José M. Benítez

8.6k total citations · 3 hit papers
119 papers, 5.8k citations indexed

About

José M. Benítez is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, José M. Benítez has authored 119 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 21 papers in Information Systems and 21 papers in Signal Processing. Recurrent topics in José M. Benítez's work include Neural Networks and Applications (22 papers), Fuzzy Logic and Control Systems (18 papers) and Machine Learning and Data Classification (13 papers). José M. Benítez is often cited by papers focused on Neural Networks and Applications (22 papers), Fuzzy Logic and Control Systems (18 papers) and Machine Learning and Data Classification (13 papers). José M. Benítez collaborates with scholars based in Spain, Belgium and United Kingdom. José M. Benítez's co-authors include Christoph Bergmeir, Francisco Herrera, Juan Luis Castro, Sara del Río, Victoria López, Sergio Ramírez‐Gallego, Salvador García, Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos and Ignacio Requena and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Medicine & Science in Sports & Exercise.

In The Last Decade

José M. Benítez

115 papers receiving 5.6k citations

Hit Papers

align trajectories sort by overperformance

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.

On the use of cross-validation for time series predictor evaluation

2012 667 citations Christoph Bergmeir, José M. Benítez Information Sciences profile →
A review of microarray datasets and applied feature selection methods

2014 462 citations Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos et al. Information Sciences profile →
Big data preprocessing: methods and prospects

2016 399 citations Salvador García, Sergio Ramírez‐Gallego et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
José M. Benítez Spain	36	2.6k	879	806	780	634	119	5.8k
Junjie Wu China	37	2.6k 1.0×	805 0.9×	912 1.1×	557 0.7×	768 1.2×	191	6.1k
Igor Kononenko Slovenia	26	3.7k 1.5×	1.1k 1.3×	904 1.1×	504 0.6×	372 0.6×	117	7.9k
Simon Fong Macao	39	2.8k 1.1×	942 1.1×	934 1.2×	536 0.7×	328 0.5×	428	7.1k
Kate Smith‐Miles Australia	40	2.2k 0.9×	1.2k 1.4×	519 0.6×	799 1.0×	740 1.2×	213	6.4k
Oded Maimon Israel	32	2.4k 0.9×	663 0.8×	1.0k 1.3×	503 0.6×	363 0.6×	136	6.8k
Mikel Galar Spain	31	4.2k 1.6×	1.0k 1.2×	672 0.8×	457 0.6×	655 1.0×	92	6.5k
Naren Ramakrishnan United States	41	2.1k 0.8×	704 0.8×	1.1k 1.3×	690 0.9×	341 0.5×	355	5.9k
Miroslav Kubát United States	23	4.4k 1.7×	821 0.9×	1.0k 1.3×	589 0.8×	389 0.6×	97	6.5k
André C. P. L. F. de Carvalho Brazil	46	4.2k 1.6×	1.1k 1.2×	903 1.1×	721 0.9×	248 0.4×	372	8.0k
Stan Matwin Canada	36	4.3k 1.7×	664 0.8×	1.3k 1.7×	607 0.8×	264 0.4×	263	6.8k

Countries citing papers authored by José M. Benítez

Since Specialization

Citations

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

Fields of papers citing papers by José M. Benítez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Benítez. 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 José M. Benítez. The network helps show where José M. Benítez may publish in the future.

Co-authorship network of co-authors of José M. Benítez

This figure shows the co-authorship network connecting the top 25 collaborators of José M. Benítez. A scholar is included among the top collaborators of José M. Benítez 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 José M. Benítez. José M. Benítez 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

Araúzo-Azofra, Antonio, et al.. (2025). A Combined Approach Using T2*-Weighted Dynamic Susceptibility Contrast MRI Perfusion Parameters and Radiomics to Differentiate Between Radionecrosis and Glioma Progression: A Proof-of-Concept Study. Life. 15(4). 606–606. 1 indexed citations

Ramos‐Bossini, Antonio Jesús Láinez, et al.. (2025). Efficacy of Percutaneous Vertebroplasty Versus Placebo and Conservative Treatment in Osteoporotic Vertebral Fractures: An Updated Systematic Review and Meta-Analysis of Randomized Clinical Trials. Diagnostics. 15(21). 2684–2684.

Ramos‐Bossini, Antonio Jesús Láinez, et al.. (2024). A Comparative Analysis of International Classification Systems to Predict the Risk of Collapse in Single-Level Osteoporotic Vertebral Fractures. Diagnostics. 14(19). 2152–2152. 1 indexed citations

Benítez, José M., et al.. (2024). Optimizing Convolutional Neural Network Architectures. Mathematics. 12(19). 3032–3032. 3 indexed citations

Atemezing, Ghislain Auguste, et al.. (2018). Data Mining definition services in Cloud Computing with Linked Data.. arXiv (Cornell University). 1 indexed citations

Bergmeir, Christoph, et al.. (2017). Self-labeling techniques for semi-supervised time series classification: an empirical study. Knowledge and Information Systems. 55(2). 493–528. 18 indexed citations

Ramírez‐Gallego, Sergio, David Martínez‐Rego, Verónica Bolón‐Canedo, et al.. (2017). An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark. IEEE Transactions on Systems Man and Cybernetics Systems. 48(9). 1441–1453. 59 indexed citations

Peralta, Daniel, Salvador García, José M. Benítez, & Francisco Herrera. (2017). Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks. Information Sciences. 408. 198–212. 27 indexed citations

Benítez, José M., et al.. (2017). SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification. Progress in Artificial Intelligence. 6(4). 347–354. 16 indexed citations

10.

Ramírez‐Gallego, Sergio, et al.. (2016). A Forecasting Methodology for Workload Forecasting in Cloud Systems. IEEE Transactions on Cloud Computing. 6(4). 929–941. 37 indexed citations

11.

Bergmeir, Christoph & José M. Benítez. (2016). Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS. SHILAP Revista de lepidopterología. 26 indexed citations

12.

Peralta, Daniel, Mikel Galar, Isaac Triguero, et al.. (2014). Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms. Engineering Applications of Artificial Intelligence. 32. 37–53. 24 indexed citations

13.

Río, Sara del, Victoria López, José M. Benítez, & Francisco Herrera. (2014). On the use of MapReduce for imbalanced big data using Random Forest. Information Sciences. 285. 112–137. 232 indexed citations

14.

Bergmeir, Christoph, Mauro Costantini, & José M. Benítez. (2014). On the usefulness of cross-validation for directional forecast evaluation. Computational Statistics & Data Analysis. 76. 132–143. 60 indexed citations

15.

Risco, David, Alfredo García Sánchez, Emmanuel Serrano, et al.. (2013). High-Density Dependence But Low Impact on Selected Reproduction Parameters ofBrucella suisBiovar 2 in Wild Boar Hunting Estates from South-Western Spain. Transboundary and Emerging Diseases. 61(6). 555–562. 17 indexed citations

16.

Fatehi, Kamal & José M. Benítez. (2012). Convergence Forces: The Slow March toward Homogeneity, or De Facto Standardization?. DigitalCommons - Kennesaw State University (Kennesaw State University). 10(2). 80. 1 indexed citations

17.

Bergmeir, Christoph, Miguel García-Silvente, & José M. Benítez. (2012). Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework. Computer Methods and Programs in Biomedicine. 107(3). 497–512. 95 indexed citations

18.

García‐Pedrajas, Nicolás, Francisco Herrera, José M. Benítez, Colin Fyfe, & Moonis Ali. (2010). Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III. 1 indexed citations

19.

Alcalá, Rafael, et al.. (2009). Distributed Genetic Tuning of Fuzzy Rule-Based Systems. European Society for Fuzzy Logic and Technology Conference. 1740–1744. 1 indexed citations

20.

Aranda, Daniel Arias, José M. Benítez, & J.M. Zurita. (2005). Applying Fuzzy Logic to Operations Management Research.. 88–93. 1 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