Massimo Vedovelli

7 papers and 213 indexed citations i.

About

Massimo Vedovelli is a scholar working on Artificial Intelligence, Language and Linguistics and Literature and Literary Theory. According to data from OpenAlex, Massimo Vedovelli has authored 7 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Language and Linguistics and 2 papers in Literature and Literary Theory. Recurrent topics in Massimo Vedovelli’s work include Linguistic Studies and Language Acquisition (7 papers), Linguistic Education and Pedagogy (3 papers) and Language and Culture (2 papers). Massimo Vedovelli is often cited by papers focused on Linguistic Studies and Language Acquisition (7 papers), Linguistic Education and Pedagogy (3 papers) and Language and Culture (2 papers). Massimo Vedovelli collaborates with scholars based in and . Massimo Vedovelli's co-authors include Tullio De Mauro, Federico Mancini, Jana Vizmuller-Zocco, Miriam Voghera, Monica Barni and Anna Giacalone Ramat and has published in prestigious journals such as International Journal of the Sociology of Language, DOAJ (DOAJ: Directory of Open Access Journals) and Bulzoni eBooks.

In The Last Decade

Co-authorship network of co-authors of Massimo Vedovelli i

Fields of papers citing papers by Massimo Vedovelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Vedovelli

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025