Gaël Dubus
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Social Psychology
- Human-Computer Interaction top 5%
- Experimental and Cognitive Psychology
- Co-authors
- Roberto BresinMarco FabianiVesa VälimäkiAntonio CamurriGiovanna VarniGualtiero VolpeKonrad TollmarKjetil Falkenberg Hansen
- Topics
- Tactile and Sensory Interactions (7 papers)Music Technology and Sound Studies (6 papers)Music and Audio Processing (4 papers)
In The Last Decade
Gaël Dubus
14 papers receiving 264 citations
Peers
Comparison fields: 5 of 65
- Cognitive Neuroscience 192
- Computer Vision and Pattern Recognition 79
- Social Psychology 73
- Human-Computer Interaction 57
- Experimental and Cognitive Psychology 46
Countries citing papers authored by Gaël Dubus
This map shows the geographic impact of Gaël Dubus'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 Gaël Dubus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaël Dubus more than expected).
Fields of papers citing papers by Gaël Dubus
This network shows the impact of papers produced by Gaël Dubus. 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 Gaël Dubus. The network helps show where Gaël Dubus may publish in the future.
Co-authorship network of co-authors of Gaël Dubus
This figure shows the co-authorship network connecting the top 25 collaborators of Gaël Dubus. A scholar is included among the top collaborators of Gaël Dubus 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 Gaël Dubus. Gaël Dubus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 179 | |
| 5 | 1 | |
| 6 | 31 | |
| 7 | Using modern smartphones to create interactive listening experiences for hearing impaired | 1 |
| 8 | Sonification of Physical Quantities Throughout History: A Meta-Study of Previous Mapping Strategies | 7 |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 24 | |
| 13 | Sonification of sculler movements, development of preliminary methods | 5 |
| 14 | Interactive sonification of emotionally expressive gestures by means of music performance | 4 |
About Gaël Dubus
Gaël Dubus is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Signal Processing, having authored 14 papers that have together received 275 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (7 papers), Music Technology and Sound Studies (6 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Human-Computer Interaction (57 citations), Cognitive Neuroscience (192 citations) and Computer Vision and Pattern Recognition (79 citations). Gaël Dubus has collaborated with scholars based in Sweden, Italy and Finland. Frequent co-authors include Roberto Bresin, Marco Fabiani, Vesa Välimäki, Antonio Camurri, Giovanna Varni, Gualtiero Volpe, Konrad Tollmar and Kjetil Falkenberg Hansen. Their work appears in journals such as PLoS ONE, Sports Engineering and Journal on Multimodal User Interfaces.
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.