Arantza Casillas

908 total citations
59 papers, 510 citations indexed

About

Arantza Casillas is a scholar working on Artificial Intelligence, Molecular Biology and Toxicology. According to data from OpenAlex, Arantza Casillas has authored 59 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 32 papers in Molecular Biology and 7 papers in Toxicology. Recurrent topics in Arantza Casillas's work include Topic Modeling (36 papers), Biomedical Text Mining and Ontologies (32 papers) and Natural Language Processing Techniques (28 papers). Arantza Casillas is often cited by papers focused on Topic Modeling (36 papers), Biomedical Text Mining and Ontologies (32 papers) and Natural Language Processing Techniques (28 papers). Arantza Casillas collaborates with scholars based in Spain, Sweden and Chile. Arantza Casillas's co-authors include Alicia Pérez, Koldo Gojenola, Maite Oronoz, Alberto Blanco, Arantza Díaz de Ilarraza, Rebecka Weegar, Víctor Fresno, Hercules Dalianis, Jorge Eduardo Pérez Pérez and Nerea Ezeiza and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition Letters.

In The Last Decade

Arantza Casillas

53 papers receiving 478 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arantza Casillas Spain 14 405 275 65 43 40 59 510
Alicia Pérez Spain 14 389 1.0× 263 1.0× 63 1.0× 43 1.0× 41 1.0× 53 508
Koldo Gojenola Spain 12 377 0.9× 184 0.7× 45 0.7× 26 0.6× 24 0.6× 63 443
Fleur Mougin France 13 240 0.6× 270 1.0× 46 0.7× 84 2.0× 65 1.6× 52 484
Eithon Cadag United States 7 376 0.9× 406 1.5× 52 0.8× 25 0.6× 30 0.8× 12 563
Abhyuday Jagannatha United States 7 270 0.7× 179 0.7× 49 0.8× 54 1.3× 30 0.8× 8 373
Yikun Guo United Kingdom 11 377 0.9× 351 1.3× 22 0.3× 14 0.3× 20 0.5× 24 466
Stefan Schulz Germany 13 475 1.2× 400 1.5× 72 1.1× 10 0.2× 15 0.4× 66 595
Zubair Afzal Netherlands 11 267 0.7× 237 0.9× 45 0.7× 16 0.4× 37 0.9× 26 391
Amber Stubbs United States 13 824 2.0× 471 1.7× 163 2.5× 48 1.1× 22 0.6× 19 978
Yasuhide Miura Japan 11 331 0.8× 126 0.5× 11 0.2× 56 1.3× 31 0.8× 25 472

Countries citing papers authored by Arantza Casillas

Since Specialization
Citations

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

Fields of papers citing papers by Arantza Casillas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arantza Casillas

This figure shows the co-authorship network connecting the top 25 collaborators of Arantza Casillas. A scholar is included among the top collaborators of Arantza Casillas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arantza Casillas. Arantza Casillas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pérez, Alicia, et al.. (2024). Quantifying decision support level of explainable automatic classification of diagnoses in Spanish medical records. Computers in Biology and Medicine. 182. 109127–109127.
2.
Blanco, Alberto, et al.. (2021). Explainable ICD multi-label classification of EHRs in Spanish with convolutional attention. International Journal of Medical Informatics. 157. 104615–104615. 15 indexed citations
3.
Blanco, Alberto, Alicia Pérez, & Arantza Casillas. (2020). IXA-AAA at CLEF eHealth 2020 CodiEsp. Automatic Classification of Medical Records with Multi-label Classifiers and Similarity Match Coders.. CLEF (Working Notes). 2 indexed citations
4.
Gojenola, Koldo, et al.. (2019). IxaMed at eHealth-KD Challenge 2019: Using Different Paradigms to Solve Clinical Relation Extraction.. 43–50. 1 indexed citations
5.
Casillas, Arantza, Nerea Ezeiza, Víctor Fresno, et al.. (2018). IxaMed at CLEF eHealth 2018 Task 1: ICD10 Coding with a Sequence-to-Sequence Approach.. CLEF (Working Notes). 8 indexed citations
6.
Weegar, Rebecka, Alicia Pérez, Hercules Dalianis, et al.. (2018). Ensembles for clinical entity extraction. Procesamiento del lenguaje natural. 60(60). 13–20. 3 indexed citations
7.
Pérez, Alicia, et al.. (2017). Inferred joint multigram models for medical term normalization according to ICD. International Journal of Medical Informatics. 110. 111–117. 13 indexed citations
8.
Casillas, Arantza, et al.. (2016). Document-level adverse drug reaction event extraction on electronic health records in Spanish.. Procesamiento del lenguaje natural. 56(56). 49–56. 4 indexed citations
9.
Pérez, Alicia, Arantza Casillas, & Koldo Gojenola. (2016). Fully unsupervised low-dimensional representation of adverse drug reaction events through distributional semantics. International Conference on Computational Linguistics. 50–59. 2 indexed citations
10.
Weegar, Rebecka, Arantza Casillas, Arantza Díaz de Ilarraza, et al.. (2016). The impact of simple feature engineering in multilingual medical NER. International Conference on Computational Linguistics. 1–6. 1 indexed citations
11.
Oronoz, Maite, Koldo Gojenola, Alicia Pérez, Arantza Díaz de Ilarraza, & Arantza Casillas. (2015). On the creation of a clinical gold standard corpus in Spanish: Mining adverse drug reactions. Journal of Biomedical Informatics. 56. 318–332. 63 indexed citations
12.
Casillas, Arantza, et al.. (2014). Adverse Drug Event prediction combining shallow analysis and machine learning. 85–89. 8 indexed citations
13.
Casillas, Arantza, et al.. (2012). First Approaches on Spanish Medical Record Classification Using Diagnostic Term to Class Transduction. 60–64. 3 indexed citations
14.
Alegria, Iñaki, et al.. (2008). Spanish-to-Basque MultiEngine Machine Translation for a Restricted Domain. Conference of the Association for Machine Translation in the Americas. 37–45. 1 indexed citations
15.
Isasi, Carmen R., et al.. (2001). XML-Bi : procedimientos para la gestión de flujo documental multilingüe sobre XML/TEI. Procesamiento del lenguaje natural. 27(27). 293–294.
16.
Casillas, Arantza, et al.. (1999). Extracción y aprovechamiento de DTDs emparejadas en corpus paralelos. Procesamiento del lenguaje natural. 25(25). 33–41. 2 indexed citations
17.
Martínez, Raquel Suriá, et al.. (1998). Bitext correspondences through rich mark-up. 2. 812–818. 2 indexed citations
18.
Casillas, Arantza, et al.. (1998). Bitext correspondences through rich mark-up. 2. 812–818. 1 indexed citations
19.
Casillas, Arantza, et al.. (1998). Aligning tagged bitexts. Meeting of the Association for Computational Linguistics. 2 indexed citations
20.
Casillas, Arantza, et al.. (1997). Segmentación de corpus paralelos para memorias de traducción. Procesamiento del lenguaje natural. 21(21). 17–30. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026