Pieter‐Jan Maes

1.4k total citations
42 papers, 836 citations indexed

About

Pieter‐Jan Maes is a scholar working on Cognitive Neuroscience, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pieter‐Jan Maes has authored 42 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 19 papers in Social Psychology and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pieter‐Jan Maes's work include Neuroscience and Music Perception (27 papers), Action Observation and Synchronization (17 papers) and Music Technology and Sound Studies (15 papers). Pieter‐Jan Maes is often cited by papers focused on Neuroscience and Music Perception (27 papers), Action Observation and Synchronization (17 papers) and Music Technology and Sound Studies (15 papers). Pieter‐Jan Maes collaborates with scholars based in Belgium, Canada and Austria. Pieter‐Jan Maes's co-authors include Marc Leman, Marcelo M. Wanderley, Caroline Palmėr, Micheline Lesaffre, Edith Van Dyck, Bart Moens, Jan Stupacher, Guilherme Wood, Matthias Witte and Peter Feys and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Pieter‐Jan Maes

40 papers receiving 798 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pieter‐Jan Maes Belgium 18 595 328 231 146 137 42 836
Birgitta Burger Finland 15 555 0.9× 286 0.9× 192 0.8× 137 0.9× 232 1.7× 45 809
Yi-Huang Su Germany 11 955 1.6× 344 1.0× 127 0.5× 89 0.6× 351 2.6× 16 1.1k
Matthew Rodger United Kingdom 17 455 0.8× 195 0.6× 81 0.4× 56 0.4× 97 0.7× 37 677
Marc R. Thompson Finland 15 743 1.2× 279 0.9× 281 1.2× 191 1.3× 268 2.0× 35 876
Bart Moens Belgium 15 343 0.6× 147 0.4× 85 0.4× 53 0.4× 36 0.3× 31 521
Jason Musil United Kingdom 5 731 1.2× 236 0.7× 81 0.4× 249 1.7× 194 1.4× 5 831
Geoff Luck Finland 16 842 1.4× 364 1.1× 330 1.4× 232 1.6× 311 2.3× 41 1.0k
Amandine Penel France 7 699 1.2× 187 0.6× 83 0.4× 83 0.6× 318 2.3× 12 757
Bettina Bläsing Germany 17 440 0.7× 388 1.2× 47 0.2× 23 0.2× 250 1.8× 34 819
Manfred Nusseck Germany 15 296 0.5× 147 0.4× 123 0.5× 171 1.2× 177 1.3× 42 693

Countries citing papers authored by Pieter‐Jan Maes

Since Specialization
Citations

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

Fields of papers citing papers by Pieter‐Jan Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pieter‐Jan Maes. 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 Pieter‐Jan Maes. The network helps show where Pieter‐Jan Maes may publish in the future.

Co-authorship network of co-authors of Pieter‐Jan Maes

This figure shows the co-authorship network connecting the top 25 collaborators of Pieter‐Jan Maes. A scholar is included among the top collaborators of Pieter‐Jan Maes 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 Pieter‐Jan Maes. Pieter‐Jan Maes 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.
Maes, Pieter‐Jan, et al.. (2024). Individual differences in music-induced interpersonal synchronization and self–other integration: the role of creativity and empathy. Royal Society Open Science. 11(11). 240654–240654.
2.
Aguilera, Ana M., et al.. (2023). Cholinergic‐related pupil activity reflects level of emotionality during motor performance. European Journal of Neuroscience. 59(9). 2193–2207. 9 indexed citations
3.
Maes, Pieter‐Jan, et al.. (2023). From capture to texture: affective environments for theatre training in virtual reality (VR). Ghent University Academic Bibliography (Ghent University). 9(1-2). 52–73. 1 indexed citations
4.
Bouckaert, L., et al.. (2023). Concert experiences in virtual reality environments. Virtual Reality. 27(3). 2383–2396. 24 indexed citations
5.
Schiavio, Andrea, Pieter‐Jan Maes, & Dylan van der Schyff. (2021). The dynamics of musical participation. Musicae Scientiae. 26(3). 604–626. 18 indexed citations
6.
Vuoskoski, Jonna K., et al.. (2021). Livestream Experiments: The Role of COVID-19, Agency, Presence, and Social Context in Facilitating Social Connectedness. Frontiers in Psychology. 12. 647929–647929. 42 indexed citations
7.
Moumdjian, Lousin, Pieter‐Jan Maes, Simone Dalla Bella, et al.. (2020). Detrended fluctuation analysis of gait dynamics when entraining to music and metronomes at different tempi in persons with multiple sclerosis. Scientific Reports. 10(1). 12934–12934. 18 indexed citations
8.
Maes, Pieter‐Jan, et al.. (2020). The influence of performing gesture type on interpersonal musical timing, and the role of visual contact and tempo. Acta Psychologica. 210. 103166–103166. 6 indexed citations
9.
Moumdjian, Lousin, Bart Moens, Pieter‐Jan Maes, et al.. (2019). Continuous 12 min walking to music, metronomes and in silence: Auditory-motor coupling and its effects on perceived fatigue, motivation and gait in persons with multiple sclerosis. Multiple Sclerosis and Related Disorders. 35. 92–99. 28 indexed citations
10.
Marchant, Thierry, et al.. (2019). The sonic instructor: A music-based biofeedback system for improving weightlifting technique. PLoS ONE. 14(8). e0220915–e0220915. 8 indexed citations
11.
12.
Maes, Pieter‐Jan, et al.. (2018). A biofeedback music-sonification system for gait retraining. Ghent University Academic Bibliography (Ghent University). 1–5. 10 indexed citations
13.
Maes, Pieter‐Jan, Jeska Buhmann, & Marc Leman. (2016). 3Mo: A Model for Music-Based Biofeedback. Frontiers in Neuroscience. 10. 548–548. 25 indexed citations
14.
Leman, Marc & Pieter‐Jan Maes. (2015). The Role of Embodiment in the Perception of Music. SHILAP Revista de lepidopterología. 9(3-4). 236–246. 94 indexed citations
15.
Maes, Pieter‐Jan, et al.. (2015). The impact of cognitive load on operatic singers' timing performance. Frontiers in Psychology. 6. 429–429. 2 indexed citations
16.
Maes, Pieter‐Jan, et al.. (2015). Auditory and motor contributions to the timing of melodies under cognitive load.. Journal of Experimental Psychology Human Perception & Performance. 41(5). 1336–1352. 11 indexed citations
17.
Maes, Pieter‐Jan, Marcelo M. Wanderley, & Caroline Palmėr. (2014). The role of working memory in the temporal control of discrete and continuous movements. Experimental Brain Research. 233(1). 263–273. 31 indexed citations
18.
Maes, Pieter‐Jan, Marc Leman, Caroline Palmėr, & Marcelo M. Wanderley. (2014). Action-based effects on music perception. Frontiers in Psychology. 4. 1008–1008. 164 indexed citations
19.
Maes, Pieter‐Jan, Edith Van Dyck, Micheline Lesaffre, Marc Leman, & Pieter M. Kroonenberg. (2014). The Coupling of Action and Perception in Musical Meaning Formation. Music Perception An Interdisciplinary Journal. 32(1). 67–84. 21 indexed citations
20.
Maes, Pieter‐Jan, et al.. (2012). The “Conducting Master”: An Interactive, Real-Time Gesture Monitoring System Based on Spatiotemporal Motion Templates. International Journal of Human-Computer Interaction. 29(7). 471–487. 9 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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