Andrew Geeves

521 citations
13 papers · 328 · h-index 6

Impact in

  • Music top 2%
    • Diverse Music Education Insights
    • Neuroscience and Music Perception
    • Embodied and Extended Cognition

Papers in

Andrew Geeves

13 papers receiving 290 citations

Peers

Andrew Geeves
Comparison fields: 5 of 60
  • Music 68
  • Cognitive Neuroscience 208
  • Social Psychology 163
  • Developmental and Educational Psychology 61
  • Experimental and Cognitive Psychology 60
Replace Charlotte L. Doyle with:
Charlotte L. Doyle United States
Dee Reynolds United Kingdom
Nicolas J. Bullot Australia
Eric L. Wright United States
Elisa Küpers Netherlands
Milena Kuehnast Germany
Darlene DeMarie United States
Mariale M. Hardiman United States
Arla Good Canada
Mathilde Lamotte France
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Citations per field
00.5×3.9×
Charlotte L. Doyle · 1×
Citations per year

Countries citing papers authored by Andrew Geeves

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Geeves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Andrew Geeves, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrew Geeves Line = papers co-authored together Andrew Geeves links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2011160
2 201866
3 201338
4 201418
5 201516
6 201410
7
Critical review of Chaffin, Imreh, and Crawford, Practicing Perfection: memory and piano performance.
20084
8 20154
9 20204
10 20103
11 20103
12 20081
13
Investigating the reciprocity between body and performance for a professional musician
20091

About Andrew Geeves

Andrew Geeves is a scholar working on Cognitive Neuroscience, Music, Social Psychology, Developmental and Educational Psychology and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 328 indexed citations. Recurring topics across this work include Diverse Music Education Insights (7 papers), Neuroscience and Music Perception (7 papers), Action Observation and Synchronization (3 papers), Music Technology and Sound Studies (2 papers), Sport Psychology and Performance (2 papers), Mental Health and Psychiatry (1 paper), Free Will and Agency (1 paper) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper). The work is most often cited by research in Music (68 citations), Cognitive Neuroscience (208 citations), Social Psychology (163 citations), Developmental and Educational Psychology (61 citations) and Experimental and Cognitive Psychology (60 citations). Andrew Geeves has collaborated with scholars based in Australia and Austria. Frequent co-authors include John Sutton, Doris McIlwain, Wayne Christensen, William Forde Thompson, Kirk N. Olsen, Jane W. Davidson and Alan Taylor. Their work appears in journals such as Psychology of Music, Frontiers in Human Neuroscience, International Journal of Wellbeing, Educational Philosophy and Theory and Journal of the British Society for Phenomenology.

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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