Stéphane Bonnet

3.5k total citations · 2 hit papers
78 papers, 2.2k citations indexed

About

Stéphane Bonnet is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Stéphane Bonnet has authored 78 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 21 papers in Biomedical Engineering and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Stéphane Bonnet's work include EEG and Brain-Computer Interfaces (26 papers), Neuroscience and Neural Engineering (12 papers) and Non-Invasive Vital Sign Monitoring (11 papers). Stéphane Bonnet is often cited by papers focused on EEG and Brain-Computer Interfaces (26 papers), Neuroscience and Neural Engineering (12 papers) and Non-Invasive Vital Sign Monitoring (11 papers). Stéphane Bonnet collaborates with scholars based in France, Australia and Germany. Stéphane Bonnet's co-authors include Alexandre Barachant, Marco Congedo, Christian Jutten, Raphaëlle N. Roy, Christian Jutten, Sylvie Charbonnier, Laurent Vercueil, Jean‐François Payen, Sébastien Mirek and Arnaud Sors and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Stéphane Bonnet

71 papers receiving 2.1k citations

Hit Papers

Multiclass Brain–Computer Interface Classification by Rie... 2011 2026 2016 2021 2011 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Bonnet France 20 1.4k 403 392 335 284 78 2.2k
Martin Bogdan Germany 27 1.9k 1.4× 785 1.9× 351 0.9× 352 1.1× 342 1.2× 103 2.6k
Yangsong Zhang China 32 2.3k 1.7× 650 1.6× 313 0.8× 388 1.2× 365 1.3× 100 3.1k
Po‐Lei Lee Taiwan 27 1.3k 1.0× 516 1.3× 401 1.0× 253 0.8× 254 0.9× 97 2.2k
Peiyang Li China 27 1.7k 1.2× 356 0.9× 359 0.9× 227 0.7× 266 0.9× 75 2.3k
David Looney United Kingdom 23 1.3k 0.9× 370 0.9× 385 1.0× 160 0.5× 382 1.3× 51 2.1k
Muhammad Tariq Sadiq China 28 1.2k 0.9× 270 0.7× 462 1.2× 275 0.8× 358 1.3× 67 2.3k
Syed Umar Amin Saudi Arabia 24 1.2k 0.9× 451 1.1× 265 0.7× 526 1.6× 360 1.3× 47 2.8k
Ramaswamy Palaniappan United Kingdom 30 1.9k 1.4× 502 1.2× 232 0.6× 196 0.6× 645 2.3× 139 2.7k
Sung Chan Jun South Korea 26 1.9k 1.4× 765 1.9× 415 1.1× 556 1.7× 243 0.9× 123 2.9k
Robin Tibor Schirrmeister Germany 9 2.2k 1.6× 650 1.6× 205 0.5× 538 1.6× 435 1.5× 18 2.5k

Countries citing papers authored by Stéphane Bonnet

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Bonnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Bonnet

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Bonnet. A scholar is included among the top collaborators of Stéphane Bonnet 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 Stéphane Bonnet. Stéphane Bonnet 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.
Bonnet, Stéphane, et al.. (2024). Enhancing Automotive User Experience With Dynamic Service Orchestration for Software Defined Vehicles. IEEE Transactions on Intelligent Transportation Systems. 26(1). 824–834.
2.
Bonnet, Stéphane, et al.. (2024). A deep learning workflow to generate free-form masks for grayscale lithography. SPIRE - Sciences Po Institutional REpository. 32–32.
4.
Fay, Aurélien, et al.. (2023). 3D SEM metrology of microstructures for high volume manufacturing. SPIRE - Sciences Po Institutional REpository. 32. 26–26. 1 indexed citations
5.
Bonnet, Stéphane, Thomas Costecalde, Vincent Auboiroux, et al.. (2021). Long-term stability of the chronic epidural wireless recorder WIMAGINE in tetraplegic patients. Journal of Neural Engineering. 18(5). 56026–56026. 19 indexed citations
6.
Zheng, Fei, Florence Forbes, Stéphane Bonnet, et al.. (2019). Characterization of Daily Glycemic Variability in Subjects with Type 1 Diabetes Using a Mixture of Metrics. Diabetes Technology & Therapeutics. 22(4). 301–313. 1 indexed citations
7.
Wojtusciszyn, Anne, Florence Forbes, Stéphane Bonnet, et al.. (2019). Glycemic variability indices can be used to diagnose islet transplantation success in type 1 diabetic patients. Acta Diabetologica. 57(3). 335–345. 3 indexed citations
8.
Sauter-Starace, Fabien, David Ratel, Thomas Costecalde, et al.. (2019). Long-Term Sheep Implantation of WIMAGINE®, a Wireless 64-Channel Electrocorticogram Recorder. Frontiers in Neuroscience. 13. 847–847. 18 indexed citations
9.
Ugalde, Hector M. Romero, Maéva Doron, Pierre Jallon, et al.. (2017). An original piecewise model for computing energy expenditure from accelerometer and heart rate signals. Physiological Measurement. 38(8). 1599–1615. 9 indexed citations
10.
Charbonnier, Sylvie, et al.. (2016). Estimation of Working Memory Load using EEG Connectivity Measures. 122–128. 7 indexed citations
11.
Guiraud, David, David Andreu, Stéphane Bonnet, et al.. (2016). Vagus nerve stimulation: state of the art of stimulation and recording strategies to address autonomic function neuromodulation. Journal of Neural Engineering. 13(4). 41002–41002. 67 indexed citations
12.
Roy, Raphaëlle N., Stéphane Bonnet, Sylvie Charbonnier, & Aurélie Campagne. (2016). Efficient Workload Classification based on Ignored Auditory Probes: A Proof of Concept. Frontiers in Human Neuroscience. 10. 519–519. 23 indexed citations
13.
Gentaz, Édouard, Sylvain Harquel, Laurent Vercueil, et al.. (2014). Brain Processing of Emotional Scenes in Aging: Effect of Arousal and Affective Context. PLoS ONE. 9(6). e99523–e99523. 18 indexed citations
14.
Raffin, Estelle, Stéphane Bonnet, & Pascal Giraux. (2011). Concurrent validation of a magnetometer-based step counter in various walking surfaces. Gait & Posture. 35(1). 18–22. 8 indexed citations
16.
Becq, Guillaume, et al.. (2010). Classification of epileptic motor manifestations using inertial and magnetic sensors. Computers in Biology and Medicine. 41(1). 46–55. 27 indexed citations
17.
Bonnet, Stéphane, et al.. (2007). Wavelet-based scale-dependent detection of neurological action potentials. Conference proceedings. 2007. 1888–1891. 2 indexed citations
18.
Bonnet, Stéphane, et al.. (2005). Evaluation of postural stability by means of a single inertial sensor. PubMed. 3. 2275–2278. 8 indexed citations
19.
Bonnet, Stéphane, Françoise Peyrin, Francis Turjman, & R. Prost. (2002). Multiresolution reconstruction in fan-beam tomography. IEEE Transactions on Image Processing. 11(3). 169–176. 32 indexed citations
20.
Bonnet, Stéphane, Françoise Peyrin, Francis Turjman, & R. Prost. (2000). Tomographic reconstruction using nonseparable wavelets. IEEE Transactions on Image Processing. 9(8). 1445–1450. 19 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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