René Alquézar

1.0k total citations
46 papers, 484 citations indexed

About

René Alquézar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, René Alquézar has authored 46 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 9 papers in Molecular Biology. Recurrent topics in René Alquézar's work include Graph Theory and Algorithms (11 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Machine Learning in Bioinformatics (7 papers). René Alquézar is often cited by papers focused on Graph Theory and Algorithms (11 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Machine Learning in Bioinformatics (7 papers). René Alquézar collaborates with scholars based in Spain, Mexico and Austria. René Alquézar's co-authors include Alberto Sanfeliu, Francesc Serratosa, Enrique Romero, Gerard Sanromà, Anaís Garrell, Joan‐Josep Climent, Josep María Vergès, Alfredo Vellido, Jesús Giraldo and Neill Campbell and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

René Alquézar

43 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
René Alquézar Spain	14	287	225	62	58	41	46	484
Jialin Chen China	12	301 1.0×	163 0.7×	32 0.5×	52 0.9×	40 1.0×	56	512
Jamshid Shanbehzadeh Iran	17	677 2.4×	165 0.7×	58 0.9×	40 0.7×	15 0.4×	69	920
Serhat S. Bucak United States	11	399 1.4×	334 1.5×	15 0.2×	67 1.2×	22 0.5×	17	674
Guo Zhong China	14	222 0.8×	168 0.7×	37 0.6×	23 0.4×	19 0.5×	87	492
Michael Revow Canada	9	315 1.1×	212 0.9×	31 0.5×	76 1.3×	9 0.2×	16	543
Jiajun Wen China	13	460 1.6×	215 1.0×	37 0.6×	74 1.3×	59 1.4×	53	645
Fŕed́eric Precioso France	14	308 1.1×	145 0.6×	15 0.2×	69 1.2×	12 0.3×	58	549
Ling‐Hwei Chen Taiwan	15	673 2.3×	113 0.5×	42 0.7×	128 2.2×	21 0.5×	57	805
Guorong Xuan China	16	1.1k 3.7×	137 0.6×	20 0.3×	85 1.5×	17 0.4×	34	1.2k

Countries citing papers authored by René Alquézar

Since Specialization

Citations

This map shows the geographic impact of René Alquézar'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 René Alquézar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites René Alquézar more than expected).

Fields of papers citing papers by René Alquézar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by René Alquézar. 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 René Alquézar. The network helps show where René Alquézar may publish in the future.

Co-authorship network of co-authors of René Alquézar

This figure shows the co-authorship network connecting the top 25 collaborators of René Alquézar. A scholar is included among the top collaborators of René Alquézar 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 René Alquézar. René Alquézar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Alquézar, René, et al.. (2018). El método de anagramas: un rápido y novedoso algoritmo para generar jugadas de scrabble. Research in Computing Science. 147(6). 41–55.

Alquézar, René, et al.. (2018). Systematic Analysis of Primary Sequence Domain Segments for the Discrimination Between Class C GPCR Subtypes. Interdisciplinary Sciences Computational Life Sciences. 10(1). 43–52. 5 indexed citations

Vellido, Alfredo, et al.. (2018). Using machine learning tools for protein database biocuration assistance. Scientific Reports. 8(1). 10148–10148. 4 indexed citations

Vellido, Alfredo, et al.. (2015). Visual Characterization of Misclassified Class C GPCRs through Manifold-based Machine Learning Methods. UPCommons institutional repository (Universitat Politècnica de Catalunya). 1(1). 19–19. 2 indexed citations

Vellido, Alfredo, et al.. (2014). Misclassification of class C G-protein-coupled receptors as a label noise problem. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 695–700. 2 indexed citations

Vellido, Alfredo, et al.. (2014). Exploratory Visualization of Misclassified GPCRs from Their Transformed Unaligned Sequences Using Manifold Learning Techniques. 623–630. 4 indexed citations

Nebot, Àngela, et al.. (2012). Quantitative and qualitative approaches for stock movement prediction.. 233–242. 1 indexed citations

Romero, Enrique & René Alquézar. (2011). Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks. Neural Networks. 25(1). 122–129. 15 indexed citations

Romero, Enrique, et al.. (2009). Data mining of patients on weaning trials from mechanical ventilation using cluster analysis and neural networks. PubMed. 65. 4343–4346. 12 indexed citations

10.

Alquézar, René, et al.. (2008). Building Policies for Scrabble. 342–351.

11.

Alquézar, René, et al.. (2006). Evolving plans for the KRKa2 chess ending. 80–84. 1 indexed citations

12.

Giraldo, Beatriz F., Enrique Romero, René Alquézar, et al.. (2006). Patients on Weaning Trials from Mechanical Ventilation Classified with Neural Networks and Feature Selection. PubMed. 1. 2195–2198. 12 indexed citations

13.

Sanfeliu, Alberto, Francesc Serratosa, & René Alquézar. (2004). SECOND-ORDER RANDOM GRAPHS FOR MODELING SETS OF ATTRIBUTED GRAPHS AND THEIR APPLICATION TO OBJECT LEARNING AND RECOGNITION. International Journal of Pattern Recognition and Artificial Intelligence. 18(3). 375–396. 25 indexed citations

14.

Romero, Enrique & René Alquézar. (2003). A new incremental method for function approximation using feed-forward neural networks. 2. 1968–1973. 16 indexed citations

15.

Alquézar, René, et al.. (2002). Incremental construction of LSTM recurrent neural network. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1. 171–184. 2 indexed citations

16.

Serratosa, Francesc, René Alquézar, & Alberto Sanfeliu. (2002). SYNTHESIS OF FUNCTION-DESCRIBED GRAPHS AND CLUSTERING OF ATTRIBUTED GRAPHS. International Journal of Pattern Recognition and Artificial Intelligence. 16(6). 621–655. 18 indexed citations

17.

Alquézar, René, et al.. (2000). Distance between Attributed Graphs and Function- Described Graphs Relaxing 2. 1 indexed citations

18.

Gibson, David, Alberto Sanfeliu, Neill Campbell, et al.. (2000). International Conference on Pattern Recognition. 28 indexed citations

19.

Alquézar, René & Alberto Sanfeliu. (1997). Recognition and learning of a class of context-sensitive languages described by augmented regular expressions. Pattern Recognition. 30(1). 163–182. 9 indexed citations

20.

Alquézar, René & Alberto Sanfeliu. (1995). Augmented regular expressions: a formalism to describe, recognize, and learn a class of context-sensitive languages. 3 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.

Explore authors with similar magnitude of impact