Haley E. Kragness
Impact in
- Music top 2%
- Diverse Music Education Insights
- Cognitive Neuroscience top 10%
- Neuroscience and Music Perception
- Hearing Loss and Rehabilitation
- Neural dynamics and brain function
Papers in
-
- Neuroscience and Music Perception 14
- Music 7
- Diverse Music Education Insights 7
- Co-authors
- Laurel J. Trainor (7 shared papers)Laura K. Cirelli (8 shared papers)Dan Bosnyak (2 shared papers)Andrew Chang (2 shared papers)E. Glenn Schellenberg (2 shared papers)Swathi Swaminathan (2 shared papers)Steven R. Livingstone (1 shared paper)Elizabeth K. Johnson (1 shared paper)
- Journals
- Developmental Science (5 papers)Music & Science (2 papers)Developmental Psychology (2 papers)Social Cognitive and Affective Neuroscience (2 papers)Scientific Reports (1 paper)
- Partner nations
- CanadaUnited StatesPortugal
In The Last Decade
Haley E. Kragness
17 papers receiving 212 citations
Peers
Comparison fields: 5 of 35
- Music 60
- Cognitive Neuroscience 186
- Signal Processing 46
- Developmental Biology 9
- Social Psychology 82
Countries citing papers authored by Haley E. Kragness
This map shows the geographic impact of Haley E. Kragness'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 Haley E. Kragness with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haley E. Kragness more than expected).
Fields of papers citing papers by Haley E. Kragness
This network shows the impact of papers produced by Haley E. Kragness. 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 Haley E. Kragness. The network helps show where Haley E. Kragness may publish in the future.
Co-authors
The 13 scholars most cited alongside Haley E. Kragness, 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 | 57 | |
| 2 | 2020 | 29 | |
| 3 | 2020 | 24 | |
| 4 | 2021 | 18 | |
| 5 | 2019 | 12 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2016 | 7 | |
| 13 | 2022 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2025 | 0 |
About Haley E. Kragness
Haley E. Kragness is a scholar working on Cognitive Neuroscience, Music, Signal Processing, Social Psychology and Experimental and Cognitive Psychology, having authored 18 papers that have together received 216 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (14 papers), Diverse Music Education Insights (7 papers), Music and Audio Processing (5 papers), Action Observation and Synchronization (3 papers), Evolutionary Psychology and Human Behavior (2 papers), Education Methods and Practices (2 papers), Multisensory perception and integration (2 papers) and Child and Animal Learning Development (2 papers). The work is most often cited by research in Music (60 citations), Cognitive Neuroscience (186 citations), Signal Processing (46 citations), Developmental Biology (9 citations) and Social Psychology (82 citations). Haley E. Kragness has collaborated with scholars based in Canada, United States and Portugal. Frequent co-authors include Laurel J. Trainor, Laura K. Cirelli, Dan Bosnyak, Andrew Chang, E. Glenn Schellenberg, Swathi Swaminathan, Steven R. Livingstone, Elizabeth K. Johnson, Peter Vuust and Marcus T. Pearce. Their work appears in journals such as Developmental Science, Music & Science, Developmental Psychology, Social Cognitive and Affective Neuroscience and Scientific Reports.
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.