Leonard Tan
Impact in
- Music top 0.5%
- Diverse Music Education Insights
- Cognitive Neuroscience top 10%
- Neuroscience and Music Perception
Papers in
- Music 27
- Diverse Music Education Insights 27
-
- Neuroscience and Music Perception 12
- Co-authors
- Peter Miksza (5 shared papers)Clint Randles (1 shared paper)Charlene Tan (1 shared paper)John Wang (1 shared paper)Patrick K. Freer (2 shared papers)Gary E. McPherson (1 shared paper)Roger Mantie (1 shared paper)Joseph Michael Abramo (1 shared paper)
- Journals
- Psychology of Music (5 papers)Journal of Research in Music Education (4 papers)Music Education Research (3 papers)Bulletin of the Council for Research in Music Education (2 papers)Musicae Scientiae (2 papers)
- Partner nations
- SingaporeUnited StatesAustralia
In The Last Decade
Leonard Tan
30 papers receiving 280 citations
Peers
Comparison fields: 5 of 53
- Music 187
- Cognitive Neuroscience 123
- Developmental and Educational Psychology 78
- Experimental and Cognitive Psychology 75
- Social Psychology 106
Countries citing papers authored by Leonard Tan
This map shows the geographic impact of Leonard Tan'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 Leonard Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard Tan more than expected).
Fields of papers citing papers by Leonard Tan
This network shows the impact of papers produced by Leonard Tan. 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 Leonard Tan. The network helps show where Leonard Tan may publish in the future.
Co-authors
The 8 scholars most cited alongside Leonard Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 64 | |
| 2 | 2019 | 29 | |
| 3 | 2016 | 28 | |
| 4 | 2021 | 17 | |
| 5 | 2018 | 14 | |
| 6 | 2017 | 13 | |
| 7 | 2015 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2015 | 10 | |
| 10 | 2016 | 10 | |
| 11 | 2019 | 10 | |
| 12 | 2016 | 9 | |
| 13 | 2017 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2014 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2021 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2020 | 4 |
About Leonard Tan
Leonard Tan is a scholar working on Music, Cognitive Neuroscience, Social Psychology, Experimental and Cognitive Psychology and Sociology and Political Science, having authored 31 papers that have together received 307 indexed citations. Recurring topics across this work include Diverse Music Education Insights (27 papers), Neuroscience and Music Perception (12 papers), Education, Achievement, and Giftedness (6 papers), Music Therapy and Health (6 papers), Grit, Self-Efficacy, and Motivation (5 papers), Flow Experience in Various Fields (5 papers), Creativity in Education and Neuroscience (4 papers) and Art Education and Development (3 papers). The work is most often cited by research in Music (187 citations), Cognitive Neuroscience (123 citations), Developmental and Educational Psychology (78 citations), Experimental and Cognitive Psychology (75 citations) and Social Psychology (106 citations). Leonard Tan has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Peter Miksza, Clint Randles, Charlene Tan, John Wang, Patrick K. Freer, Gary E. McPherson, Roger Mantie and Joseph Michael Abramo. Their work appears in journals such as Psychology of Music, Journal of Research in Music Education, Music Education Research, Bulletin of the Council for Research in Music Education and Musicae Scientiae.
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.