Benoît G. Bardy

6.4k total citations
161 papers, 4.5k citations indexed

About

Benoît G. Bardy is a scholar working on Cognitive Neuroscience, Social Psychology and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Benoît G. Bardy has authored 161 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Cognitive Neuroscience, 65 papers in Social Psychology and 47 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Benoît G. Bardy's work include Action Observation and Synchronization (61 papers), Motor Control and Adaptation (56 papers) and Balance, Gait, and Falls Prevention (46 papers). Benoît G. Bardy is often cited by papers focused on Action Observation and Synchronization (61 papers), Motor Control and Adaptation (56 papers) and Balance, Gait, and Falls Prevention (46 papers). Benoît G. Bardy collaborates with scholars based in France, United States and Italy. Benoît G. Bardy's co-authors include Thomas A. Stoffregen, Ludovic Marín, Reinoud J. Bootsma, Randy J. Pagulayan, L. James Smart, Manuel Varlet, Olivier Oullier, William H. Warren, Cédrick T. Bonnet and Simone Dalla Bella and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Benoît G. Bardy

156 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît G. Bardy France 38 2.6k 1.5k 1.4k 624 618 161 4.5k
Thierry Pozzo France 43 3.7k 1.4× 1.8k 1.1× 1.6k 1.2× 190 0.3× 496 0.8× 161 6.0k
Otmar Bock Germany 35 3.0k 1.1× 1.1k 0.7× 949 0.7× 191 0.3× 198 0.3× 189 4.4k
Romeo Chua Canada 43 4.7k 1.8× 1.2k 0.8× 1.1k 0.8× 195 0.3× 488 0.8× 167 6.0k
James R. Lackner United States 42 4.9k 1.8× 1.2k 0.8× 1.8k 1.3× 816 1.3× 505 0.8× 206 7.3k
Dagmar Sternad United States 40 3.8k 1.4× 1.5k 1.0× 1.5k 1.1× 188 0.3× 509 0.8× 167 6.2k
Simon J. Bennett United Kingdom 32 2.0k 0.8× 912 0.6× 434 0.3× 189 0.3× 1.0k 1.7× 142 4.0k
George E. Stelmach United States 51 5.3k 2.0× 1.5k 1.0× 1.7k 1.2× 294 0.5× 412 0.7× 197 8.3k
Alan M. Wing United Kingdom 50 6.6k 2.5× 1.9k 1.2× 1.6k 1.2× 275 0.4× 348 0.6× 208 9.0k
Geert J.P. Savelsbergh Netherlands 42 2.3k 0.9× 1.4k 0.9× 742 0.5× 262 0.4× 1.8k 2.9× 258 6.7k
Charalambos Papaxanthis France 42 3.2k 1.2× 1.5k 1.0× 800 0.6× 93 0.1× 496 0.8× 126 4.5k

Countries citing papers authored by Benoît G. Bardy

Since Specialization
Citations

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

Fields of papers citing papers by Benoît G. Bardy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benoît G. Bardy. 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 Benoît G. Bardy. The network helps show where Benoît G. Bardy may publish in the future.

Co-authorship network of co-authors of Benoît G. Bardy

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît G. Bardy. A scholar is included among the top collaborators of Benoît G. Bardy 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 Benoît G. Bardy. Benoît G. Bardy 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.
Gnecco, Giorgio, Antonio Camurri, Gualtiero Volpe, et al.. (2024). Measuring Cues of Leadership, Cohesion, and Fluidity in Joint Full‐Body Movement to Support Embodied Interaction Design: A Pilot Study. Human Behavior and Emerging Technologies. 2024(1).
2.
Olugbade, Temitayo, Marta Bieńkiewicz, Giulia Barbareschi, et al.. (2022). Human Movement Datasets: An Interdisciplinary Scoping Review. ACM Computing Surveys. 55(6). 1–29. 23 indexed citations
3.
Bardy, Benoît G., et al.. (2022). Modeling Frequency Reduction in Human Groups Performing a Joint Oscillatory Task. Frontiers in Psychology. 12. 753758–753758. 6 indexed citations
4.
Varlet, Manuel, et al.. (2019). Preferred frequency ratios for spontaneous auditory-motor synchronization: Dynamical stability and hysteresis. Acta Psychologica. 196. 33–41. 10 indexed citations
5.
Varlet, Manuel, et al.. (2019). Accent-induced stabilization of spontaneous auditory–motor synchronization. Psychological Research. 84(8). 2196–2209. 9 indexed citations
6.
Bardy, Benoît G., et al.. (2019). Towards an Embodied Signature of Improvisation Skills. Frontiers in Psychology. 10. 2441–2441. 6 indexed citations
7.
Cock, Valérie Cochen De, Dobromir Dotov, Christian Gény, et al.. (2018). Rhythmic abilities and musical training in Parkinson's disease: Do they help?. Annals of Physical and Rehabilitation Medicine. 61. e101–e101. 10 indexed citations
8.
Alderisio, Francesco, Gianfranco Fiore, Robin N. Salesse, Benoît G. Bardy, & Mario di Bernardo. (2016). . arXiv (Cornell University). 45 indexed citations
9.
Dotov, Dobromir, Sophie Bayard, Valérie Cochen De Cock, et al.. (2016). Biologically-variable rhythmic auditory cues are superior to isochronous cues in fostering natural gait variability in Parkinson’s disease. Gait & Posture. 51. 64–69. 56 indexed citations
10.
Gueugnon, Mathieu, et al.. (2015). The acquisition of socio-motor improvisation in the mirror game. Human Movement Science. 46. 117–128. 22 indexed citations
11.
Del-Monte, Jonathan, Stéphane Raffard, Robin N. Salesse, et al.. (2013). Nonverbal expressive behaviour in schizophrenia and social phobia. Psychiatry Research. 210(1). 29–35. 20 indexed citations
12.
Varlet, Manuel, Ludovic Marín, Stéphane Raffard, et al.. (2012). Impairments of Social Motor Coordination in Schizophrenia. PLoS ONE. 7(1). e29772–e29772. 104 indexed citations
13.
Stoffregen, Thomas A., et al.. (2009). Coupling of head and body movement with motion of the audible environment.. Journal of Experimental Psychology Human Perception & Performance. 35(4). 1221–1231. 22 indexed citations
14.
Stoffregen, Thomas A., et al.. (2007). Postural Stabilization of Perceptual But Not Cognitive Performance. Journal of Motor Behavior. 39(2). 126–138. 88 indexed citations
15.
Bardy, Benoît G., Olivier Oullier, Julien Lagarde, & Thomas A. Stoffregen. (2007). On Perturbation and Pattern Coexistence in Postural Coordination Dynamics. Journal of Motor Behavior. 39(4). 326–336. 24 indexed citations
16.
Morice, Antoine H.P., et al.. (2007). Learning new perception–action solutions in virtual ball bouncing. Experimental Brain Research. 181(2). 249–265. 24 indexed citations
17.
Faugloire, Elise, Benoît G. Bardy, & Thomas A. Stoffregen. (2006). Dynamics of Learning New Postural Patterns: Influence on Preexisting Spontaneous Behaviors. Journal of Motor Behavior. 38(4). 299–312. 31 indexed citations
18.
Benguigui, Nicolas, et al.. (2005). Perception–action coupling and expertise in interceptive actions. Human Movement Science. 24(3). 429–445. 55 indexed citations
19.
Bardy, Benoît G.. (2003). Le contrôle visuel des déplacements. Cairn.info. 351–373. 1 indexed citations
20.
Mottet, Denis, Benoît G. Bardy, & Sylvie Athènes. (1994). A Note on Data Smoothing for Movement Analysis: The Relevance of a Nonlinear Method. Journal of Motor Behavior. 26(1). 51–55. 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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