Amalia de Götzen
- Human-Computer Interaction top 2%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Signal Processing top 10%
- Management of Technology and Innovation top 5%
- Co-authors
- Federico AvanziniStefania SerafinNicola MorelliLuca SimeoneNiels Christian NilssonRolf NordahlIngrid MulderNicola Bernardini
- Topics
- Music Technology and Sound Studies (18 papers)Innovative Approaches in Technology and Social Development (13 papers)Music and Audio Processing (11 papers)
- Partner nations
- DenmarkItalyNew Zealand
In The Last Decade
Amalia de Götzen
51 papers receiving 390 citations
Peers
Comparison fields: 5 of 83
- Human-Computer Interaction 164
- Computer Vision and Pattern Recognition 155
- Cognitive Neuroscience 153
- Signal Processing 99
- Management of Technology and Innovation 57
Countries citing papers authored by Amalia de Götzen
This map shows the geographic impact of Amalia de Götzen'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 Amalia de Götzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amalia de Götzen more than expected).
Fields of papers citing papers by Amalia de Götzen
This network shows the impact of papers produced by Amalia de Götzen. 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 Amalia de Götzen. The network helps show where Amalia de Götzen may publish in the future.
Co-authorship network of co-authors of Amalia de Götzen
This figure shows the co-authorship network connecting the top 25 collaborators of Amalia de Götzen. A scholar is included among the top collaborators of Amalia de Götzen 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 Amalia de Götzen. Amalia de Götzen 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 | 6 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | HOBA-VR: HRTF On Demand for Binaural Audio in immersive virtual reality environments | 2 |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | Participatory Amplitude Level Adjustment of Gesture Controlled Upper Body Garment Sound in Immersive Virtual Reality | 4 |
| 16 | Musical perspectives on composition, sonification and performace | 1 |
| 17 | 3 | |
| 18 | 2 | |
| 19 | Integrating auditory feedback in motor rehabilitation systems | 6 |
| 20 | Multimodal interaction in physics based sound synthesis | 0 |
About Amalia de Götzen
Amalia de Götzen is a scholar working on Human-Computer Interaction, Management of Technology and Innovation and Marketing, having authored 57 papers that have together received 416 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (18 papers), Innovative Approaches in Technology and Social Development (13 papers) and Music and Audio Processing (11 papers). The work is most often cited by research in Human-Computer Interaction (164 citations), Signal Processing (99 citations) and Management of Technology and Innovation (57 citations). Amalia de Götzen has collaborated with scholars based in Denmark, Italy and New Zealand. Frequent co-authors include Federico Avanzini, Stefania Serafin, Nicola Morelli, Luca Simeone, Niels Christian Nilsson, Rolf Nordahl, Ingrid Mulder, Nicola Bernardini, Daniel Arfib and Gerd Kortuem. Their work appears in journals such as Big Data & Society, IEEE Multimedia and Journal of the Audio Engineering Society.
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.