Rémi de Fleurian

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Marcus PearceQueen Mary University of LondonVerified email at qmul.ac.uk
Oded Ben-TalKingston UniversityVerified email at kingston.ac.uk
Daniel MüllensiefenProfessor, Department of Psychology, Goldsmiths, University of LondonVerified email at gold.ac.uk
Peter M. C. HarrisonUniversity of CambridgeVerified email at cam.ac.uk
David Ricardo Quiroga-MartinezUniversity of Copenhagen & UC BerkeleyVerified email at psy.ku.dk

Rémi de Fleurian

Data Scientist at Spotify

Verified email at spotify.com - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Chills in Music: A Systematic Review R de Fleurian, MT Pearce Psychological Bulletin 147 (9), 890–920, 2021	39*	2021
Information‐Theoretic Measures Predict the Human Judgment of Rhythm Complexity R de Fleurian, T Blackwell, O Ben‐Tal, D Müllensiefen Cognitive Science 41 (3), 800–813, 2017	20	2017
The Relationship Between Valence and Chills in Music: A Corpus Analysis R de Fleurian, MT Pearce i-Perception 12 (4), 1–11, 2021	6	2021
Reward Prediction Tells Us Less Than Expected About Musical Pleasure R de Fleurian, PMC Harrison, MT Pearce, DR Quiroga-Martinez Proceedings of the National Academy of Sciences 116 (42), 20813–20814, 2019	5	2019
Expectation Elicits Music-Evoked Chills R de Fleurian, A Clemente, E Benetos, MT Pearce bioRxiv, 2024		2024
Modelling Chills in Music R de Fleurian Queen Mary University of London, 2022		2022

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