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 | 1225 | 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 | 176 | 2012 |
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 | 167 | 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 | 148 | 2017 |
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 | 144 | 2010 |
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 | 139 | 2014 |
Cognitive adequacy in the measurement of melodic similarity: Algorithmic vs. human judgments D Müllensiefen, K Frieler Computing in Musicology 13 (2003), 147-176, 2004 | 134 | 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 | 131 | 2008 |
Talent development in achievement domains: A psychological framework for within-and cross-domain research F Preckel, J Golle, R Grabner, L Jarvin, A Kozbelt, D Müllensiefen, ... Perspectives on Psychological Science 15 (3), 691-722, 2020 | 121 | 2020 |
Computational modeling of music cognition and musical creativity GA Wiggins, MT Pearce, D Müllensiefen | 94 | 2011 |
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 | 91 | 2018 |
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 | 91 | 2017 |
Personality predicts musical sophistication DM Greenberg, D Müllensiefen, ME Lamb, PJ Rentfrow Journal of Research in Personality 58, 154-158, 2015 | 84 | 2015 |
Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation PMC Harrison, T Collins, D Müllensiefen Scientific Reports 7 (1), 3618, 2017 | 82 | 2017 |
Classification in music research C Weihs, U Ligges, F Mörchen, D Müllensiefen Advances in Data Analysis and Classification 1, 255-291, 2007 | 82 | 2007 |
The involuntary musical imagery scale (IMIS). GA Floridou, VJ Williamson, L Stewart, D Müllensiefen Psychomusicology: Music, Mind, and Brain 25 (1), 28, 2015 | 81 | 2015 |
Development and validation of the computerised adaptive beat alignment test (CA-BAT) PMC Harrison, D Müllensiefen Scientific Reports 8 (1), 12395, 2018 | 79 | 2018 |
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 | 79 | 2015 |
Goldsmiths musical sophistication index (gold-MSI) v1 D Müllensiefen, B Gingras, L Stewart, JJ Musil Goldsmiths Univ. London, London, UK, Tech. Rep, 2013 | 73 | 2013 |
Measuring the facets of musicality: the goldsmiths musical sophistication index (Gold-MSI) D Müllensiefen, B Gingras, J Musil, L Stewart Personality and Individual Differences 60, S35, 2014 | 71 | 2014 |