Raquel Fernández

About

Raquel Fernández is a scholar working on Artificial Intelligence, Language and Linguistics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Raquel Fernández has authored 71 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 18 papers in Language and Linguistics and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Raquel Fernández’s work include Topic Modeling (30 papers), Speech and dialogue systems (26 papers) and Natural Language Processing Techniques (26 papers). Raquel Fernández is often cited by papers focused on Topic Modeling (30 papers), Speech and dialogue systems (26 papers) and Natural Language Processing Techniques (26 papers). Raquel Fernández collaborates with scholars based in The Netherlands, Spain and United Kingdom. Raquel Fernández's co-authors include Juana M. Liceras, Sandro Pezzelle, Raffaella Bernardi, Gemma Boleda, Jonathan Ginzburg, Marco Del Tredici, Elia Bruni, Rocío Pérez-Tattam, Marco Baroni and Angeliki Lazaridou and has published in prestigious journals such as IEEE Access, Cognitive Science and Behavior Research Methods.

In The Last Decade

Co-authorship network of co-authors of Raquel Fernández i

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Fields of papers citing papers by Raquel Fernández

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Raquel Fernández

Since Specialization

Citations

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