Massimo Moneglia

20 papers and 113 indexed citations i.

About

Massimo Moneglia is a scholar working on Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology. According to data from OpenAlex, Massimo Moneglia has authored 20 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Language and Linguistics and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Massimo Moneglia’s work include Linguistic Studies and Language Acquisition (14 papers), Natural Language Processing Techniques (10 papers) and Spanish Linguistics and Language Studies (7 papers). Massimo Moneglia is often cited by papers focused on Linguistic Studies and Language Acquisition (14 papers), Natural Language Processing Techniques (10 papers) and Spanish Linguistics and Language Studies (7 papers). Massimo Moneglia collaborates with scholars based in Italy, The Netherlands and United States. Massimo Moneglia's co-authors include Emanuela Cresti, Gloria Gagliardi, Monica Monachini, Morena Danieli, Marc Swerts, Marco Fabbri, Irene Russo, Antonio Moreno Sandoval, A. Cid and Philippe Martin and has published in prestigious journals such as Frontiers in Psychology, Language Resources and Evaluation and Frontiers in Communication.

In The Last Decade

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

Fields of papers citing papers by Massimo Moneglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Moneglia

Since Specialization
Citations

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