Barbara Mazzarino
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Social Psychology
- Human-Computer Interaction top 10%
- Signal Processing
- Co-authors
- Gualtiero VolpeAntonio CamurriGiovanna VarniCristina RePietro MorassoRenee TimmersMatteo RicchettiAnna Rita Addessi
- Topics
- Human Motion and Animation (6 papers)Music and Audio Processing (5 papers)Music Technology and Sound Studies (4 papers)
- Partner nations
- ItalyBelgiumUnited Kingdom
In The Last Decade
Barbara Mazzarino
16 papers receiving 128 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 78
- Cognitive Neuroscience 54
- Social Psychology 41
- Human-Computer Interaction 35
- Signal Processing 34
Countries citing papers authored by Barbara Mazzarino
This map shows the geographic impact of Barbara Mazzarino'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 Barbara Mazzarino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Mazzarino more than expected).
Fields of papers citing papers by Barbara Mazzarino
This network shows the impact of papers produced by Barbara Mazzarino. 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 Barbara Mazzarino. The network helps show where Barbara Mazzarino may publish in the future.
Co-authorship network of co-authors of Barbara Mazzarino
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Mazzarino. A scholar is included among the top collaborators of Barbara Mazzarino 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 Barbara Mazzarino. Barbara Mazzarino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | VIDEO NAVIGATION TOOL: APPLICATION TO BROWSING A DATABASE OF DANCERS' PERFORMANCES | 2 |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 28 | |
| 13 | 6 | |
| 14 | Foundational Issues - Multimodal analysis of expressive gesture in music and dance performances | 27 |
| 15 | EPS - AN INTERACTIVE COLLABORATIVE GAME USING NON-VERBAL COMMUNICATION | 3 |
| 16 | 35 | |
| 17 | 1 |
About Barbara Mazzarino
Barbara Mazzarino is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Signal Processing, having authored 17 papers that have together received 150 indexed citations. Recurring topics across this work include Human Motion and Animation (6 papers), Music and Audio Processing (5 papers) and Music Technology and Sound Studies (4 papers). The work is most often cited by research in Human-Computer Interaction (35 citations), Computer Vision and Pattern Recognition (78 citations) and Music (10 citations). Barbara Mazzarino has collaborated with scholars based in Italy, Belgium and United Kingdom. Frequent co-authors include Gualtiero Volpe, Antonio Camurri, Giovanna Varni, Cristina Re, Pietro Morasso, Renee Timmers, Matteo Ricchetti, Anna Rita Addessi, Paolo E. Coletta and Frank Pollick. Their work appears in journals such as Journal of Vision, Cognition Technology & Work 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.