| 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 | 561 | 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 | 132 | 2012 |
| Cognitive adequacy in the measurement of melodic similarity: Algorithmic vs. human judgments D Müllensiefen, K Frieler Computing in Musicology 13 (2003), 147-176, 2004 | 115 | 2004 |
| 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 | 104 | 2010 |
| Effects of timbre and tempo change on memory for music AR Halpern, D Müllensiefen Quarterly Journal of Experimental Psychology 61 (9), 1371-1384, 2008 | 91 | 2008 |
| Computational modeling of music cognition and musical creativity GA Wiggins, MT Pearce, D Müllensiefen na, 2009 | 72 | 2009 |
| 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 | 65 | 2014 |
| Classification in music research C Weihs, U Ligges, F Mörchen, D Müllensiefen Advances in Data Analysis and Classification 1 (3), 255-291, 2007 | 65 | 2007 |
| A Comparison of Statistical and Rule-Based Models of Melodic Segmentation. MT Pearce, D Müllensiefen, GA Wiggins ISMIR, 89-94, 2008 | 56 | 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 | 54 | 2010 |
| Melodic grouping in music information retrieval: New methods and applications MT Pearce, D Müllensiefen, GA Wiggins Advances in music information retrieval, 364-388, 2010 | 54 | 2010 |
| 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 | 51 | 2011 |
| Personality predicts musical sophistication DM Greenberg, D Müllensiefen, ME Lamb, PJ Rentfrow Journal of Research in Personality 58, 154-158, 2015 | 50 | 2015 |
| 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 | 47 | 2017 |
| Optimizing measures of melodic similarity for the exploration of a large folk song database. D Müllensiefen, K Frieler ISMIR, 2004 | 46 | 2004 |
| Court decisions on music plagiarism and the predictive value of similarity algorithms D Müllensiefen, M Pendzich Musicae Scientiae 13 (1_suppl), 257-295, 2009 | 44 | 2009 |
| Modelling experts’ notions of melodic similarity D Müllensiefen, K Frieler Musicae Scientiae 11 (1_suppl), 183-210, 2007 | 43 | 2007 |
| Environmental and mental conditions predicting the experience of involuntary musical imagery: An experience sampling method study GA Floridou, D Müllensiefen Consciousness and cognition 33, 472-486, 2015 | 42 | 2015 |
| The involuntary musical imagery scale (IMIS). GA Floridou, VJ Williamson, L Stewart, D Müllensiefen Psychomusicology: Music, Mind, and Brain 25 (1), 28, 2015 | 42 | 2015 |
| Individual differences predict patterns in spontaneous involuntary musical imagery D Müllensiefen, J Fry, R Jones, S Jilka, L Stewart, VJ Williamson Music Perception: An Interdisciplinary Journal 31 (4), 323-338, 2012 | 42 | 2012 |
