Laura Perez-Beltrachini

15 papers and 318 indexed citations i.

About

Laura Perez-Beltrachini is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Laura Perez-Beltrachini has authored 15 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Laura Perez-Beltrachini’s work include Natural Language Processing Techniques (14 papers), Topic Modeling (12 papers) and Speech and dialogue systems (3 papers). Laura Perez-Beltrachini is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (12 papers) and Speech and dialogue systems (3 papers). Laura Perez-Beltrachini collaborates with scholars based in United Kingdom, France and United States. Laura Perez-Beltrachini's co-authors include Claire Gardent, Shashi Narayan, Anastasia Shimorina, Mirella Lapata, Diego Marcheggiani, Yang Liu, Yassine Mrabet, Parag Jain, Yunqing Liu and Enrico Franconi and has published in prestigious journals such as Journal of Artificial Intelligence Research, Computational Linguistics and Natural Language Engineering.

In The Last Decade

Co-authorship network of co-authors of Laura Perez-Beltrachini i

Fields of papers citing papers by Laura Perez-Beltrachini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Perez-Beltrachini. 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 Laura Perez-Beltrachini. The network helps show where Laura Perez-Beltrachini may publish in the future.

Countries citing papers authored by Laura Perez-Beltrachini

Since Specialization
Citations

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