Jennifer MacRitchie

768 total citations
38 papers, 305 citations indexed

About

Jennifer MacRitchie is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Jennifer MacRitchie has authored 38 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 15 papers in Computer Vision and Pattern Recognition and 12 papers in Social Psychology. Recurrent topics in Jennifer MacRitchie's work include Neuroscience and Music Perception (23 papers), Music Technology and Sound Studies (15 papers) and Diverse Music Education Insights (11 papers). Jennifer MacRitchie is often cited by papers focused on Neuroscience and Music Perception (23 papers), Music Technology and Sound Studies (15 papers) and Diverse Music Education Insights (11 papers). Jennifer MacRitchie collaborates with scholars based in Australia, United Kingdom and Switzerland. Jennifer MacRitchie's co-authors include Nicholas J. Bailey, Andrew J. Milne, Andrew McPherson, Peter E. Keller, Sandra Garrido, Sarah McIntyre, Manuel Varlet, John R. Taylor, Renee Timmers and Steffen A. Herff and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of the Acoustical Society of America.

In The Last Decade

Jennifer MacRitchie

30 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer MacRitchie Australia 11 180 104 90 76 44 38 305
Gilles Comeau Canada 9 117 0.7× 54 0.5× 42 0.5× 122 1.6× 14 0.3× 37 255
George Waddell United Kingdom 9 101 0.6× 41 0.4× 61 0.7× 90 1.2× 46 1.0× 29 240
Jude Brereton United Kingdom 7 113 0.6× 48 0.5× 82 0.9× 100 1.3× 62 1.4× 18 252
Tânia Lisboa United Kingdom 9 175 1.0× 92 0.9× 32 0.4× 207 2.7× 16 0.4× 18 284
Anna Rita Addessi Italy 11 164 0.9× 37 0.4× 92 1.0× 137 1.8× 33 0.8× 49 292
William E. Fredrickson United States 15 316 1.8× 97 0.9× 87 1.0× 343 4.5× 106 2.4× 41 548
Emma Frid Sweden 9 165 0.9× 47 0.5× 97 1.1× 26 0.3× 25 0.6× 30 273
Steven J. Morrison United States 17 530 2.9× 153 1.5× 102 1.1× 461 6.1× 108 2.5× 40 723
Helena Daffern United Kingdom 10 126 0.7× 87 0.8× 73 0.8× 83 1.1× 86 2.0× 37 302
John Kratus United States 11 400 2.2× 105 1.0× 53 0.6× 505 6.6× 20 0.5× 15 591

Countries citing papers authored by Jennifer MacRitchie

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer MacRitchie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer MacRitchie

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer MacRitchie. A scholar is included among the top collaborators of Jennifer MacRitchie 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 Jennifer MacRitchie. Jennifer MacRitchie 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.
Chmiel, Anthony, Roger T. Dean, Catherine Stevens, & Jennifer MacRitchie. (2025). Objective demonstration and quantitation of musical learning in older adult novices across a 12-month online study. PLoS ONE. 20(4). e0320055–e0320055.
2.
3.
Milne, Andrew J., et al.. (2024). Exploring the Comprehensibility of Ten Different Musical Notation Systems and Underlying Factors. Music & Science. 7. 2 indexed citations
4.
MacRitchie, Jennifer, et al.. (2022). Exploring older adult needs and preferences for technology-assisted group music-making. A qualitative analysis of data collected during the participatory user-centred design process. Disability and Rehabilitation Assistive Technology. 19(5). 1935–1944. 6 indexed citations
5.
Dean, Roger T., et al.. (2022). AMMRI: a computational assessment tool for music novices’ replication and improvisation tasks. Journal of New Music Research. 51(4-5). 262–277. 1 indexed citations
6.
MacRitchie, Jennifer, et al.. (2022). The use of technology for arts-based activities in older adults living with mild cognitive impairment or dementia: A scoping review. Dementia. 22(1). 252–280. 11 indexed citations
7.
Taylor, John R., Andrew J. Milne, & Jennifer MacRitchie. (2021). New musical interfaces for older adults in residential care: assessing a user-centred design approach. Disability and Rehabilitation Assistive Technology. 18(5). 519–531. 6 indexed citations
8.
MacRitchie, Jennifer, et al.. (2020). Cognitive, Motor and Social Factors of Music Instrument Training Programs for Older Adults’ Improved Wellbeing. Frontiers in Psychology. 10. 2868–2868. 33 indexed citations
9.
Timmers, Renee, et al.. (2020). Neural multimodal integration underlying synchronization with a co-performer in music: Influences of motor expertise and visual information. Neuroscience Letters. 721. 134803–134803. 10 indexed citations
10.
11.
Jones, Caroline, et al.. (2019). Revitalisation of Mangarrayi : supporting community use of archival audio exemplars for creation of language learning resources. Language documentation and conservation. 13. 253–280. 1 indexed citations
12.
MacRitchie, Jennifer, et al.. (2018). Non-musicians recognize unfamiliar contemporary classical music excerpts with increasing repetition. Musicae Scientiae. 24(2). 251–265.
13.
Varlet, Manuel, et al.. (2018). The influence of visual cues on temporal anticipation and movement synchronization with musical sequences. Acta Psychologica. 191. 190–200. 17 indexed citations
14.
MacRitchie, Jennifer, et al.. (2018). Identifying challenges and opportunities for student composer and performer peer learning through newly-composed classical piano scores. British Journal of Music Education. 35(2). 153–175. 1 indexed citations
15.
MacRitchie, Jennifer, et al.. (2017). Negotiating between individual and joint goals in ensemble musical performance. Quarterly Journal of Experimental Psychology. 71(7). 1535–1551. 16 indexed citations
16.
MacRitchie, Jennifer, et al.. (2015). Using historical accounts of harpsichord touch to empirically investigate the production and perception of dynamics on the 1788 Taskin. Frontiers in Psychology. 6. 183–183. 4 indexed citations
17.
MacRitchie, Jennifer & Andrew McPherson. (2015). Integrating optical finger motion tracking with surface touch events. Frontiers in Psychology. 6. 702–702. 27 indexed citations
18.
MacRitchie, Jennifer, et al.. (2013). Inferring musical structure through bodily gestures. Musicae Scientiae. 17(1). 86–108. 36 indexed citations
19.
MacRitchie, Jennifer, et al.. (2009). Perceptual recognition of embodied musical structure. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).
20.
MacRitchie, Jennifer, et al.. (2009). COMMUNICATING PHRASING STRUCTURE WITH MULTI- MODAL EXPRESSIVE TECHNIQUES IN PIANO PERFORMANCE. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 125–128. 1 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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