Claudia Soria

24 papers and 75 indexed citations i.

About

Claudia Soria is a scholar working on Artificial Intelligence, Language and Linguistics and Information Systems. According to data from OpenAlex, Claudia Soria has authored 24 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 3 papers in Language and Linguistics and 2 papers in Information Systems. Recurrent topics in Claudia Soria’s work include Natural Language Processing Techniques (15 papers), Semantic Web and Ontologies (7 papers) and Speech and dialogue systems (6 papers). Claudia Soria is often cited by papers focused on Natural Language Processing Techniques (15 papers), Semantic Web and Ontologies (7 papers) and Speech and dialogue systems (6 papers). Claudia Soria collaborates with scholars based in United States, Italy and Spain. Claudia Soria's co-authors include Nicoletta Calzolari, Monica Monachini, Núria Bel, Gil Francopoulo, Laurette Pretorius, Vito Pirrelli, Francesca Bertagna, Alessandro Lenci, Simonetta Montemagni⋄ and Morena Danieli and has published in prestigious journals such as Language Resources and Evaluation, Natural Language Engineering and Chasqui.

In The Last Decade

Co-authorship network of co-authors of Claudia Soria i

Fields of papers citing papers by Claudia Soria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Claudia Soria

Since Specialization
Citations

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