Eneko Agirre

137 papers and 5.0k indexed citations i.

About

Eneko Agirre is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Eneko Agirre has authored 137 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Artificial Intelligence, 16 papers in Molecular Biology and 14 papers in Information Systems. Recurrent topics in Eneko Agirre’s work include Natural Language Processing Techniques (119 papers), Topic Modeling (97 papers) and Semantic Web and Ontologies (29 papers). Eneko Agirre is often cited by papers focused on Natural Language Processing Techniques (119 papers), Topic Modeling (97 papers) and Semantic Web and Ontologies (29 papers). Eneko Agirre collaborates with scholars based in Spain, United States and United Kingdom. Eneko Agirre's co-authors include Daniel Cer, Mona Diab, Aitor Gonzalez‐Agirre, Aitor Soroa, Germán Rigau, Gorka Labaka, Iñigo López-Gazpio, Mikel Artetxe, Philip Edmonds and Lucia Specia and has published in prestigious journals such as Bioinformatics, NeuroImage and Cerebral Cortex.

In The Last Decade

Co-authorship network of co-authors of Eneko Agirre i

Fields of papers citing papers by Eneko Agirre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eneko Agirre

Since Specialization
Citations

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