Helena Daffern

32 papers and 213 indexed citations i.

About

Helena Daffern is a scholar working on Signal Processing, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Helena Daffern has authored 32 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Signal Processing, 16 papers in Cognitive Neuroscience and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Helena Daffern’s work include Music and Audio Processing (14 papers), Music Technology and Sound Studies (12 papers) and Neuroscience and Music Perception (11 papers). Helena Daffern is often cited by papers focused on Music and Audio Processing (14 papers), Music Technology and Sound Studies (12 papers) and Neuroscience and Music Perception (11 papers). Helena Daffern collaborates with scholars based in United Kingdom, United States and Denmark. Helena Daffern's co-authors include Freya Bailes, David M. Howard, Damian Murphy, Gavin Kearney, Hauke Egermann, Chris Neale, Rory A. DePaolis, Tamar Keren‐Portnoy, Ben Lee and C. Anthony Hunt and has published in prestigious journals such as PLoS ONE, Frontiers in Psychology and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Helena Daffern i

Fields of papers citing papers by Helena Daffern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Helena Daffern

Since Specialization
Citations

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).

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.

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2025