Álex Bravo

4.8k total citations · 2 hit papers
27 papers, 3.1k citations indexed

About

Álex Bravo is a scholar working on Artificial Intelligence, Molecular Biology and Genetics. According to data from OpenAlex, Álex Bravo has authored 27 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Álex Bravo's work include Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (8 papers). Álex Bravo is often cited by papers focused on Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (8 papers). Álex Bravo collaborates with scholars based in Spain, United States and Uruguay. Álex Bravo's 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 and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Álex Bravo

24 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants

2016 1.8k citations Janet Piñero, Álex Bravo et al. Nucleic Acids Research profile →
DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes

2015 785 citations Janet Piñero, Núria Queralt-Rosiñach et al. Database profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Álex Bravo Spain	11	2.0k	538	389	364	296	27	3.1k
Núria Queralt-Rosiñach Spain	13	2.2k 1.1×	555 1.0×	377 1.0×	363 1.0×	297 1.0×	26	3.2k
Emilio Centeno Spain	7	2.3k 1.1×	605 1.1×	445 1.1×	440 1.2×	436 1.5×	10	3.6k
Javier Garcı́a-Garcı́a Spain	18	1.7k 0.8×	449 0.8×	256 0.7×	275 0.8×	225 0.8×	46	2.6k
Alba Gutiérrez‐Sacristán United States	9	1.3k 0.6×	343 0.6×	267 0.7×	255 0.7×	222 0.8×	27	2.1k
Zhenming Liu China	32	2.1k 1.0×	884 1.6×	223 0.6×	167 0.5×	338 1.1×	198	4.3k
Jolene Wiegers United States	13	1.6k 0.8×	766 1.4×	133 0.3×	318 0.9×	259 0.9×	17	2.7k
Carol Bocchini United States	9	2.2k 1.1×	386 0.7×	985 2.5×	308 0.8×	334 1.1×	9	3.3k
Cynthia Grondin United States	16	1.6k 0.8×	753 1.4×	132 0.3×	286 0.8×	229 0.8×	26	2.6k
Leming Shi United States	38	3.0k 1.5×	914 1.7×	642 1.7×	683 1.9×	312 1.1×	94	4.9k
Robin J. Johnson United States	23	2.6k 1.3×	961 1.8×	165 0.4×	375 1.0×	293 1.0×	36	4.2k

Countries citing papers authored by Álex Bravo

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Bravo, Álex, et al.. (2021). Accelerating the Early Identification of Relevant Studies in Title and Abstract Screening. 132–140.

Bravo, Álex, et al.. (2019). LaSTUS/TALN at HAHA: Humor Analysis based on Human Annotation.. Repositori digital de la UPF (Universitat Pompeu Fabra). 145–150. 1 indexed citations

Bravo, Álex, et al.. (2019). LaSTUS/TALN at TASS 2019: Sentiment Analysis for Spanish Language Variants with Neural Networks.. Repositori digital de la UPF (Universitat Pompeu Fabra). 598–604. 1 indexed citations

Bravo, Álex, et al.. (2019). LaSTUS-TALN at IberLEF 2019 eHealth-KD Challenge: Deep Learning Approaches to Information Extraction in Biomedical Texts.. 51–59. 2 indexed citations

Chiruzzo, Luis, et al.. (2019). LaSTUS-TALN+INCO @ CL-SciSumm 2019.. International ACM SIGIR Conference on Research and Development in Information Retrieval. 224–232. 3 indexed citations

Bravo, Álex, et al.. (2019). LaSTUS/TALN at IroSvA: Irony Detection in Spanish Variants.. Repositori digital de la UPF (Universitat Pompeu Fabra). 291–296. 2 indexed citations

Bravo, Álex, et al.. (2019). LaSTUS/TALN at SemEval-2019 Task 6: Identification and Categorization of Offensive Language in Social Media with Attention-based Bi-LSTM model. 672–677. 8 indexed citations

Gutiérrez‐Sacristán, Alba, Álex Bravo, Alexia Giannoula, et al.. (2018). comoRbidity: an R package for the systematic analysis of disease comorbidities. Bioinformatics. 34(18). 3228–3230. 27 indexed citations

Ferrés, Daniel, Horacio Saggion, Francesco Ronzano, & Álex Bravo. (2018). PDFdigest: an adaptable layout-aware PDF-to-XML textual content extractor for scientific articles. Language Resources and Evaluation. 3 indexed citations

10.

Bravo, Álex, et al.. (2018). LaSTUS/TALN+INCO @ CL-SciSumm 2018 - Using regression and convolutions for cross-document semantic linking and summarization of scholarly literature. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 150–163. 8 indexed citations

11.

Giannoula, Alexia, Alba Gutiérrez‐Sacristán, Álex Bravo, Ferrán Sanz, & Laura I. Furlong. (2018). Identifying temporal patterns in patient disease trajectories using dynamic time warping: A population-based study. Scientific Reports. 8(1). 4216–4216. 69 indexed citations

12.

Chiruzzo, Luis, et al.. (2017). LaSTUS/TALN @ CLSciSumm-17: cross-document sentence matching and scientific text summarization systems. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 55–66. 10 indexed citations

13.

Queralt-Rosiñach, Núria, Janet Piñero, Álex Bravo, Ferrán Sanz, & Laura I. Furlong. (2016). DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases. Bioinformatics. 32(14). 2236–2238. 37 indexed citations

14.

Piñero, Janet, Álex Bravo, Núria Queralt-Rosiñach, et al.. (2016). DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants. Nucleic Acids Research. 45(D1). D833–D839. 1779 indexed citations breakdown →

15.

Bravo, Álex, et al.. (2016). A crowdsourcing workflow for extracting chemical-induced disease relations from free text. Database. 2016. baw051–baw051. 6 indexed citations

16.

Bravo, Álex, et al.. (2016). Combining machine learning, crowdsourcing and expert knowledge to detect chemical-induced diseases in text. Database. 2016. baw094–baw094. 11 indexed citations

17.

Bravo, Álex, Janet Piñero, Núria Queralt-Rosiñach, Michael Rautschka, & Laura I. Furlong. (2015). Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research. BMC Bioinformatics. 16(1). 55–55. 174 indexed citations

18.

Piñero, Janet, Núria Queralt-Rosiñach, Álex Bravo, et al.. (2015). DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes. Database. 2015(0). bav028–bav028. 785 indexed citations breakdown →

19.

Gutiérrez‐Sacristán, Alba, Solène Grosdidier, Olga Valverde, et al.. (2015). PsyGeNET: a knowledge platform on psychiatric disorders and their genes. Bioinformatics. 31(18). 3075–3077. 71 indexed citations

20.

Carbonell, Pablo, Miguel Ángel Mayer, & Álex Bravo. (2015). Exploring Brand-Name Drug Mentions on Twitter for Pharmacovigilance. Studies in health technology and informatics. 210. 55–9. 18 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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