Silvia Terragni

About

Silvia Terragni is a scholar working on Artificial Intelligence, General Social Sciences and Computer Vision and Pattern Recognition. According to data from OpenAlex, Silvia Terragni has authored 7 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in General Social Sciences and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Silvia Terragni’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Computational and Text Analysis Methods (3 papers). Silvia Terragni is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Computational and Text Analysis Methods (3 papers). Silvia Terragni collaborates with scholars based in Italy, United States and Switzerland. Silvia Terragni's co-authors include Dirk Hovy, Federico Bianchi, Elisabetta Fersini, Debora Nozza, Antonio Candelieri, Enza Messina, Ciro Greco, Diogo Nunes Gonçalves and Jacopo Tagliabue and has published in prestigious journals such as Scientific Reports, Information Sciences and BOA (University of Milano-Bicocca).

In The Last Decade

Co-authorship network of co-authors of Silvia Terragni i

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Fields of papers citing papers by Silvia Terragni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Silvia Terragni

Since Specialization

Citations

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