Giorgio Zoia
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience
- Artificial Intelligence
- Music top 5%
- Co-authors
- D. MlynekRuohua ZhouMarco MattavelliPaolo NesiPierfrancesco BelliniJean‐Pierre BarthélemyJoshua D. Reiss
- Topics
- Music and Audio Processing (19 papers)Music Technology and Sound Studies (18 papers)Speech and Audio Processing (10 papers)
- Journals
- IEEE Signal Processing MagazineIEEE Transactions on MultimediaIEEE Transactions on Audio Speech and Language Processing
- Partner nations
- SwitzerlandFranceItaly
In The Last Decade
Giorgio Zoia
17 papers receiving 262 citations
Peers
Comparison fields: 5 of 37
- Signal Processing 261
- Computer Vision and Pattern Recognition 209
- Cognitive Neuroscience 51
- Artificial Intelligence 37
- Music 25
Countries citing papers authored by Giorgio Zoia
This map shows the geographic impact of Giorgio Zoia'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 Giorgio Zoia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Zoia more than expected).
Fields of papers citing papers by Giorgio Zoia
This network shows the impact of papers produced by Giorgio Zoia. 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 Giorgio Zoia. The network helps show where Giorgio Zoia may publish in the future.
Co-authorship network of co-authors of Giorgio Zoia
This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Zoia. A scholar is included among the top collaborators of Giorgio Zoia 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 Giorgio Zoia. Giorgio Zoia 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 | 5 | |
| 3 | 23 | |
| 4 | 2 | |
| 5 | 22 | |
| 6 | 8 | |
| 7 | Symbolic Music Representation | 0 |
| 8 | 3 | |
| 9 | A real-time beat tracker for unrestricted audio signals | 1 |
| 10 | 2 | |
| 11 | Rendering of Advanced 3D Room Models by Enhanced Application Programming Interfaces | 1 |
| 12 | 0 | |
| 13 | Mixing Natural and Structured Audio Coding in Multimedia Frameworks | 1 |
| 14 | 2 | |
| 15 | MPEG Audio Coding and XML: samples, models, descriptors | 0 |
| 16 | 1 | |
| 17 | An MPEG-oriented platform for Wave Field Synthesis Arrays of Loudspeakers | 3 |
| 18 | A virtual DSP Architecture for MPEG-4 structured Audio | 2 |
| 19 | 1 | |
| 20 | 1 |
About Giorgio Zoia
Giorgio Zoia is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 22 papers that have together received 290 indexed citations. Recurring topics across this work include Music and Audio Processing (19 papers), Music Technology and Sound Studies (18 papers) and Speech and Audio Processing (10 papers). The work is most often cited by research in Signal Processing (261 citations), Computer Vision and Pattern Recognition (209 citations) and Music (25 citations). Giorgio Zoia has collaborated with scholars based in Switzerland, France and Italy. Frequent co-authors include D. Mlynek, Ruohua Zhou, Marco Mattavelli, Paolo Nesi, Pierfrancesco Bellini, Jean‐Pierre Barthélemy and Joshua D. Reiss. Their work appears in journals such as IEEE Signal Processing Magazine, IEEE Transactions on Multimedia and IEEE Transactions on Audio Speech and Language Processing.
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.