Jérémie Gaveau

748 total citations
25 papers, 351 citations indexed

About

Jérémie Gaveau is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Developmental and Educational Psychology. According to data from OpenAlex, Jérémie Gaveau has authored 25 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 10 papers in Biomedical Engineering and 7 papers in Developmental and Educational Psychology. Recurrent topics in Jérémie Gaveau's work include Motor Control and Adaptation (17 papers), Muscle activation and electromyography studies (10 papers) and Balance, Gait, and Falls Prevention (5 papers). Jérémie Gaveau is often cited by papers focused on Motor Control and Adaptation (17 papers), Muscle activation and electromyography studies (10 papers) and Balance, Gait, and Falls Prevention (5 papers). Jérémie Gaveau collaborates with scholars based in France, Italy and Canada. Jérémie Gaveau's co-authors include Charalambos Papaxanthis, Bastien Berret, Thierry Pozzo, Dora E. Angelaki, Olivier White, Célia Ruffino, Lionel Bringoux, Frédéric Crevecoeur, Florent Lebon and Christos Païzis and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Jérémie Gaveau

21 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérémie Gaveau France 10 277 119 79 77 62 25 351
Jan M. Hondzinski United States 12 167 0.6× 84 0.7× 118 1.5× 57 0.7× 28 0.5× 30 369
Young Uk Ryu South Korea 13 240 0.9× 109 0.9× 105 1.3× 135 1.8× 81 1.3× 41 454
Gaia Bonassi Italy 13 202 0.7× 73 0.6× 70 0.9× 57 0.7× 37 0.6× 41 433
Leigh A. Mrotek United States 12 300 1.1× 80 0.7× 32 0.4× 52 0.7× 44 0.7× 25 393
Matthew A. Statton United States 8 181 0.7× 138 1.2× 96 1.2× 30 0.4× 39 0.6× 11 315
Nobuyuki Inui Japan 12 313 1.1× 143 1.2× 35 0.4× 129 1.7× 71 1.1× 49 409
Marco Jacono Italy 10 278 1.0× 74 0.6× 77 1.0× 177 2.3× 71 1.1× 18 432
Joohyun Rhee United States 12 217 0.8× 139 1.2× 18 0.2× 112 1.5× 63 1.0× 22 403
Hyosub E. Kim United States 14 479 1.7× 225 1.9× 69 0.9× 265 3.4× 69 1.1× 32 636
Chantal Bard Canada 9 303 1.1× 139 1.2× 123 1.6× 75 1.0× 83 1.3× 10 485

Countries citing papers authored by Jérémie Gaveau

Since Specialization
Citations

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

Fields of papers citing papers by Jérémie Gaveau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérémie Gaveau

This figure shows the co-authorship network connecting the top 25 collaborators of Jérémie Gaveau. A scholar is included among the top collaborators of Jérémie Gaveau 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 Jérémie Gaveau. Jérémie Gaveau 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.
Gaveau, Jérémie, et al.. (2026). Increasing the cognitive demand of upper-limb psychomotor tasks increases the perception of effort. Cognitive Affective & Behavioral Neuroscience.
2.
Guzzo, Antonella, et al.. (2025). Following the robot’s lead: Predicting human and robot movement from EEG in a motor learning HRI task. iScience. 28(7). 112914–112914.
3.
Martin, Alain, et al.. (2024). Local vibration induces changes in spinal and corticospinal excitability in vibrated and antagonist muscles. Journal of Neurophysiology. 131(2). 379–393. 5 indexed citations
5.
Gaveau, Jérémie, et al.. (2024). Deactivation and collective phasic muscular tuning for pointing direction: Insights from machine learning. Heliyon. 10(13). e33461–e33461.
6.
Thomas, Elizabeth, et al.. (2023). Too much information is no information: how machine learning and feature selection could help in understanding the motor control of pointing. Frontiers in Big Data. 6. 921355–921355. 3 indexed citations
7.
Gueugneau, Nicolas, Alain Martin, Jérémie Gaveau, & Charalambos Papaxanthis. (2023). Gravity-efficient motor control is associated with contraction-dependent intracortical inhibition. iScience. 26(7). 107150–107150. 1 indexed citations
8.
Ruffino, Célia, et al.. (2023). Time of day and sleep effects on motor acquisition and consolidation. npj Science of Learning. 8(1). 30–30. 4 indexed citations
9.
Rainville, Pierre, et al.. (2023). Perception of effort and the allocation of physical resources: A generalization to upper-limb motor tasks. Frontiers in Psychology. 13. 974172–974172. 2 indexed citations
10.
Papaxanthis, Charalambos, et al.. (2022). Muscle effort is best minimized by the right-dominant arm in the gravity field. Journal of Neurophysiology. 127(4). 1117–1126. 6 indexed citations
11.
Ruffino, Célia, et al.. (2021). Smoothness Discriminates Physical from Motor Imagery Practice of Arm Reaching Movements. Neuroscience. 483. 24–31. 3 indexed citations
12.
Papaxanthis, Charalambos, et al.. (2021). Movement detection thresholds reveal proprioceptive impairments in developmental dyslexia. Scientific Reports. 11(1). 299–299. 10 indexed citations
13.
Papaxanthis, Charalambos, et al.. (2020). Motor Planning of Vertical Arm Movements in Healthy Older Adults: Does Effort Minimization Persist With Aging?. Frontiers in Aging Neuroscience. 12. 37–37. 8 indexed citations
14.
Ruffino, Célia, Jérémie Gaveau, Charalambos Papaxanthis, & Florent Lebon. (2019). An acute session of motor imagery training induces use-dependent plasticity. Scientific Reports. 9(1). 20002–20002. 28 indexed citations
15.
Gaveau, Jérémie, et al.. (2019). Musculation à haute intensité et paralysie cérébrale : utopie ou révolution ?. 40(2). 30–41. 1 indexed citations
16.
Papaxanthis, Charalambos, et al.. (2016). Initial information prior to movement onset influences kinematics of upward arm pointing movements. Journal of Neurophysiology. 116(4). 1673–1683. 9 indexed citations
17.
Gaveau, Jérémie, Bastien Berret, Dora E. Angelaki, & Charalambos Papaxanthis. (2016). Direction-dependent arm kinematics reveal optimal integration of gravity cues. eLife. 5. 52 indexed citations
18.
Gaveau, Jérémie, Bastien Berret, Laurent Demougeot, et al.. (2013). Energy-related optimal control accounts for gravitational load: comparing shoulder, elbow, and wrist rotations. Journal of Neurophysiology. 111(1). 4–16. 42 indexed citations
19.
Michel, Carine, Jérémie Gaveau, Thierry Pozzo, & Charalambos Papaxanthis. (2012). Prism adaptation by mental practice. Cortex. 49(8). 2249–2259. 16 indexed citations
20.
Gaveau, Jérémie & Charalambos Papaxanthis. (2011). The Temporal Structure of Vertical Arm Movements. PLoS ONE. 6(7). e22045–e22045. 40 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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