Isabel Segura-Bédmar
- Artificial Intelligence top 1%
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Toxicology top 1%
- Sociology and Political Science
- Co-authors
- Paloma Martı́nezMaría Herrero-ZazoCésar de Pablo-SánchezThierry DeclerckVíctor Suárez-PaniaguaMiguel TejedorMar Moro‐MoroJanna Hastings
- Topics
- Biomedical Text Mining and Ontologies (41 papers)Topic Modeling (29 papers)Natural Language Processing Techniques (19 papers)
- Journals
- BMC BioinformaticsDrug Discovery TodayJournal of the American Medical Informatics Association
- Partner nations
- SpainGermanyUnited Kingdom
In The Last Decade
Isabel Segura-Bédmar
61 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 1.1k
- Molecular Biology 1.0k
- Computational Theory and Mathematics 419
- Toxicology 137
- Sociology and Political Science 108
Countries citing papers authored by Isabel Segura-Bédmar
This map shows the geographic impact of Isabel Segura-Bédmar'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 Isabel Segura-Bédmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Segura-Bédmar more than expected).
Fields of papers citing papers by Isabel Segura-Bédmar
This network shows the impact of papers produced by Isabel Segura-Bédmar. 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 Isabel Segura-Bédmar. The network helps show where Isabel Segura-Bédmar may publish in the future.
Co-authorship network of co-authors of Isabel Segura-Bédmar
This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Segura-Bédmar. A scholar is included among the top collaborators of Isabel Segura-Bédmar 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 Isabel Segura-Bédmar. Isabel Segura-Bédmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 111 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | Hulat-TaskAB at eHealth-KD Challenge 2019: Knowledge Recognition from Health Documents by BiLSTM-CRF. | 2 |
| 7 | 35 | |
| 8 | MC-UC3M Participation at TAC 2017 Adverse Drug Reaction Extraction from Drug Labels. | 4 |
| 9 | 24 | |
| 10 | TrendMiner: Large-scale Cross-lingual Trend Mining Summarization of Real-time Media Streams | 1 |
| 11 | ADRSpanishTool: a tool for extracting adverse drug reactions and indications | 1 |
| 12 | 71 | |
| 13 | SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013) | 197 |
| 14 | An Ontology for Drug-drug Interactions. | 7 |
| 15 | A web prototype for detecting chemical compounds and drugs | 0 |
| 16 | 302 | |
| 17 | Prototipo buscador de información médica en corpus multilingües y extractor de información sobre fármacos | 1 |
| 18 | 108 | |
| 19 | 12 | |
| 20 | Detección de fármacos genéricos en textos biomédicos | 2 |
About Isabel Segura-Bédmar
Isabel Segura-Bédmar is a scholar working on Toxicology, Artificial Intelligence and Computational Theory and Mathematics, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (41 papers), Topic Modeling (29 papers) and Natural Language Processing Techniques (19 papers). The work is most often cited by research in Toxicology (137 citations), Artificial Intelligence (1.1k citations) and Computational Theory and Mathematics (419 citations). Isabel Segura-Bédmar has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Paloma Martı́nez, María Herrero-Zazo, César de Pablo-Sánchez, Thierry Declerck, Víctor Suárez-Paniagua, Miguel Tejedor, Mar Moro‐Moro, Janna Hastings, Sara Guerrero‐Aspizua and Lourdes Moreno. Their work appears in journals such as BMC Bioinformatics, Drug Discovery Today and Journal of the American Medical Informatics Association.
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.