Maite Oronoz
Impact in
- Health Informatics top 10%
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions
Papers in
-
- Natural Language Processing Techniques 40
- Topic Modeling 32
- Text Readability and Simplification 8
- Semantic Web and Ontologies 3
-
- Biomedical Text Mining and Ontologies 27
- Co-authors
- Koldo Gojenola (32 shared papers)Arantza Casillas (24 shared papers)Alicia Pérez (23 shared papers)Arantza Díaz de Ilarraza (13 shared papers)Rebecka Weegar (5 shared papers)Rodrigo Agerri (4 shared papers)Larraitz Uria (4 shared papers)Gorka Labaka (4 shared papers)
- Journals
- Journal of Biomedical Informatics (3 papers)Artificial Intelligence in Medicine (2 papers)Natural Language Engineering (2 papers)Expert Systems with Applications (2 papers)BMC Medical Informatics and Decision Making (2 papers)
- Partner nations
- SpainSwedenUnited States
In The Last Decade
Maite Oronoz
58 papers receiving 469 citations
Peers
Comparison fields: 5 of 56
- Health Informatics 18
- Toxicology 37
- Artificial Intelligence 364
- Health Information Management 34
- Molecular Biology 201
Countries citing papers authored by Maite Oronoz
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).
Fields of papers citing papers by Maite Oronoz
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.
Co-authors
The 20 scholars most cited alongside Maite Oronoz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 68 | |
| 2 | 2019 | 38 | |
| 3 | 2016 | 36 | |
| 4 | 2017 | 31 | |
| 5 | 2013 | 28 | |
| 6 | 2004 | 28 | |
| 7 | 2006 | 25 | |
| 8 | 2024 | 21 | |
| 9 | 2019 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2020 | 13 | |
| 12 | 2014 | 13 | |
| 13 | 2015 | 12 | |
| 14 | 2014 | 12 | |
| 15 | 2014 | 10 | |
| 16 | 2008 | 10 | |
| 17 | 2018 | 10 | |
| 18 | Using Kybots for Extracting Events in Biomedical Texts | 2011 | 9 |
| 19 | IxaMed at CLEF eHealth 2018 Task 1: ICD10 Coding with a Sequence-to-Sequence Approach. | 2018 | 8 |
| 20 | Automatic Misogyny Identification Using Neural Networks. | 2018 | 7 |
About Maite Oronoz
Maite Oronoz is a scholar working on Artificial Intelligence, Molecular Biology, Language and Linguistics, Information Systems and Toxicology, having authored 62 papers that have together received 521 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (40 papers), Topic Modeling (32 papers), Biomedical Text Mining and Ontologies (27 papers), Text Readability and Simplification (8 papers), Pharmacovigilance and Adverse Drug Reactions (4 papers), Basque language and culture studies (3 papers), Software Engineering Research (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Health Informatics (18 citations), Toxicology (37 citations), Artificial Intelligence (364 citations), Health Information Management (34 citations) and Molecular Biology (201 citations). Maite Oronoz has collaborated with scholars based in Spain, Sweden and United States. Frequent co-authors include Koldo Gojenola, Arantza Casillas, Alicia Pérez, Arantza Díaz de Ilarraza, Rebecka Weegar, Rodrigo Agerri, Larraitz Uria, Gorka Labaka, Hercules Dalianis and Nerea Ezeiza. Their work appears in journals such as Journal of Biomedical Informatics, Artificial Intelligence in Medicine, Natural Language Engineering, Expert Systems with Applications and BMC Medical Informatics and Decision Making.
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.