Iria da Cunha

31 papers and 157 indexed citations i.

About

Iria da Cunha is a scholar working on Artificial Intelligence, Language and Linguistics and Education. According to data from OpenAlex, Iria da Cunha has authored 31 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Language and Linguistics and 4 papers in Education. Recurrent topics in Iria da Cunha’s work include Natural Language Processing Techniques (15 papers), Spanish Linguistics and Language Studies (10 papers) and linguistics and terminology studies (9 papers). Iria da Cunha is often cited by papers focused on Natural Language Processing Techniques (15 papers), Spanish Linguistics and Language Studies (10 papers) and linguistics and terminology studies (9 papers). Iria da Cunha collaborates with scholars based in Spain, France and Canada. Iria da Cunha's co-authors include Juan‐Manuel Torres‐Moreno, Éric SanJuan, Horacio Saggion, Maite Taboada, Jorge Vivaldi, Gerardo Sierra, Leo Wanner, Marina Fomicheva, Núria Bel and Gemma Bel-Enguix and has published in prestigious journals such as Expert Systems with Applications, Aging & Mental Health and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Iria da Cunha i

Fields of papers citing papers by Iria da Cunha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iria da Cunha. 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 Iria da Cunha. The network helps show where Iria da Cunha may publish in the future.

Countries citing papers authored by Iria da Cunha

Since Specialization
Citations

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