Sergio Scalise

15 papers and 321 indexed citations i.

About

Sergio Scalise is a scholar working on Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology. According to data from OpenAlex, Sergio Scalise has authored 15 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Language and Linguistics and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Sergio Scalise’s work include Syntax, Semantics, Linguistic Variation (3 papers), Natural Language Processing Techniques (3 papers) and Linguistic Studies and Language Acquisition (3 papers). Sergio Scalise is often cited by papers focused on Syntax, Semantics, Linguistic Variation (3 papers), Natural Language Processing Techniques (3 papers) and Linguistic Studies and Language Acquisition (3 papers). Sergio Scalise collaborates with scholars based in Italy and The Netherlands. Sergio Scalise's co-authors include Antonietta Bisetto, Irene Vogel, Francesca Masini, Antonio Fábregas, Emiliano Guevara and Chiara Melloni and has published in prestigious journals such as Modern Language Journal, Lingua and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Sergio Scalise i

Fields of papers citing papers by Sergio Scalise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sergio Scalise

Since Specialization
Citations

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