The musicality of non-musicians: An index for assessing musical sophistication in the general population D Müllensiefen, B Gingras, J Musil, L Stewart PloS one 9 (2), e89642, 2014 | 777 | 2014 |
How do “earworms” start? Classifying the everyday circumstances of Involuntary Musical Imagery VJ Williamson, SR Jilka, J Fry, S Finkel, D Müllensiefen, L Stewart Psychology of Music 40 (3), 259-284, 2012 | 148 | 2012 |
The role of expectation and probabilistic learning in auditory boundary perception: A model comparison MT Pearce, D Müllensiefen, GA Wiggins Perception 39 (10), 1367-1391, 2010 | 129 | 2010 |
Cognitive adequacy in the measurement of melodic similarity: Algorithmic vs. human judgments D Müllensiefen, K Frieler Computing in Musicology 13 (2003), 147-176, 2004 | 123 | 2004 |
Effects of timbre and tempo change on memory for music AR Halpern, D Müllensiefen Quarterly Journal of Experimental Psychology 61 (9), 1371-1384, 2008 | 107 | 2008 |
Der Gold-MSI: Replikation und Validierung eines Fragebogeninstrumentes zur Messung Musikalischer Erfahrenheit anhand einer deutschen Stichprobe NK Schaal, AKR Bauer, D Müllensiefen Musicae Scientiae 18 (4), 423-447, 2014 | 91 | 2014 |
Computational modeling of music cognition and musical creativity GA Wiggins, MT Pearce, D Müllensiefen na, 2009 | 82 | 2009 |
How do artistic creative activities regulate our emotions? Validation of the Emotion Regulation Strategies for Artistic Creative Activities Scale (ERS-ACA) D Fancourt, C Garnett, N Spiro, R West, D Müllensiefen PloS one 14 (2), e0211362, 2019 | 79 | 2019 |
Dissecting an earworm: Melodic features and song popularity predict involuntary musical imagery. K Jakubowski, S Finkel, L Stewart, D Müllensiefen Psychology of Aesthetics, Creativity, and the Arts 11 (2), 122, 2017 | 74 | 2017 |
Classification in music research C Weihs, U Ligges, F Mörchen, D Müllensiefen Advances in Data Analysis and Classification 1 (3), 255-291, 2007 | 73 | 2007 |
A Comparison of Statistical and Rule-Based Models of Melodic Segmentation. MT Pearce, D Müllensiefen, GA Wiggins ISMIR, 89-94, 2008 | 66 | 2008 |
On the non-existence of music: Why music theory is a figment of the imagination GA Wiggins, D Müllensiefen, MT Pearce Musicae Scientiae 14 (1_suppl), 231-255, 2010 | 65 | 2010 |
Personality predicts musical sophistication DM Greenberg, D Müllensiefen, ME Lamb, PJ Rentfrow Journal of Research in Personality 58, 154-158, 2015 | 64 | 2015 |
Melodic grouping in music information retrieval: New methods and applications MT Pearce, D Müllensiefen, GA Wiggins Advances in music information retrieval, 364-388, 2010 | 63 | 2010 |
Metacognitive ability correlates with hippocampal and prefrontal microstructure M Allen, JC Glen, D Müllensiefen, DS Schwarzkopf, F Fardo, D Frank, ... Neuroimage 149, 415-423, 2017 | 62 | 2017 |
The music that helps people sleep and the reasons they believe it works: A mixed methods analysis of online survey reports T Trahan, SJ Durrant, D Müllensiefen, VJ Williamson PloS one 13 (11), e0206531, 2018 | 56 | 2018 |
The involuntary musical imagery scale (IMIS). GA Floridou, VJ Williamson, L Stewart, D Müllensiefen Psychomusicology: Music, Mind, and Brain 25 (1), 28, 2015 | 54 | 2015 |
The Goldsmiths Musical Sophistication Index (Gold-MSI): Technical Report and Documentation v0. 9 D Müllensiefen, B Gingras, L Stewart, J Musil London: Goldsmiths, University of London, 2011 | 54 | 2011 |
Court decisions on music plagiarism and the predictive value of similarity algorithms D Müllensiefen, M Pendzich Musicae Scientiae 13 (1_suppl), 257-295, 2009 | 52 | 2009 |
Investigating the importance of self-theories of intelligence and musicality for students' academic and musical achievement D Müllensiefen, P Harrison, F Caprini, A Fancourt Frontiers in psychology 6, 1702, 2015 | 50 | 2015 |