Maureen Clerc

5.8k total citations · 2 hit papers
73 papers, 3.7k citations indexed

About

Maureen Clerc is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Maureen Clerc has authored 73 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cognitive Neuroscience, 17 papers in Electrical and Electronic Engineering and 14 papers in Signal Processing. Recurrent topics in Maureen Clerc's work include EEG and Brain-Computer Interfaces (30 papers), Neural dynamics and brain function (18 papers) and Blind Source Separation Techniques (13 papers). Maureen Clerc is often cited by papers focused on EEG and Brain-Computer Interfaces (30 papers), Neural dynamics and brain function (18 papers) and Blind Source Separation Techniques (13 papers). Maureen Clerc collaborates with scholars based in France, United States and Czechia. Maureen Clerc's co-authors include Théodore Papadopoulo, Alexandre Gramfort, Emmanuel Olivi, Laurent Bougrain, Fabien Lotte, Alain Rakotomamonjy, Andrzej Cichocki, Marco Congedo, Florian Yger and Jan Kybic and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Maureen Clerc

70 papers receiving 3.6k citations

Hit Papers

A review of classification algorithms for E... 2010 2026 2015 2020 2018 2010 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maureen Clerc France 21 3.1k 843 522 485 343 73 3.7k
Siamac Fazli South Korea 22 2.4k 0.8× 1.2k 1.4× 561 1.1× 306 0.6× 296 0.9× 58 3.3k
Sung Chan Jun South Korea 26 1.9k 0.6× 765 0.9× 556 1.1× 243 0.5× 204 0.6× 123 2.9k
Damien Coyle United Kingdom 30 2.6k 0.9× 1.1k 1.3× 503 1.0× 432 0.9× 124 0.4× 149 3.2k
Stefan Haufe Germany 32 4.5k 1.5× 891 1.1× 337 0.6× 724 1.5× 396 1.2× 90 5.3k
Ranjith S. Wijesinghe United States 13 2.5k 0.8× 844 1.0× 293 0.6× 345 0.7× 213 0.6× 27 2.9k
Paul Sajda United States 39 3.8k 1.3× 472 0.6× 313 0.6× 655 1.4× 598 1.7× 177 6.0k
Peng Xu China 44 4.8k 1.6× 1.3k 1.5× 637 1.2× 774 1.6× 365 1.1× 234 6.0k
Dezhong Yao China 47 5.7k 1.9× 1.1k 1.3× 537 1.0× 960 2.0× 682 2.0× 295 7.0k
Vadim V. Nikulin Germany 43 5.3k 1.7× 1.0k 1.2× 169 0.3× 421 0.9× 278 0.8× 227 7.4k

Countries citing papers authored by Maureen Clerc

Since Specialization
Citations

This map shows the geographic impact of Maureen Clerc'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 Maureen Clerc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maureen Clerc more than expected).

Fields of papers citing papers by Maureen Clerc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maureen Clerc. 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 Maureen Clerc. The network helps show where Maureen Clerc may publish in the future.

Co-authorship network of co-authors of Maureen Clerc

This figure shows the co-authorship network connecting the top 25 collaborators of Maureen Clerc. A scholar is included among the top collaborators of Maureen Clerc 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 Maureen Clerc. Maureen Clerc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Clerc, Maureen, et al.. (2025). Attentional Inhibition Ability Predicts Neural Representation During Challenging Auditory Streaming. Cognitive Affective & Behavioral Neuroscience. 25(3). 650–667. 1 indexed citations
2.
Vandersteen, Clair, et al.. (2022). Current distribution of distributed all-polar cochlear implant stimulation mode measured in-situ. PLoS ONE. 17(10). e0275961–e0275961. 3 indexed citations
3.
Clerc, Maureen, et al.. (2021). Long Multi-Stage Training for a Motor-Impaired User in a BCI Competition. Frontiers in Human Neuroscience. 15. 647908–647908. 8 indexed citations
4.
Piastra, Maria Carla, et al.. (2020). A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources. Human Brain Mapping. 42(4). 978–992. 59 indexed citations
5.
Clerc, Maureen, et al.. (2018). Fast Approximation of EEG Forward Problem and Application to Tissue\n Conductivity Estimation. arXiv (Cornell University). 6 indexed citations
6.
Brochier, Thomas, et al.. (2018). Brain–computer interaction for online enhancement of visuospatial attention performance. Journal of Neural Engineering. 15(4). 46017–46017. 1 indexed citations
7.
Soriani, Marie‐Hélène, et al.. (2017). Brain computer interface with the P300 speller: Usability for disabled people with amyotrophic lateral sclerosis. Annals of Physical and Rehabilitation Medicine. 61(1). 5–11. 87 indexed citations
8.
Clerc, Maureen, Laurent Bougrain, & Fabien Lotte. (2016). Les interfaces cerveau-ordinateur 1.
9.
Thomas, Eoin, et al.. (2013). Combining ERD and ERS features to create a system-paced BCI. Journal of Neuroscience Methods. 216(2). 96–103. 12 indexed citations
10.
Carpentier, Alexandra, et al.. (2013). Automatic motor task selection via a bandit algorithm for a brain-controlled button. Journal of Neural Engineering. 10(1). 16012–16012. 9 indexed citations
11.
Olivi, Emmanuel, Théodore Papadopoulo, & Maureen Clerc. (2011). Handling white-matter anisotropy in BEM for the EEG forward problem. HAL (Le Centre pour la Communication Scientifique Directe). 799–802. 5 indexed citations
12.
Teo, Stephen, Maureen Clerc, & Maria Carmen Galang. (2011). Human capital enhancing HRM systems and frontline employees in Australian manufacturing SMEs. The International Journal of Human Resource Management. 22(12). 2522–2538. 56 indexed citations
13.
Gramfort, Alexandre, Emmanuel Olivi, & Maureen Clerc. (2010). OpenMEEG for M/EEG forward modeling: a comparison study. Human Brain Mapping. 2 indexed citations
14.
Papadopoulo, Théodore, et al.. (2008). The adjoint method for general EEG and MEG sensor-based lead field equations. Physics in Medicine and Biology. 54(1). 135–147. 17 indexed citations
15.
Bénar, Christian, et al.. (2008). Consensus Matching Pursuit of Multi-Trial Biosignals, with Application to Brain Signals. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
16.
Kybic, Jan, Maureen Clerc, Olivier Faugeras, Renaud Keriven, & Théodore Papadopoulo. (2006). Fast Multipole Method for the Symmetric Boundary Element Method in MEG/EEG. Clinical and Translational Radiation Oncology. 13. 34–18.
17.
Kybic, Jan, Maureen Clerc, Olivier Faugeras, Renaud Keriven, & Théodore Papadopoulo. (2006). Generalized head models for MEG/EEG: boundary element method beyond nested volumes. Physics in Medicine and Biology. 51(5). 1333–1346. 51 indexed citations
18.
Kybic, Jan, Maureen Clerc, Olivier Faugeras, Renaud Keriven, & Théodore Papadopoulo. (2005). Fast multipole acceleration of the MEG/EEG boundary element method. Physics in Medicine and Biology. 50(19). 4695–4710. 40 indexed citations
19.
Faugeras, Olivier, Guillaume Charpiat, Christophe Chefd’hotel, et al.. (2004). Variational, geometric, and statistical methods for modeling brain anatomy and function. NeuroImage. 23. S46–S55. 13 indexed citations
20.
Clerc, Maureen, et al.. (2003). Symmetric BEM Formulation for the M/EEG Forward Problem. Lecture notes in computer science. 18. 524–535. 20 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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