Barbara Mazzarino

35 total papers · 592 total citations
18 papers, 160 citations indexed

About

Barbara Mazzarino is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Barbara Mazzarino has authored 18 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Control and Systems Engineering and 6 papers in Cognitive Neuroscience. Recurrent topics in Barbara Mazzarino's work include Human Motion and Animation (6 papers), Music and Audio Processing (5 papers) and Music Technology and Sound Studies (4 papers). Barbara Mazzarino is often cited by papers focused on Human Motion and Animation (6 papers), Music and Audio Processing (5 papers) and Music Technology and Sound Studies (4 papers). Barbara Mazzarino collaborates with scholars based in Italy, Belgium and United States. Barbara Mazzarino's co-authors include Gualtiero Volpe, Antonio Camurri, Giovanna Varni, Pietro Morasso, Cristina Re, Matteo Ricchetti, Renee Timmers, Anna Rita Addessi, Paolo E. Coletta and Xavier Siebert and has published in prestigious journals such as Journal of Vision, Cognition Technology & Work and Journal on Multimodal User Interfaces.

In The Last Decade

Barbara Mazzarino

17 papers receiving 134 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Barbara Mazzarino 85 59 42 38 37 18 160
Jules Françoise 60 0.7× 84 1.4× 27 0.6× 58 1.5× 17 0.5× 12 161
Matteo Ricchetti 153 1.8× 83 1.4× 26 0.6× 67 1.8× 68 1.8× 7 207
The Duy Bui 77 0.9× 33 0.6× 41 1.0× 55 1.4× 31 0.8× 26 192
Emma Frid 97 1.1× 165 2.8× 47 1.1× 106 2.8× 25 0.7× 30 270
David Ackermann 44 0.5× 106 1.8× 25 0.6× 31 0.8× 92 2.5× 25 258
Myriam Desainte‐Catherine 57 0.7× 69 1.2× 24 0.6× 23 0.6× 34 0.9× 24 193
Christian Küblbeck 153 1.8× 33 0.6× 49 1.2× 29 0.8× 26 0.7× 9 226
Sotiris Manitsaris 114 1.3× 20 0.3× 21 0.5× 66 1.7× 20 0.5× 29 277
Diemo Schwarz 171 2.0× 87 1.5× 18 0.4× 26 0.7× 173 4.7× 25 241
Isabelle Ferrané 79 0.9× 35 0.6× 26 0.6× 55 1.4× 48 1.3× 29 195

Countries citing papers authored by Barbara Mazzarino

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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