Helena Daffern
- Cognitive Neuroscience top 10%
- Social Psychology top 10%
- Signal Processing top 10%
- Music top 2%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Jude BreretonFreya BailesDavid M. HowardGavin KearneyDamian MurphyC. Anthony HuntBen LeeTamar Keren‐Portnoy
- Topics
- Music and Audio Processing (15 papers)Music Technology and Sound Studies (14 papers)Neuroscience and Music Perception (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEFrontiers in Psychology
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Helena Daffern
34 papers receiving 286 citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 126
- Social Psychology 87
- Signal Processing 86
- Music 83
- Computer Vision and Pattern Recognition 73
Countries citing papers authored by Helena Daffern
This map shows the geographic impact of Helena Daffern'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 Helena Daffern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helena Daffern more than expected).
Fields of papers citing papers by Helena Daffern
This network shows the impact of papers produced by Helena Daffern. 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 Helena Daffern. The network helps show where Helena Daffern may publish in the future.
Co-authorship network of co-authors of Helena Daffern
This figure shows the co-authorship network connecting the top 25 collaborators of Helena Daffern. A scholar is included among the top collaborators of Helena Daffern based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Helena Daffern. Helena Daffern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | Immersive Network Music Performance: Design and Practical Deployment of a system for Immersive Vocal Performance | 4 |
| 12 | 17 | |
| 13 | 7 | |
| 14 | 7 | |
| 15 | 11 | |
| 16 | 4 | |
| 17 | 19 | |
| 18 | 4 | |
| 19 | 9 | |
| 20 | Case study of voice quality differences in a soprano singing in different early music performance styles. | 1 |
About Helena Daffern
Helena Daffern is a scholar working on Music, Signal Processing and Cognitive Neuroscience, having authored 37 papers that have together received 302 indexed citations. Recurring topics across this work include Music and Audio Processing (15 papers), Music Technology and Sound Studies (14 papers) and Neuroscience and Music Perception (12 papers). The work is most often cited by research in Music (83 citations), Signal Processing (86 citations) and Cognitive Neuroscience (126 citations). Helena Daffern has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Jude Brereton, Freya Bailes, David M. Howard, Gavin Kearney, Damian Murphy, C. Anthony Hunt, Ben Lee, Tamar Keren‐Portnoy, Chris Neale and Rory A. DePaolis. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Psychology.
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.