Isabel Segura-Bédmar

2.9k total citations
64 papers, 1.7k citations indexed

About

Isabel Segura-Bédmar is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Isabel Segura-Bédmar has authored 64 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 41 papers in Molecular Biology and 16 papers in Computational Theory and Mathematics. Recurrent topics in Isabel Segura-Bédmar's work include Biomedical Text Mining and Ontologies (41 papers), Topic Modeling (29 papers) and Natural Language Processing Techniques (19 papers). Isabel Segura-Bédmar is often cited by papers focused on Biomedical Text Mining and Ontologies (41 papers), Topic Modeling (29 papers) and Natural Language Processing Techniques (19 papers). Isabel Segura-Bédmar collaborates with scholars based in Spain, Germany and United Kingdom. Isabel Segura-Bédmar's co-authors include Paloma Martı́nez, María Herrero-Zazo, César de Pablo-Sánchez, Thierry Declerck, Víctor Suárez-Paniagua, Mar Moro‐Moro, Miguel Tejedor, Janna Hastings, Sara Guerrero‐Aspizua and Lourdes Moreno and has published in prestigious journals such as BMC Bioinformatics, Drug Discovery Today and Journal of the American Medical Informatics Association.

In The Last Decade

Isabel Segura-Bédmar

61 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Isabel Segura-Bédmar Spain	20	1.1k	1.0k	419	137	108	64	1.7k
Paloma Martı́nez Spain	22	1.2k 1.1×	990 0.9×	368 0.9×	126 0.9×	96 0.9×	140	1.9k
Robert Leaman United States	25	2.6k 2.3×	2.8k 2.7×	345 0.8×	143 1.0×	60 0.6×	46	3.8k
Halil Kilicoglu United States	23	1.3k 1.1×	1.4k 1.3×	263 0.6×	39 0.3×	21 0.2×	90	1.9k
Luca Toldo Germany	12	388 0.3×	489 0.5×	200 0.5×	149 1.1×	22 0.2×	23	916
Buzhou Tang China	30	2.0k 1.7×	1.2k 1.2×	267 0.6×	48 0.4×	39 0.4×	127	2.7k
Thomas C. Rindflesch United States	36	2.9k 2.6×	3.4k 3.3×	488 1.2×	133 1.0×	32 0.3×	127	4.2k
Achille Fokoue United States	12	675 0.6×	342 0.3×	285 0.7×	45 0.3×	30 0.3×	44	1.1k
Chih-Hsuan Wei United States	26	1.8k 1.6×	2.4k 2.3×	258 0.6×	19 0.1×	30 0.3×	60	3.0k
Pierre Zweigenbaum France	24	2.0k 1.8×	1.4k 1.3×	94 0.2×	40 0.3×	25 0.2×	165	2.5k

Countries citing papers authored by Isabel Segura-Bédmar

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Segura-Bédmar, Isabel. (2023). HULAT at SemEval-2023 Task 10: Data Augmentation for Pre-trained Transformers Applied to the Detection of Sexism in Social Media. 184–192. 1 indexed citations

Segura-Bédmar, Isabel, et al.. (2021). Sarcasm Detection with BERT. Procesamiento del lenguaje natural. 67. 13–25. 4 indexed citations

Segura-Bédmar, Isabel, et al.. (2020). Exploring Deep Learning for Named Entity Recognition of Tumor Morphology Mentions.. 396–411. 3 indexed citations

Segura-Bédmar, Isabel, et al.. (2019). Hulat-TaskAB at eHealth-KD Challenge 2019: Knowledge Recognition from Health Documents by BiLSTM-CRF.. 35–42. 2 indexed citations

Moreno, Lourdes, et al.. (2019). Lexical simplification approach using easy-to-read resources. Procesamiento del lenguaje natural. 63. 95–102. 6 indexed citations

Segura-Bédmar, Isabel, et al.. (2019). Análisis de Sentimiento en el dominio salud: analizando comentarios sobre fármacos. Procesamiento del lenguaje natural. 63(63). 15–22. 3 indexed citations

Suárez-Paniagua, Víctor, Isabel Segura-Bédmar, & Akiko Aizawa. (2018). UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network. 793–797. 1 indexed citations

Segura-Bédmar, Isabel, et al.. (2017). MC-UC3M Participation at TAC 2017 Adverse Drug Reaction Extraction from Drug Labels.. Theory and applications of categories. 4 indexed citations

Moreno, Lourdes, et al.. (2015). Exploring language technologies to provide support to WCAG 2.0 and E2R guidelines. 1–8. 3 indexed citations

10.

Peña, S. de la, Isabel Segura-Bédmar, Paloma Martı́nez, & José Luís Martínez. (2014). ADRSpanishTool: a tool for extracting adverse drug reactions and indications. Procesamiento del lenguaje natural. 53. 177–180. 1 indexed citations

11.

Segura-Bédmar, Isabel, et al.. (2014). TrendMiner: Large-scale Cross-lingual Trend Mining Summarization of Real-time Media Streams. Procesamiento del lenguaje natural. 53(53). 163–166. 1 indexed citations

12.

Segura-Bédmar, Isabel, et al.. (2014). Detecting drugs and adverse events from Spanish social media streams. 106–115. 24 indexed citations

13.

Segura-Bédmar, Isabel, Paloma Martı́nez, & María Herrero-Zazo. (2014). Lessons learnt from the DDIExtraction-2013 Shared Task. Journal of Biomedical Informatics. 51. 152–164. 71 indexed citations

14.

Segura-Bédmar, Isabel, et al.. (2013). A web prototype for detecting chemical compounds and drugs.

15.

Segura-Bédmar, Isabel, et al.. (2013). SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013). e-Archivo (Carlos III University of Madrid). 341–350. 197 indexed citations

16.

Herrero-Zazo, María, et al.. (2013). An Ontology for Drug-drug Interactions.. e-Archivo (Carlos III University of Madrid). 7 indexed citations

17.

Sandoval, Antonio Moreno, et al.. (2012). Prototipo buscador de información médica en corpus multilingües y extractor de información sobre fármacos. Procesamiento del lenguaje natural. 49(49). 209–212. 1 indexed citations

18.

Segura-Bédmar, Isabel, et al.. (2010). A comparison of machine learning techniques for detection of drug target articles. Journal of Biomedical Informatics. 43(6). 902–913. 12 indexed citations

19.

Pablo-Sánchez, César de, et al.. (2009). The UC3M team at the Knowledge Base Population task.. Theory and applications of categories.

20.

Segura-Bédmar, Isabel, et al.. (2008). Detección de fármacos genéricos en textos biomédicos. Procesamiento del lenguaje natural. 40(40). 27–34. 2 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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