Víctor Suárez-Paniagua
- Artificial Intelligence top 10%
- Molecular Biology
- Health Information Management top 5%
- Radiology, Nuclear Medicine and Imaging
- Computational Theory and Mathematics
- Co-authors
- Isabel Segura-BédmarPaloma Martı́nezHang DongHonghan WuWilliam WhiteleyBeatrice AlexDaniel DumaMinhong Wang
- Topics
- Topic Modeling (13 papers)Biomedical Text Mining and Ontologies (10 papers)Natural Language Processing Techniques (9 papers)
- Journals
- BMC BioinformaticsJournal of Biomedical InformaticsBMC Medical Informatics and Decision Making
- Partner nations
- SpainUnited KingdomJapan
In The Last Decade
Víctor Suárez-Paniagua
16 papers receiving 245 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 174
- Molecular Biology 107
- Health Information Management 33
- Radiology, Nuclear Medicine and Imaging 31
- Computational Theory and Mathematics 20
Countries citing papers authored by Víctor Suárez-Paniagua
This map shows the geographic impact of Víctor Suárez-Paniagua'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 Víctor Suárez-Paniagua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Víctor Suárez-Paniagua more than expected).
Fields of papers citing papers by Víctor Suárez-Paniagua
This network shows the impact of papers produced by Víctor Suárez-Paniagua. 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 Víctor Suárez-Paniagua. The network helps show where Víctor Suárez-Paniagua may publish in the future.
Co-authorship network of co-authors of Víctor Suárez-Paniagua
This figure shows the co-authorship network connecting the top 25 collaborators of Víctor Suárez-Paniagua. A scholar is included among the top collaborators of Víctor Suárez-Paniagua 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 Víctor Suárez-Paniagua. Víctor Suárez-Paniagua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | A multi-BERT hybrid system for Named Entity Recognition in Spanish radiology reports. | 3 |
| 5 | 24 | |
| 6 | 46 | |
| 7 | 8 | |
| 8 | VSP at eHealth-KD Challenge 2019: Recurrent Neural Networks for Relation Classification in Spanish eHealth Documents. | 1 |
| 9 | 44 | |
| 10 | 1 | |
| 11 | 58 | |
| 12 | 1 | |
| 13 | LABDA at TASS-2018 Task 3: Convolutional Neural Networks for Relation Classification in Spanish eHealth documents. | 2 |
| 14 | 1 | |
| 15 | 22 | |
| 16 | 29 |
About Víctor Suárez-Paniagua
Víctor Suárez-Paniagua is a scholar working on Health Informatics, Artificial Intelligence and Molecular Biology, having authored 16 papers that have together received 257 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Biomedical Text Mining and Ontologies (10 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in Health Informatics (16 citations), Health Information Management (33 citations) and Artificial Intelligence (174 citations). Víctor Suárez-Paniagua has collaborated with scholars based in Spain, United Kingdom and Japan. Frequent co-authors include Isabel Segura-Bédmar, Paloma Martı́nez, Hang Dong, Honghan Wu, William Whiteley, Beatrice Alex, Daniel Duma, Minhong Wang, Richard Tobin and Heather C. Whalley. Their work appears in journals such as BMC Bioinformatics, Journal of Biomedical Informatics 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.