Matteo Gerosa

16 papers and 390 indexed citations i.

About

Matteo Gerosa is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Matteo Gerosa has authored 16 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Signal Processing and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Matteo Gerosa’s work include Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (6 papers) and Phonetics and Phonology Research (6 papers). Matteo Gerosa is often cited by papers focused on Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (6 papers) and Phonetics and Phonology Research (6 papers). Matteo Gerosa collaborates with scholars based in Italy, United States and Germany. Matteo Gerosa's co-authors include Diego Giuliani, Fabio Brugnara, Ambra Neri, Ornella Mich, Stefan Steidl, Michael Wong, Anton Batliner, Daniel Elenius, Martin Russell and Christian Hacker and has published in prestigious journals such as Speech Communication, Computer Assisted Language Learning and Computer Speech & Language.

In The Last Decade

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

Fields of papers citing papers by Matteo Gerosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matteo Gerosa

Since Specialization
Citations

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