Alicia Pérez
- Artificial Intelligence top 5%
- Molecular Biology
- Health Information Management top 5%
- Toxicology top 5%
- Computational Theory and Mathematics top 10%
- Co-authors
- Arantza CasillasMaite OronozKoldo GojenolaAlberto BlancoArantza Díaz de IlarrazaRebecka WeegarHercules DalianisJorge Eduardo Pérez Pérez
- Topics
- Topic Modeling (33 papers)Biomedical Text Mining and Ontologies (31 papers)Natural Language Processing Techniques (24 papers)
- Partner nations
- SpainSwedenSwitzerland
In The Last Decade
Alicia Pérez
50 papers receiving 476 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 389
- Molecular Biology 263
- Health Information Management 63
- Toxicology 43
- Computational Theory and Mathematics 41
Countries citing papers authored by Alicia Pérez
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 15 | |
| 4 | IXA-AAA at CLEF eHealth 2020 CodiEsp. Automatic Classification of Medical Records with Multi-label Classifiers and Similarity Match Coders. | 2 |
| 5 | 4 | |
| 6 | 13 | |
| 7 | IxaMed at eHealth-KD Challenge 2019: Using Different Paradigms to Solve Clinical Relation Extraction. | 1 |
| 8 | 2 | |
| 9 | MAMTRA-MED at CLEF eHealth 2018: A Combination of Information Retrieval Techniques and Neural Networks for ICD-10 Coding of Death Certificates. | 6 |
| 10 | 3 | |
| 11 | 28 | |
| 12 | 13 | |
| 13 | 28 | |
| 14 | Document-level adverse drug reaction event extraction on electronic health records in Spanish. | 4 |
| 15 | Fully unsupervised low-dimensional representation of adverse drug reaction events through distributional semantics | 2 |
| 16 | The impact of simple feature engineering in multilingual medical NER | 1 |
| 17 | 63 | |
| 18 | 8 | |
| 19 | A comparison of linguistically and statistically enhanced models for speech-to-speech machine translation. | 1 |
| 20 | 1 |
About Alicia Pérez
Alicia Pérez is a scholar working on Toxicology, Artificial Intelligence and Health Information Management, having authored 53 papers that have together received 508 indexed citations. Recurring topics across this work include Topic Modeling (33 papers), Biomedical Text Mining and Ontologies (31 papers) and Natural Language Processing Techniques (24 papers). The work is most often cited by research in Health Information Management (63 citations), Toxicology (43 citations) and Artificial Intelligence (389 citations). Alicia Pérez has collaborated with scholars based in Spain, Sweden and Switzerland. Frequent 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. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Transplantation.
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.