Alicia Pérez

800 total citations
53 papers, 508 citations indexed

About

Alicia Pérez is a scholar working on Artificial Intelligence, Molecular Biology and Toxicology. According to data from OpenAlex, Alicia Pérez has authored 53 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 31 papers in Molecular Biology and 7 papers in Toxicology. Recurrent topics in Alicia Pérez's work include Topic Modeling (33 papers), Biomedical Text Mining and Ontologies (31 papers) and Natural Language Processing Techniques (24 papers). Alicia Pérez is often cited by papers focused on Topic Modeling (33 papers), Biomedical Text Mining and Ontologies (31 papers) and Natural Language Processing Techniques (24 papers). Alicia Pérez collaborates with scholars based in Spain, Sweden and Switzerland. Alicia Pérez's co-authors include Arantza Casillas, Maite Oronoz, Koldo Gojenola, Alberto Blanco, Arantza Díaz de Ilarraza, Rebecka Weegar, Hercules Dalianis, Jorge Eduardo Pérez Pérez, M. Inés Torres and Francisco Casacuberta and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Transplantation.

In The Last Decade

Alicia Pérez

50 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alicia Pérez Spain 14 389 263 63 43 41 53 508
Anthony Rios United States 13 503 1.3× 268 1.0× 66 1.0× 19 0.4× 42 1.0× 33 644
Maite Oronoz Spain 11 299 0.8× 209 0.8× 34 0.5× 27 0.6× 20 0.5× 51 378
Yikun Guo United Kingdom 11 377 1.0× 351 1.3× 22 0.3× 14 0.3× 20 0.5× 24 466
Arantza Casillas Spain 14 405 1.0× 275 1.0× 65 1.0× 43 1.0× 40 1.0× 59 510
Koldo Gojenola Spain 12 377 1.0× 184 0.7× 45 0.7× 26 0.6× 24 0.6× 63 443
Amber Stubbs United States 13 824 2.1× 471 1.8× 163 2.6× 48 1.1× 22 0.5× 19 978
Tung Tran United States 8 133 0.3× 83 0.3× 18 0.3× 19 0.4× 28 0.7× 15 249
Stefan Schulz Germany 13 475 1.2× 400 1.5× 72 1.1× 10 0.2× 15 0.4× 66 595
Yassine Mrabet United States 10 232 0.6× 126 0.5× 10 0.2× 11 0.3× 31 0.8× 19 319

Countries citing papers authored by Alicia Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Alicia Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alicia Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of Alicia Pérez. A scholar is included among the top collaborators of Alicia Pérez 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 Alicia Pérez. Alicia Pérez 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.. (2022). Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish. Journal of Biomedical Informatics. 130. 104050–104050. 8 indexed citations
3.
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
4.
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
5.
Pérez, Alicia, et al.. (2020). Adverse Drug Reaction extraction: Tolerance to entity recognition errors and sub-domain variants. Computer Methods and Programs in Biomedicine. 199. 105891–105891. 4 indexed citations
6.
Pérez, Alicia, et al.. (2020). Neural negated entity recognition in Spanish electronic health records. Journal of Biomedical Informatics. 105. 103419–103419. 13 indexed citations
7.
Gojenola, Koldo, et al.. (2019). IxaMed at eHealth-KD Challenge 2019: Using Different Paradigms to Solve Clinical Relation Extraction.. 43–50. 1 indexed citations
8.
Pérez, Alicia, et al.. (2019). Smoothing dense spaces for improved relation extraction between drugs and adverse reactions. International Journal of Medical Informatics. 128. 39–45. 2 indexed citations
9.
Casillas, Arantza, et al.. (2019). Measuring the effect of different types of unsupervised word representations on Medical Named Entity Recognition. International Journal of Medical Informatics. 129. 100–106. 11 indexed citations
10.
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
11.
Ilarraza, Arantza Díaz de, et al.. (2018). MAMTRA-MED at CLEF eHealth 2018: A Combination of Information Retrieval Techniques and Neural Networks for ICD-10 Coding of Death Certificates.. CLEF (Working Notes). 6 indexed citations
12.
Pérez, Alicia, Rebecka Weegar, Arantza Casillas, et al.. (2017). Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora. Journal of Biomedical Informatics. 71. 16–30. 28 indexed citations
13.
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
14.
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
15.
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
16.
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
17.
Casillas, Arantza, et al.. (2014). Adverse Drug Event prediction combining shallow analysis and machine learning. 85–89. 8 indexed citations
18.
Pérez, Alicia, et al.. (2012). Euskoparl: a speech and text Spanish-basque parallel corpus. 2362–2365. 4 indexed citations
19.
Pérez, Alicia, et al.. (2007). A comparison of linguistically and statistically enhanced models for speech-to-speech machine translation.. IWSLT. 13–20. 1 indexed citations
20.
Pérez, Alicia, et al.. (2003). Multidimensional multistage k-NN classifiers for handwritten digit recognition. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 16. 19–23. 3 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.

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