Matteo Ricchetti

4 papers and 90 indexed citations i.

About

Matteo Ricchetti is a scholar working on Social Psychology, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matteo Ricchetti has authored 4 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Social Psychology, 3 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matteo Ricchetti’s work include Human Motion and Animation (3 papers), Social Robot Interaction and HRI (3 papers) and Music Technology and Sound Studies (2 papers). Matteo Ricchetti is often cited by papers focused on Human Motion and Animation (3 papers), Social Robot Interaction and HRI (3 papers) and Music Technology and Sound Studies (2 papers). Matteo Ricchetti collaborates with scholars based in Italy and Japan. Matteo Ricchetti's co-authors include Gualtiero Volpe, Antonio Camurri, Andrea Ricci, Shuji Hashimoto, Kenji Suzuki and Paolo E. Coletta and has published in prestigious journals such as Computer Music Journal, Journal of New Music Research and International Computer Music Conference.

In The Last Decade

Co-authorship network of co-authors of Matteo Ricchetti i

Fields of papers citing papers by Matteo Ricchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matteo Ricchetti. 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 Matteo Ricchetti. The network helps show where Matteo Ricchetti may publish in the future.

Countries citing papers authored by Matteo Ricchetti

Since Specialization
Citations

This map shows the geographic impact of Matteo Ricchetti'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 Matteo Ricchetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Ricchetti more than expected).

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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2025