Maite Oronoz

32 papers and 273 indexed citations i.

About

Maite Oronoz is a scholar working on Artificial Intelligence, Molecular Biology and Toxicology. According to data from OpenAlex, Maite Oronoz has authored 32 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 19 papers in Molecular Biology and 4 papers in Toxicology. Recurrent topics in Maite Oronoz’s work include Natural Language Processing Techniques (22 papers), Biomedical Text Mining and Ontologies (19 papers) and Topic Modeling (19 papers). Maite Oronoz is often cited by papers focused on Natural Language Processing Techniques (22 papers), Biomedical Text Mining and Ontologies (19 papers) and Topic Modeling (19 papers). Maite Oronoz collaborates with scholars based in Spain, Sweden and United States. Maite Oronoz's co-authors include Arantza Casillas, Koldo Gojenola, Alicia Pérez, Arantza Díaz de Ilarraza, Aitziber Atutxa, Hercules Dalianis, Gorka Labaka, Iakes Goenaga, Montse Maritxalar and Víctor Fresno and has published in prestigious journals such as Expert Systems with Applications, Journal of the American Medical Informatics Association and International Journal of Medical Informatics.

In The Last Decade

Co-authorship network of co-authors of Maite Oronoz i

Fields of papers citing papers by Maite Oronoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maite Oronoz

Since Specialization
Citations

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