Rema Rossini Favretti

7 papers and 168 indexed citations i.

About

Rema Rossini Favretti is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Rema Rossini Favretti has authored 7 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 2 papers in Psychiatry and Mental health. Recurrent topics in Rema Rossini Favretti’s work include Neurobiology of Language and Bilingualism (2 papers), Dementia and Cognitive Impairment Research (2 papers) and linguistics and terminology studies (1 paper). Rema Rossini Favretti is often cited by papers focused on Neurobiology of Language and Bilingualism (2 papers), Dementia and Cognitive Impairment Research (2 papers) and linguistics and terminology studies (1 paper). Rema Rossini Favretti collaborates with scholars based in Italy. Rema Rossini Favretti's co-authors include Fabio Tamburini, Laura Calzà, Gloria Gagliardi, Enrico Ghidoni, Roberto Scazzieri and Norina Marcello and has published in prestigious journals such as Frontiers in Aging Neuroscience, Language Resources and Evaluation and Computer Speech & Language.

In The Last Decade

Co-authorship network of co-authors of Rema Rossini Favretti i

Fields of papers citing papers by Rema Rossini Favretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rema Rossini Favretti. 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 Rema Rossini Favretti. The network helps show where Rema Rossini Favretti may publish in the future.

Countries citing papers authored by Rema Rossini Favretti

Since Specialization
Citations

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