k
Jeffrey J. Berg United States	9	1.3k 1.2×	499 1.2×	237 1.1×	37 0.7×	80 1.6×	10	1.4k
Ameera X. Patel United Kingdom	13	923 0.9×	375 0.9×	203 0.9×	61 1.1×	98 2.0×	20	1.2k
Joshua Faskowitz United States	21	1.1k 1.0×	437 1.1×	226 1.0×	33 0.6×	100 2.0×	57	1.4k
Peter T. Bell Australia	11	1.2k 1.2×	335 0.8×	197 0.9×	43 0.8×	103 2.1×	22	1.5k
Takuya Ito United States	17	1.2k 1.2×	282 0.7×	227 1.0×	35 0.6×	70 1.4×	22	1.3k
Caio Seguin Australia	15	965 0.9×	520 1.3×	176 0.8×	28 0.5×	98 2.0×	33	1.3k
František Váša United Kingdom	13	993 1.0×	522 1.3×	177 0.8×	19 0.4×	105 2.1×	24	1.3k
Barnaly Rashid United States	13	941 0.9×	409 1.0×	262 1.2×	51 0.9×	153 3.1×	26	1.1k
Thomas A. W. Bolton Switzerland	18	1.4k 1.4×	568 1.4×	313 1.4×	73 1.4×	147 3.0×	56	1.8k
Murat Demirtaş United States	7	797 0.8×	311 0.8×	132 0.6×	25 0.5×	51 1.0×	7	912

Countries citing papers authored by Raphaël Liégeois

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Bolton, Thomas A. W., Dimitri Van De Ville, Enrico Amico, Maria Giulia Preti, & Raphaël Liégeois. (2023). The arrow‐of‐time in neuroimaging time series identifies causal triggers of brain function. Human Brain Mapping. 44(10). 4077–4087. 8 indexed citations

Saggar, Manish, James M. Shine, Raphaël Liégeois, Nico U.F. Dosenbach, & Damien A. Fair. (2022). Precision dynamical mapping using topological data analysis reveals a hub-like transition state at rest. Nature Communications. 13(1). 4791–4791. 28 indexed citations

Griffa, Alessandra, Enrico Amico, Raphaël Liégeois, Dimitri Van De Ville, & Maria Giulia Preti. (2022). Brain structure-function coupling provides signatures for task decoding and individual fingerprinting. NeuroImage. 250. 118970–118970. 48 indexed citations

Omidvarnia, Amir, Raphaël Liégeois, Enrico Amico, et al.. (2022). On the Spatial Distribution of Temporal Complexity in Resting State and Task Functional MRI. Entropy. 24(8). 1148–1148. 5 indexed citations

Ville, Dimitri Van De, et al.. (2021). When makes you unique: Temporality of the human brain fingerprint. Science Advances. 7(42). eabj0751–eabj0751. 57 indexed citations

Liégeois, Raphaël, B.T. Thomas Yeo, & Dimitri Van De Ville. (2021). Interpreting null models of resting-state functional MRI dynamics: not throwing the model out with the hypothesis. NeuroImage. 243. 118518–118518. 25 indexed citations

Liégeois, Raphaël, et al.. (2020). Revisiting correlation-based functional connectivity and its relationship with structural connectivity. Network Neuroscience. 4(4). 1235–1251. 65 indexed citations

Liégeois, Raphaël, et al.. (2020). Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals. IEEE Signal Processing Magazine. 37(6). 150–159. 6 indexed citations

Kong, Xiaolu, et al.. (2019). Dynamic mode decomposition of resting-state and task fMRI. NeuroImage. 194. 42–54. 38 indexed citations

10.

Li, Jingwei, Ru Kong, Raphaël Liégeois, et al.. (2019). Global signal regression strengthens association between resting-state functional connectivity and behavior. NeuroImage. 196. 126–141. 242 indexed citations breakdown →

11.

Liégeois, Raphaël, Jingwei Li, Ru Kong, et al.. (2019). Resting brain dynamics at different timescales capture distinct aspects of human behavior. Nature Communications. 10(1). 2317–2317. 190 indexed citations

12.

Wang, Peng, Ru Kong, Xiaolu Kong, et al.. (2019). Inversion of a large-scale circuit model reveals a cortical hierarchy in the dynamic resting human brain. Science Advances. 5(1). eaat7854–eaat7854. 160 indexed citations

13.

Bolton, Thomas A. W., et al.. (2019). Guided graph spectral embedding: Application to the C. elegans connectome. Network Neuroscience. 3(3). 807–826. 8 indexed citations

14.

Liégeois, Raphaël, Timothy O. Laumann, Abraham Z. Snyder, Juan Zhou, & B.T. Thomas Yeo. (2017). Interpreting temporal fluctuations in resting-state functional connectivity MRI. NeuroImage. 163. 437–455. 175 indexed citations

15.

Liégeois, Raphaël, et al.. (2015). Principal-component analysis of particle motion. Physical Review E. 91(4). 42308–42308. 3 indexed citations

16.

Liégeois, Raphaël, Erik Ziegler, Christophe Phillips, et al.. (2015). Cerebral functional connectivity periodically (de)synchronizes with anatomical constraints. Brain Structure and Function. 221(6). 2985–2997. 58 indexed citations

17.

Liégeois, Raphaël, Bamdev Mishra, Mattia Zorzi, & Rodolphe Sepulchre. (2015). Sparse plus low-rank autoregressive identification in neuroimaging time series. Padua Research Archive (University of Padova). 3965–3970. 17 indexed citations

18.

Liégeois, Raphaël. (2011). Structured sparse principal component analysis for fMRImaging. Open Repository and Bibliography (University of Liège). 1 indexed citations

19.

Liégeois, Raphaël. (1974). COMMUNICATIONS PAR RADIO DANS LES TUNNELS.. International Conference on Multimedia Information Networking and Security. 1. 1 indexed citations

20.

Keyser, Robain De, P. Delogne, Johan Janssens, & Raphaël Liégeois. (1970). Radiocommunication and control in mines and tunnels. Electronics Letters. 6(24). 767–768. 3 indexed citations

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.

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