Larraitz Uria

14 papers and 339 indexed citations i.

About

Larraitz Uria is a scholar working on Artificial Intelligence, Language and Linguistics and Cultural Studies. According to data from OpenAlex, Larraitz Uria has authored 14 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Language and Linguistics and 2 papers in Cultural Studies. Recurrent topics in Larraitz Uria’s work include Natural Language Processing Techniques (12 papers), Topic Modeling (8 papers) and Text Readability and Simplification (4 papers). Larraitz Uria is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (8 papers) and Text Readability and Simplification (4 papers). Larraitz Uria collaborates with scholars based in Spain, United States and United Kingdom. Larraitz Uria's co-authors include Montse Maritxalar, Iñigo López-Gazpio, Germán Rigau, Eneko Agirre, Aitor Gonzalez‐Agirre, Mona Diab, Claire Cardie, Weiwei Guo, Carmen Banea and Janyce Wiebe and has published in prestigious journals such as Knowledge-Based Systems, Language Resources and Evaluation and Natural Language Engineering.

In The Last Decade

Co-authorship network of co-authors of Larraitz Uria i

Fields of papers citing papers by Larraitz Uria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Larraitz Uria

Since Specialization
Citations

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