Peter Vuust

11.9k total citations · 3 hit papers
234 papers, 6.7k citations indexed

About

Peter Vuust is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Peter Vuust has authored 234 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 197 papers in Cognitive Neuroscience, 73 papers in Social Psychology and 58 papers in Experimental and Cognitive Psychology. Recurrent topics in Peter Vuust's work include Neuroscience and Music Perception (164 papers), Neural dynamics and brain function (61 papers) and Music and Audio Processing (51 papers). Peter Vuust is often cited by papers focused on Neuroscience and Music Perception (164 papers), Neural dynamics and brain function (61 papers) and Music and Audio Processing (51 papers). Peter Vuust collaborates with scholars based in Denmark, United Kingdom and Italy. Peter Vuust's co-authors include Morten L. Kringelbach, Elvira Brattico, Maria A. G. Witek, Mikkel Wallentin, Andreas Roepstorff, Karl Friston, Ivana Konvalinka, Leif Østergaard, Eduardo A. Garza‐Villarreal and Ole Adrian Heggli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Peter Vuust

225 papers receiving 6.6k citations

Hit Papers

Predictive Processes and the Peculiar Case of Music 2014 2026 2018 2022 2018 2014 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Vuust Denmark 44 5.7k 2.1k 1.6k 1.1k 1.1k 234 6.7k
Elvira Brattico Denmark 45 5.4k 0.9× 1.6k 0.8× 1.8k 1.1× 1.1k 1.0× 951 0.8× 182 6.1k
Petri Laukka Sweden 31 3.2k 0.6× 1.7k 0.8× 2.7k 1.7× 780 0.7× 1.4k 1.2× 80 5.7k
Barbara Tillmann France 43 5.7k 1.0× 999 0.5× 1.9k 1.1× 1.1k 1.0× 1.3k 1.2× 207 6.4k
Jessica A. Grahn Canada 29 4.4k 0.8× 956 0.4× 1.6k 1.0× 527 0.5× 512 0.4× 93 5.9k
Claude Alain Canada 61 11.0k 1.9× 871 0.4× 4.2k 2.6× 360 0.3× 783 0.7× 267 12.0k
Erich Schröger Germany 71 15.6k 2.7× 1.6k 0.8× 6.7k 4.2× 797 0.7× 1.5k 1.3× 288 16.6k
István Winkler Hungary 61 13.3k 2.3× 735 0.3× 5.8k 3.6× 659 0.6× 1.9k 1.6× 221 14.2k
Sylvain Moreno Canada 38 3.5k 0.6× 757 0.4× 1.0k 0.6× 925 0.8× 212 0.2× 85 4.6k
Patricia T. Michie Australia 57 7.9k 1.4× 785 0.4× 1.9k 1.2× 278 0.2× 502 0.4× 179 10.3k
Simon Grondin Canada 35 3.8k 0.7× 685 0.3× 2.4k 1.5× 352 0.3× 159 0.1× 186 5.4k

Countries citing papers authored by Peter Vuust

Since Specialization
Citations

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

Fields of papers citing papers by Peter Vuust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Vuust

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Vuust. A scholar is included among the top collaborators of Peter Vuust 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 Peter Vuust. Peter Vuust 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.
Kleber, Boris, et al.. (2025). Association Between Interoceptive Accuracy and Pain Perception: Insights From Trained Musicians and Athletes. European Journal of Pain. 29(5). e70012–e70012. 1 indexed citations
2.
Haumann, Niels Trusbak, et al.. (2025). Embodied Singing: Dual Role of Interoception in Vocal Expertise and Musical Competence. Annals of the New York Academy of Sciences. 1554(1). 187–202.
3.
Fernandes, Henrique M., Eloise Stark, Jakub Vohryzek, et al.. (2025). Creativity in Music: The Brain Dynamics of Jazz Improvisation. Annals of the New York Academy of Sciences. 1553(1). 350–362.
4.
5.
Vuust, Peter, et al.. (2024). Music and Sleep Hygiene Interventions for Pregnancy‐Related Insomnia: An Online Randomized Controlled Trial. Journal of Midwifery & Women s Health. 70(3). 387–395. 2 indexed citations
6.
Spaccavento, Simona, Elvira Brattico, Davide Rivolta, et al.. (2024). Musical and electrical stimulation as intervention in disorder of consciousness (DOC) patients: A randomised cross-over trial. PLoS ONE. 19(5). e0304642–e0304642. 3 indexed citations
7.
Kawase, Satoshi, et al.. (2023). A Review of Psychological and Neuroscientific Research on Musical Groove (2006−2022). PsyArXiv (OSF Preprints). 6 indexed citations
8.
Vuust, Peter, et al.. (2023). Investigating the impact of age on auditory short-term, long-term, and working memory. Psychology of Music. 52(2). 187–198. 6 indexed citations
9.
Bonetti, Leonardo, Tiina Paunio, Katri Kantojärvi, et al.. (2023). Moderate associations between BDNF Val66Met gene polymorphism, musical expertise, and mismatch negativity. Heliyon. 9(5). e15600–e15600. 3 indexed citations
10.
Lumaca, Massimo, Leonardo Bonetti, Elvira Brattico, et al.. (2023). High-fidelity transmission of auditory symbolic material is associated with reduced right–left neuroanatomical asymmetry between primary auditory regions. Cerebral Cortex. 33(11). 6902–6916. 3 indexed citations
11.
Vuust, Peter, et al.. (2022). Associations between abstract working memory abilities and brain activity underlying long-term recognition of auditory sequences. PNAS Nexus. 1(4). pgac216–pgac216. 16 indexed citations
12.
Quiroga‐Martinez, David Ricardo, Barbara Tillmann, Elvira Brattico, et al.. (2022). Enhanced mismatch negativity in harmonic compared with inharmonic sounds. European Journal of Neuroscience. 56(5). 4583–4599. 7 indexed citations
13.
14.
Vuust, Peter, Ole Adrian Heggli, Karl Friston, & Morten L. Kringelbach. (2022). Reply to ‘Towards a cross-cultural framework for predictive coding of music’. Nature reviews. Neuroscience. 23(10). 641–642. 2 indexed citations
15.
Bonetti, Leonardo, Angus Stevner, Megan Hughes, et al.. (2022). A magnetoencephalography study of first-time mothers listening to infant cries. Cerebral Cortex. 33(10). 5896–5905. 4 indexed citations
16.
Heggli, Ole Adrian, Jan Stupacher, & Peter Vuust. (2021). Diurnal fluctuations in musical preference. Royal Society Open Science. 8(11). 210885–210885. 11 indexed citations
17.
Foster, Nicholas Hd, et al.. (2021). The Neuroscience of Dance: A Systematic Review of the Present State of Research and Suggestions for Future Work. PsyArXiv (OSF Preprints). 1 indexed citations
18.
Jespersen, Kira Vibe, Angus Stevner, Henrique M. Fernandes, et al.. (2019). Reduced structural connectivity in Insomnia Disorder. Journal of Sleep Research. 29(1). e12901–e12901. 31 indexed citations
19.
Quiroga‐Martinez, David Ricardo, Niels Chr. Hansen, Andreas Højlund, et al.. (2019). Musical prediction error responses similarly reduced by predictive uncertainty in musicians and non‐musicians. European Journal of Neuroscience. 51(11). 2250–2269. 27 indexed citations
20.
Konvalinka, Ivana, Peter Vuust, Andreas Roepstorff, & Chris Frith. (2009). A Coupled Oscillator Model of Interactive Tapping. Jyväskylä University Digital Archive (University of Jyväskylä). 3 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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