Siu-Lan Tan
Impact in
- Music top 1%
- Diverse Music Education Insights
- Cognitive Neuroscience top 10%
- Neuroscience and Music Perception
Papers in
- Music 7
- Diverse Music Education Insights 7
-
- Neuroscience and Music Perception 13
- Aesthetic Perception and Analysis 2
- Co-authors
- Sandra L. CalvertMatthew P. SpackmanPeter Q. PfordresherRom HarréMegan E. KellyMatthew A. BezdekElizabeth M. WakefieldAnnabel J. Cohen
- Journals
- Psychology of Music (4 papers)Music Perception An Interdisciplinary Journal (3 papers)Journal of Applied Developmental Psychology (1 paper)International Journal of Gaming and Computer-Mediated Simulations (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesGreeceGermany
In The Last Decade
Siu-Lan Tan
15 papers receiving 429 citations
Peers
Comparison fields: 5 of 70
- Music 87
- Cognitive Neuroscience 212
- Experimental and Cognitive Psychology 108
- Literature and Literary Theory 86
- Human-Computer Interaction 41
Countries citing papers authored by Siu-Lan Tan
This map shows the geographic impact of Siu-Lan 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 Siu-Lan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siu-Lan Tan more than expected).
Fields of papers citing papers by Siu-Lan Tan
This network shows the impact of papers produced by Siu-Lan 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 Siu-Lan Tan. The network helps show where Siu-Lan Tan may publish in the future.
Co-authors
The 18 scholars most cited alongside Siu-Lan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 2 | |
| 2 | 2017 | 17 | |
| 3 | 2017 | 8 | |
| 4 | 2016 | 0 | |
| 5 | 2015 | 2 | |
| 6 | 2013 | 30 | |
| 7 | 2010 | 37 | |
| 8 | Psychology of Music: From Sound to Significance | 2010 | 45 |
| 9 | 2010 | 19 | |
| 10 | 2008 | 12 | |
| 11 | 2007 | 44 | |
| 12 | 2006 | 26 | |
| 13 | 2005 | 13 | |
| 14 | 2004 | 43 | |
| 15 | Interacting with Video | 1996 | 53 |
| 16 | 1994 | 146 |
About Siu-Lan Tan
Siu-Lan Tan is a scholar working on Music, Cognitive Neuroscience, Experimental and Cognitive Psychology, Signal Processing and Literature and Literary Theory, having authored 16 papers that have together received 497 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (13 papers), Diverse Music Education Insights (7 papers), Multisensory perception and integration (7 papers), Music and Audio Processing (3 papers), Aesthetic Perception and Analysis (2 papers), Media Influence and Health (2 papers), Music Technology and Sound Studies (2 papers) and Visual and Cognitive Learning Processes (1 paper). The work is most often cited by research in Music (87 citations), Cognitive Neuroscience (212 citations), Experimental and Cognitive Psychology (108 citations), Literature and Literary Theory (86 citations) and Human-Computer Interaction (41 citations). Siu-Lan Tan has collaborated with scholars based in United States, Greece and Germany. Frequent co-authors include Sandra L. Calvert, Matthew P. Spackman, Peter Q. Pfordresher, Rom Harré, Megan E. Kelly, Matthew A. Bezdek, Elizabeth M. Wakefield, Annabel J. Cohen, Scott D. Lipscomb and Roger A. Kendall. Their work appears in journals such as Psychology of Music, Music Perception An Interdisciplinary Journal, Journal of Applied Developmental Psychology, International Journal of Gaming and Computer-Mediated Simulations and SHILAP Revista de lepidopterología.
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.