Maria Teresa Pazienza

51 papers and 255 indexed citations i.

About

Maria Teresa Pazienza is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics. According to data from OpenAlex, Maria Teresa Pazienza has authored 51 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 12 papers in Information Systems and 5 papers in Language and Linguistics. Recurrent topics in Maria Teresa Pazienza’s work include Natural Language Processing Techniques (31 papers), Semantic Web and Ontologies (21 papers) and Topic Modeling (16 papers). Maria Teresa Pazienza is often cited by papers focused on Natural Language Processing Techniques (31 papers), Semantic Web and Ontologies (21 papers) and Topic Modeling (16 papers). Maria Teresa Pazienza collaborates with scholars based in Italy, United States and United Kingdom. Maria Teresa Pazienza's co-authors include Paola Velardi, Roberto Basili, Armando Stellato, Fabio Massimo Zanzotto, Marco Pennacchiotti, Noemi Scarpato, Piero De Giacomo, Ezio Lefons, Filippo Tangorra and Alessandro Moschitti and has published in prestigious journals such as Computer Physics Communications, Artificial Intelligence and IBM Journal of Research and Development.

In The Last Decade

Co-authorship network of co-authors of Maria Teresa Pazienza i

Fields of papers citing papers by Maria Teresa Pazienza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Teresa Pazienza. 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 Maria Teresa Pazienza. The network helps show where Maria Teresa Pazienza may publish in the future.

Countries citing papers authored by Maria Teresa Pazienza

Since Specialization
Citations

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