Javier Pérez-Rodríguez

742 total citations
24 papers, 526 citations indexed

About

Javier Pérez-Rodríguez is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Javier Pérez-Rodríguez has authored 24 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Javier Pérez-Rodríguez's work include Machine Learning and Data Classification (7 papers), Machine Learning in Bioinformatics (6 papers) and Machine Learning and ELM (5 papers). Javier Pérez-Rodríguez is often cited by papers focused on Machine Learning and Data Classification (7 papers), Machine Learning in Bioinformatics (6 papers) and Machine Learning and ELM (5 papers). Javier Pérez-Rodríguez collaborates with scholars based in Spain, United States and United Kingdom. Javier Pérez-Rodríguez's co-authors include Nicolás García‐Pedrajas, Aida de Haro-García, Derek M. Fine, David A. Bluemke, Benjamin D. Ehst, María D. García‐Pedrajas, Colin Fyfe, Domingo Ortíz-Boyer, Francisco Fernández‐Navarro and Alejandro de la Fuente and has published in prestigious journals such as Bioinformatics, Scientific Reports and Radiology.

In The Last Decade

Javier Pérez-Rodríguez

23 papers receiving 504 citations

Peers

Countries citing papers authored by Javier Pérez-Rodríguez

Since Specialization

Citations

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

Fields of papers citing papers by Javier Pérez-Rodríguez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Pérez-Rodríguez. 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 Javier Pérez-Rodríguez. The network helps show where Javier Pérez-Rodríguez may publish in the future.

Co-authorship network of co-authors of Javier Pérez-Rodríguez

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Pérez-Rodríguez. A scholar is included among the top collaborators of Javier Pérez-Rodríguez 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 Javier Pérez-Rodríguez. Javier Pérez-Rodríguez 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

#	Work	Indexed citations
1	Global and Diverse Ensemble model for regression 2025 ·Neurocomputing ·Antonio M. Durán-Rosal, (unknown), Javier Pérez-Rodríguez, Francisco Fernández‐Navarro	0
2	Boosting ridge for the extreme learning machine globally optimised for classification and regression problems 2023 ·Scientific Reports ·(unknown), Javier Pérez-Rodríguez, Antonio M. Durán-Rosal	3
3	Machine Learning Algorithms and Applications in Engineering 2023 ·Prasenjit Chatterjee, Morteza Yazdani, Francisco Fernández‐Navarro, Javier Pérez-Rodríguez	6
4	Nonlinear physics opens a new paradigm for accurate transcription start site prediction 2022 ·BMC Bioinformatics ·(unknown), Santiago Cuesta‐López, César García‐Osorio, Javier Pérez-Rodríguez, Nicolás García‐Pedrajas	1
5	Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models 2021 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), Francisco Fernández‐Navarro, (unknown), Javier Pérez-Rodríguez	10
6	Negative correlation learning in the extreme learning machine framework 2020 ·Neural Computing and Applications ·(unknown), (unknown), Javier Pérez-Rodríguez, (unknown), Francisco Fernández‐Navarro	6
7	Floating Search Methodology for Combining Classification Models for Site Recognition in DNA Sequences 2020 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Javier Pérez-Rodríguez, Aida de Haro-García, Nicolás García‐Pedrajas	3
8	Regularized ensemble neural networks models in the Extreme Learning Machine framework 2019 ·Neurocomputing ·(unknown), (unknown), (unknown), Javier Pérez-Rodríguez, Francisco Fernández‐Navarro	9
9	A general framework for boosting feature subset selection algorithms 2018 ·Information Fusion ·Javier Pérez-Rodríguez, Aida de Haro-García, (unknown), Nicolás García‐Pedrajas	17
10	Combining three strategies for evolutionary instance selection for instance-based learning 2018 ·Swarm and Evolutionary Computation ·Aida de Haro-García, Javier Pérez-Rodríguez, Nicolás García‐Pedrajas	15
11	Stepwise approach for combining many sources of evidence for site-recognition in genomic sequences 2016 ·BMC Bioinformatics ·Javier Pérez-Rodríguez, Nicolás García‐Pedrajas	6
12	Simultaneous instance and feature selection and weighting using evolutionary computation: Proposal and study 2015 ·Applied Soft Computing ·Javier Pérez-Rodríguez, (unknown), Nicolás García‐Pedrajas	42
13	Improving translation initiation site and stop codon recognition by using more than two classes 2014 ·Bioinformatics ·Javier Pérez-Rodríguez, (unknown), Nicolás García‐Pedrajas	1
14	A Scalable Memetic Algorithm for Simultaneous Instance and Feature Selection 2013 ·Evolutionary Computation ·Nicolás García‐Pedrajas, Aida de Haro-García, Javier Pérez-Rodríguez	33
15	Multi-selection of instances: A straightforward way to improve evolutionary instance selection 2012 ·Applied Soft Computing ·Nicolás García‐Pedrajas, Javier Pérez-Rodríguez	18
16	A scalable approach to simultaneous evolutionary instance and feature selection 2012 ·Information Sciences ·Nicolás García‐Pedrajas, Aida de Haro-García, Javier Pérez-Rodríguez	37
17	OligoIS: Scalable Instance Selection for Class-Imbalanced Data Sets 2012 ·IEEE Transactions on Cybernetics ·Nicolás García‐Pedrajas, Javier Pérez-Rodríguez, Aida de Haro-García	38
18	An evolutionary algorithm for gene structure prediction 2011 ·Javier Pérez-Rodríguez, Nicolás García‐Pedrajas	4
19	Class imbalance methods for translation initiation site recognition in DNA sequences 2011 ·Knowledge-Based Systems ·Nicolás García‐Pedrajas, Javier Pérez-Rodríguez, María D. García‐Pedrajas, Domingo Ortíz-Boyer, Colin Fyfe	70
20	Nephrogenic Systemic Fibrosis: Incidence, Associations, and Effect of Risk Factor Assessment—Report of 33 Cases 2009 ·Radiology ·Javier Pérez-Rodríguez, (unknown), Benjamin D. Ehst, Derek M. Fine, David A. Bluemke	173

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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