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
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.
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
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
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
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.