Toni Bechtold
Impact in
- Music top 1%
- Diverse Music Education Insights
- Cognitive Neuroscience top 10%
- Neuroscience and Music Perception
- Neural dynamics and brain function
Papers in
-
- Neuroscience and Music Perception 14
- Hearing Loss and Rehabilitation 1
- Music 9
- Diverse Music Education Insights 9
- Co-authors
- Olivier Senn (12 shared papers)Lorenz Kilchenmann (10 shared papers)Dawn Rose (4 shared papers)Maria A. G. Witek (5 shared papers)Jan Stupacher (1 shared paper)Reinhard Kopiez (1 shared paper)Tomas E. Matthews (1 shared paper)Virginia B. Penhune (1 shared paper)
- Journals
- Music & Science (3 papers)Music Perception An Interdisciplinary Journal (3 papers)PLoS ONE (3 papers)Frontiers in Psychology (2 papers)Journal of Experimental Psychology Human Perception & Performance (1 paper)
- Partner nations
- SwitzerlandUnited KingdomGermany
In The Last Decade
Toni Bechtold
14 papers receiving 185 citations
Peers
Comparison fields: 5 of 25
- Music 90
- Cognitive Neuroscience 176
- Signal Processing 68
- Social Psychology 62
- Computer Vision and Pattern Recognition 56
Countries citing papers authored by Toni Bechtold
This map shows the geographic impact of Toni Bechtold'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 Toni Bechtold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toni Bechtold more than expected).
Fields of papers citing papers by Toni Bechtold
This network shows the impact of papers produced by Toni Bechtold. 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 Toni Bechtold. The network helps show where Toni Bechtold may publish in the future.
Co-authors
The 8 scholars most cited alongside Toni Bechtold, 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 | 2018 | 56 | |
| 2 | 2019 | 30 | |
| 3 | 2019 | 30 | |
| 4 | 2020 | 27 | |
| 5 | 2023 | 10 | |
| 6 | 2021 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2021 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2018 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Toni Bechtold
Toni Bechtold is a scholar working on Cognitive Neuroscience, Music, Signal Processing, Computer Vision and Pattern Recognition and Social Psychology, having authored 16 papers that have together received 187 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (14 papers), Diverse Music Education Insights (9 papers), Music and Audio Processing (8 papers), Music Technology and Sound Studies (6 papers), Music Therapy and Health (4 papers), Flow Experience in Various Fields (1 paper), Hearing Loss and Rehabilitation (1 paper) and Musicians’ Health and Performance (1 paper). The work is most often cited by research in Music (90 citations), Cognitive Neuroscience (176 citations), Signal Processing (68 citations), Social Psychology (62 citations) and Computer Vision and Pattern Recognition (56 citations). Toni Bechtold has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Olivier Senn, Lorenz Kilchenmann, Dawn Rose, Maria A. G. Witek, Jan Stupacher, Reinhard Kopiez, Tomas E. Matthews and Virginia B. Penhune. Their work appears in journals such as Music & Science, Music Perception An Interdisciplinary Journal, PLoS ONE, Frontiers in Psychology and Journal of Experimental Psychology Human Perception & Performance.
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.