Louis Mayaud

841 total citations
21 papers, 523 citations indexed

About

Louis Mayaud is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Louis Mayaud has authored 21 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Cardiology and Cardiovascular Medicine and 4 papers in Surgery. Recurrent topics in Louis Mayaud's work include EEG and Brain-Computer Interfaces (8 papers), Heart Rate Variability and Autonomic Control (5 papers) and Neuroscience and Neural Engineering (3 papers). Louis Mayaud is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Heart Rate Variability and Autonomic Control (5 papers) and Neuroscience and Neural Engineering (3 papers). Louis Mayaud collaborates with scholars based in France, United States and United Kingdom. Louis Mayaud's co-authors include Marco Congedo, Quentin Barthélemy, Leo Anthony Celi, Roger G. Mark, G.B. Moody, Gari D. Clifford, Alistair E. W. Johnson, Djillali Annane, Ryan P. Adams and Li-wei H. Lehman and has published in prestigious journals such as Critical Care Medicine, Science Translational Medicine and Clinical Neurophysiology.

In The Last Decade

Louis Mayaud

21 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Louis Mayaud France 14 202 139 81 73 70 21 523
Abigail Flower United States 7 233 1.2× 47 0.3× 65 0.8× 68 0.9× 69 1.0× 13 460
Wendong Ge United States 12 200 1.0× 105 0.8× 44 0.5× 55 0.8× 154 2.2× 30 447
Scott L. Fleming United States 13 161 0.8× 251 1.8× 27 0.3× 50 0.7× 32 0.5× 27 734
Elie Bou Assi Canada 11 356 1.8× 123 0.9× 72 0.9× 15 0.2× 169 2.4× 46 708
Derek Beaton Canada 14 123 0.6× 61 0.4× 53 0.7× 55 0.8× 76 1.1× 55 579
Shyam Vasudeva Rao Netherlands 15 377 1.9× 66 0.5× 127 1.6× 44 0.6× 137 2.0× 33 831
Felip Miralles Spain 12 260 1.3× 39 0.3× 27 0.3× 59 0.8× 18 0.3× 52 545
S. Dinesh Nayak India 7 280 1.4× 34 0.2× 72 0.9× 188 2.6× 121 1.7× 16 612
Marcelo Risk Argentina 15 100 0.5× 29 0.2× 266 3.3× 38 0.5× 25 0.4× 70 726
Shiqiang Tao United States 10 408 2.0× 176 1.3× 81 1.0× 10 0.1× 42 0.6× 37 860

Countries citing papers authored by Louis Mayaud

Since Specialization
Citations

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

Fields of papers citing papers by Louis Mayaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Louis Mayaud

This figure shows the co-authorship network connecting the top 25 collaborators of Louis Mayaud. A scholar is included among the top collaborators of Louis Mayaud 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 Louis Mayaud. Louis Mayaud 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.
Mayaud, Louis, et al.. (2020). Correction to: Alpha-phase synchrony EEG training for multi-resistant chronic low back pain patients: an open-label pilot stud. European Spine Journal. 30(2). 596–596. 1 indexed citations
2.
Mayaud, Louis, et al.. (2019). Alpha-phase synchrony EEG training for multi-resistant chronic low back pain patients: an open-label pilot study. European Spine Journal. 28(11). 2487–2501. 23 indexed citations
3.
Congedo, Marco, et al.. (2019). Clinical and Experimental Factors Influencing the Efficacy of Neurofeedback in ADHD: A Meta-Analysis. Frontiers in Psychiatry. 10. 35–35. 40 indexed citations
4.
Bioulac, Stéphanie, Diane Purper‐Ouakil, Tomas Ros, et al.. (2019). Personalized at-home neurofeedback compared with long-acting methylphenidate in an european non-inferiority randomized trial in children with ADHD. BMC Psychiatry. 19(1). 237–237. 19 indexed citations
5.
Barthélemy, Quentin, Stéphanie Bioulac, Hilario Blasco-Fontecilla, et al.. (2019). Is there a cluster of high theta-beta ratio patients in attention deficit hyperactivity disorder?. Clinical Neurophysiology. 130(8). 1387–1396. 20 indexed citations
6.
Barthélemy, Quentin, et al.. (2019). The Riemannian Potato Field: A Tool for Online Signal Quality Index of EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(2). 244–255. 27 indexed citations
7.
Aboab, Jérôme, et al.. (2018). Esmolol indirectly stimulates vagal nerve activity in endotoxemic pigs. Intensive Care Medicine Experimental. 6(1). 14–14. 6 indexed citations
8.
Barthélemy, Quentin, Louis Mayaud, Yann Renard, et al.. (2017). Online denoising of eye-blinks in electroencephalography. Neurophysiologie Clinique. 47(5-6). 371–391. 20 indexed citations
9.
Aboab, Jérôme, Leo Anthony Celi, Peter Charlton, et al.. (2016). A “datathon” model to support cross-disciplinary collaboration. Science Translational Medicine. 8(333). 333ps8–333ps8. 52 indexed citations
10.
11.
Lehman, Li-wei H., Ryan P. Adams, Louis Mayaud, et al.. (2014). A Physiological Time Series Dynamics-Based Approach toPatient Monitoring and Outcome Prediction. PMC. 2 indexed citations
12.
Badawi, Omar, Thomas P. Brennan, Leo Anthony Celi, et al.. (2014). Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference. JMIR Medical Informatics. 2(2). e22–e22. 65 indexed citations
13.
Badawi, Omar, Leo Anthony Celi, Mengling Feng, et al.. (2014). Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference. DSpace@MIT (Massachusetts Institute of Technology). 19 indexed citations
14.
Mayaud, Louis, Peggy S. Lai, Gari D. Clifford, et al.. (2013). Dynamic Data During Hypotensive Episode Improves Mortality Predictions Among Patients With Sepsis and Hypotension*. Critical Care Medicine. 41(4). 954–962. 41 indexed citations
15.
Mayaud, Louis, et al.. (2013). Robust Brain-computer Interface for virtual Keyboard (RoBIK): Project results. IRBM. 34(2). 131–138. 11 indexed citations
16.
Mayaud, Louis, et al.. (2013). A comparison of recording modalities of P300 event-related potentials (ERP) for brain-computer interface (BCI) paradigm. Neurophysiologie Clinique. 43(4). 217–227. 44 indexed citations
17.
Mayaud, Louis, Michèle Lejaille, Hélène Prigent, et al.. (2013). An open-source software for automatic calculation of respiratory parameters based on esophageal pressure. Respiratory Physiology & Neurobiology. 192. 1–6. 10 indexed citations
18.
Mayaud, Louis, Lionel Tarassenko, Djillali Annane, & Gari D. Clifford. (2013). Predictive power of heart rate complexity to estimate severity in severe sepsis patients. Journal of Critical Care. 28(6). e37–e37. 3 indexed citations
19.
Johnson, Alistair E. W., et al.. (2012). Patient specific predictions in the intensive care unit using a Bayesian ensemble. Oxford University Research Archive (ORA) (University of Oxford). 39. 249–252. 31 indexed citations
20.
Johnson, Alistair E. W., et al.. (2012). 2012 COMPUTING IN CARDIOLOGY (CINC), VOL 39. 7 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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