Álex Bravo
- Molecular Biology top 5%
- Computational Theory and Mathematics top 1%
- Genetics top 5%
- Cancer Research top 5%
- Pharmacology top 1%
- Co-authors
- Laura I. FurlongJanet PiñeroNúria Queralt-RosiñachFerrán SanzJordi Deu-PonsAlba Gutiérrez‐SacristánEmilio CentenoJavier Garcı́a-Garcı́a
- Topics
- Biomedical Text Mining and Ontologies (12 papers)Topic Modeling (9 papers)Advanced Text Analysis Techniques (8 papers)
- Partner nations
- SpainUnited StatesUruguay
In The Last Decade
Álex Bravo
24 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 2.0k
- Computational Theory and Mathematics 538
- Genetics 389
- Cancer Research 364
- Pharmacology 296
Countries citing papers authored by Álex Bravo
This map shows the geographic impact of Álex Bravo'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 Álex Bravo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Álex Bravo more than expected).
Fields of papers citing papers by Álex Bravo
This network shows the impact of papers produced by Álex Bravo. 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 Álex Bravo. The network helps show where Álex Bravo may publish in the future.
Co-authorship network of co-authors of Álex Bravo
This figure shows the co-authorship network connecting the top 25 collaborators of Álex Bravo. A scholar is included among the top collaborators of Álex Bravo 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 Álex Bravo. Álex Bravo 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 | LaSTUS/TALN at HAHA: Humor Analysis based on Human Annotation. | 1 |
| 3 | LaSTUS/TALN at TASS 2019: Sentiment Analysis for Spanish Language Variants with Neural Networks. | 1 |
| 4 | LaSTUS-TALN at IberLEF 2019 eHealth-KD Challenge: Deep Learning Approaches to Information Extraction in Biomedical Texts. | 2 |
| 5 | LaSTUS-TALN+INCO @ CL-SciSumm 2019. | 3 |
| 6 | LaSTUS/TALN at IroSvA: Irony Detection in Spanish Variants. | 2 |
| 7 | 8 | |
| 8 | 27 | |
| 9 | PDFdigest: an adaptable layout-aware PDF-to-XML textual content extractor for scientific articles | 3 |
| 10 | LaSTUS/TALN+INCO @ CL-SciSumm 2018 - Using regression and convolutions for cross-document semantic linking and summarization of scholarly literature | 8 |
| 11 | 69 | |
| 12 | LaSTUS/TALN @ CLSciSumm-17: cross-document sentence matching and scientific text summarization systems | 10 |
| 13 | 37 | |
| 14 | DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variantsbreakdown → | 1779 |
| 15 | 6 | |
| 16 | 11 | |
| 17 | 174 | |
| 18 | DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genesbreakdown → | 785 |
| 19 | 71 | |
| 20 | 18 |
About Álex Bravo
Álex Bravo is a scholar working on Artificial Intelligence, Communication and Signal Processing, having authored 27 papers that have together received 3.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (8 papers). The work is most often cited by research in Computational Theory and Mathematics (538 citations), Pharmacology (296 citations) and Molecular Biology (2.0k citations). Álex Bravo has collaborated with scholars based in Spain, United States and Uruguay. Frequent co-authors include Laura I. Furlong, Janet Piñero, Núria Queralt-Rosiñach, Ferrán Sanz, Jordi Deu-Pons, Alba Gutiérrez‐Sacristán, Emilio Centeno, Javier Garcı́a-Garcı́a, Martín Baron and Anna Bauer‐Mehren. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.
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.