Hubert Banville

765 total citations
16 papers, 373 citations indexed

About

Hubert Banville is a scholar working on Cognitive Neuroscience, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Hubert Banville has authored 16 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 6 papers in Signal Processing and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Hubert Banville's work include EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (7 papers) and Blind Source Separation Techniques (5 papers). Hubert Banville is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (7 papers) and Blind Source Separation Techniques (5 papers). Hubert Banville collaborates with scholars based in Canada, France and Finland. Hubert Banville's co-authors include Tiago H. Falk, Alexandre Gramfort, Denis A. Engemann, Aapo Hyvärinen, Rishabh Gupta, Raymundo Cassani, Isabela Albuquerque, Richard Höchenberger, Sean U. N. Wood and Khalil ur Rehman Laghari and has published in prestigious journals such as Nature Communications, NeuroImage and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Hubert Banville

16 papers receiving 365 citations

Peers

Hubert Banville
A. Saidatul Malaysia
Chong Liu China
Wonjun Ko South Korea
Elnaz Lashgari United States
Maria V. Ruiz-Blondet United States
Hubert Banville
Citations per year, relative to Hubert Banville Hubert Banville (= 1×) peers Phattarapong Sawangjai

Countries citing papers authored by Hubert Banville

Since Specialization
Citations

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

Fields of papers citing papers by Hubert Banville

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hubert Banville

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

All Works

16 of 16 papers shown
1.
d’Ascoli, Stéphane, et al.. (2025). Towards decoding individual words from non-invasive brain recordings. Nature Communications. 16(1). 10521–10521. 1 indexed citations
2.
Banville, Hubert, Maurice Abou Jaoude, Sean U. N. Wood, et al.. (2024). Do try this at home: Age prediction from sleep and meditation with large-scale low-cost mobile EEG. Imaging Neuroscience. 2. 1 indexed citations
3.
Jaoude, Maurice Abou, et al.. (2023). Automated Sleep Staging on Wearable EEG Enables Sleep Analysis at Scale. 1–4. 6 indexed citations
4.
Engemann, Denis A., Richard Höchenberger, Hubert Banville, et al.. (2022). A reusable benchmark of brain-age prediction from M/EEG resting-state signals. NeuroImage. 262. 119521–119521. 40 indexed citations
5.
Banville, Hubert, et al.. (2022). Robust learning from corrupted EEG with dynamic spatial filtering. NeuroImage. 251. 118994–118994. 22 indexed citations
6.
Gramfort, Alexandre, et al.. (2021). Learning with self-supervision on EEG data. 1–2. 7 indexed citations
7.
Chevallier, Sylvain, et al.. (2021). alexandrebarachant/muse-lsl: Muse LSL v2.1 with adaptive timestamp correction, hcitool workaround, configurable device presets, and more bugfixes. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Banville, Hubert, et al.. (2020). Uncovering the structure of clinical EEG signals with self-supervised\n learning. arXiv (Cornell University). 133 indexed citations
9.
Banville, Hubert, et al.. (2019). Deep learning-based electroencephalography analysis: a systematic review. Journal of Neural Engineering. 16(5). 51001–51001. 26 indexed citations
10.
Banville, Hubert, Isabela Albuquerque, Aapo Hyvärinen, et al.. (2019). Self-Supervised Representation Learning from Electroencephalography Signals. arXiv (Cornell University). 1–6. 1 indexed citations
11.
Banville, Hubert, Rishabh Gupta, & Tiago H. Falk. (2017). Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces. Computational Intelligence and Neuroscience. 2017. 1–24. 22 indexed citations
13.
Gupta, Rishabh, Hubert Banville, & Tiago H. Falk. (2016). Multimodal Physiological Quality-of-Experience Assessment of Text-to-Speech Systems. IEEE Journal of Selected Topics in Signal Processing. 11(1). 22–36. 13 indexed citations
14.
Gupta, Rishabh, Khalil ur Rehman Laghari, Hubert Banville, & Tiago H. Falk. (2016). Using affective brain-computer interfaces to characterize human influential factors for speech quality-of-experience perception modelling. Human-centric Computing and Information Sciences. 6(1). 20 indexed citations
15.
Gupta, Rishabh, Hubert Banville, & Tiago H. Falk. (2015). PhySyQX: A database for physiological evaluation of synthesised speech quality-of-experience. 35. 1–5. 10 indexed citations
16.
Cassani, Raymundo, Hubert Banville, & Tiago H. Falk. (2015). MuLES. 9–12. 25 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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