Mikel Galar

9.4k total citations · 4 hit papers
92 papers, 6.5k citations indexed

About

Mikel Galar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Mikel Galar has authored 92 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 31 papers in Computer Vision and Pattern Recognition and 13 papers in Media Technology. Recurrent topics in Mikel Galar's work include Imbalanced Data Classification Techniques (32 papers), Machine Learning and Data Classification (19 papers) and Fuzzy Logic and Control Systems (17 papers). Mikel Galar is often cited by papers focused on Imbalanced Data Classification Techniques (32 papers), Machine Learning and Data Classification (19 papers) and Fuzzy Logic and Control Systems (17 papers). Mikel Galar collaborates with scholars based in Spain, Saudi Arabia and Belgium. Mikel Galar's co-authors include Francisco Herrera, Alberto Fernández, Humberto Bustince, Edurne Barrenechea, Bartosz Krawczyk, Salvador García, Ronaldo C. Prati, José Sanz, Mikel Elkano and José A. Sáez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Mikel Galar

89 papers receiving 6.3k 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.

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

2011 2.0k citations Mikel Galar, Alberto Fernández et al. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) profile →
Learning from Imbalanced Data Sets

2018 834 citations Alberto Fernández, Mikel Galar et al. profile →
An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes

2011 573 citations Mikel Galar, Alberto Fernández et al. Pattern Recognition profile →
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling

2013 311 citations Mikel Galar, Alberto Fernández et al. Pattern Recognition profile →

Peers

Mikel Galar

EEE

CVPR

MSOR

Julián Luengo Spain

Bartosz Krawczyk Poland

Edurne Barrenechea Spain

Nathalie Japkowicz Canada

Miroslav Kubát United States

José M. Benítez Spain

Tony Van Gestel Belgium

Stan Matwin Canada

Igor Kononenko Slovenia

Robert C. Holte Canada

Julián Luengo Spain

Mikel Galar

6.3k ×1.5

988 ×0.9

EEE

1.4k ×1.4

CVPR

1.1k ×1.6

456 ×0.7

MSOR

Citations per year, relative to Mikel Galar Mikel Galar (= 1×) peers Julián Luengo

Countries citing papers authored by Mikel Galar

Since Specialization

Citations

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

Fields of papers citing papers by Mikel Galar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikel Galar

This figure shows the co-authorship network connecting the top 25 collaborators of Mikel Galar. A scholar is included among the top collaborators of Mikel Galar 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 Mikel Galar. Mikel Galar 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

Saínz, Miguel, et al.. (2025). Improving diabetic retinopathy screening using artificial intelligence: design, evaluation and before-and-after study of a custom development. Frontiers in Digital Health. 7. 1547045–1547045. 2 indexed citations

Galar, Mikel, et al.. (2025). A deep learning approach to jointly super-resolve and despeckle Sentinel-1 imagery. Acta Astronautica. 238. 1396–1407.

Paternain, Daniel, et al.. (2024). Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(8). 5209–5226. 14 indexed citations

Sesma‐Sara, Mikel, et al.. (2024). Enhancing DreamBooth With LoRA for Generating Unlimited Characters With Stable Diffusion. Academica-e (Universidad Pública de Navarra). 1–8. 3 indexed citations

Triguero, Isaac & Mikel Galar. (2023). Large-Scale Data Analytics with Python and Spark. Cambridge University Press eBooks. 2 indexed citations

Paternain, Daniel, et al.. (2021). A Study of OWA Operators Learned in Convolutional Neural Networks. Applied Sciences. 11(16). 7195–7195. 7 indexed citations

Elkano, Mikel, José Sanz, Edurne Barrenechea, Humberto Bustince, & Mikel Galar. (2019). CFM-BD: A Distributed Rule Induction Algorithm for Building Compact Fuzzy Models in Big Data Classification Problems. IEEE Transactions on Fuzzy Systems. 28(1). 163–177. 34 indexed citations

Krawczyk, Bartosz, Mikel Galar, Michał Woźniak, Humberto Bustince, & Francisco Herrera. (2018). Dynamic ensemble selection for multi-class classification with one-class classifiers. Pattern Recognition. 83. 34–51. 63 indexed citations

Sanz, José, et al.. (2017). A new survival status prediction system for severe trauma patients based on a multiple classifier system. Computer Methods and Programs in Biomedicine. 142. 1–8. 16 indexed citations

10.

Galar, Mikel, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, & Francisco Herrera. (2016). NMC: nearest matrix classification – A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem. Information Fusion. 36. 26–51. 16 indexed citations

11.

Galar, Mikel, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, & Francisco Herrera. (2016). Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets. Information Sciences. 354. 178–196. 80 indexed citations

12.

Krawczyk, Bartosz, Mikel Galar, Łukasz Jeleń, & Francisco Herrera. (2015). Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. Applied Soft Computing. 38. 714–726. 195 indexed citations

13.

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

14.

Galar, Mikel, Alberto Fernández, Edurne Barrenechea, & Francisco Herrera. (2014). DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems. Pattern Recognition. 48(1). 28–42. 70 indexed citations

15.

Galar, Mikel, Edurne Barrenechea, Alberto Fernández, & Francisco Herrera. (2014). Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions. International Conference on Information Fusion. 1–8. 1 indexed citations

16.

López-Molina, Carlos, et al.. (2013). A generalization of the Perona-Malik anisotropic diffusion method using restricted dissimilarity functions. International Journal of Computational Intelligence Systems. 6(1). 14–14. 5 indexed citations

17.

Galar, Mikel, Aránzazu Jurío, Carlos López-Molina, et al.. (2013). Aggregation functions to combine RGB color channels in stereo matching. Optics Express. 21(1). 1247–1247. 15 indexed citations

18.

Galar, Mikel, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, & Francisco Herrera. (2011). A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 42(4). 463–484. 2006 indexed citations breakdown →

19.

Galar, Mikel, Javier Fernández, Gleb Beliakov, & Humberto Bustince. (2011). Interval-Valued Fuzzy Sets Applied to Stereo Matching of Color Images. IEEE Transactions on Image Processing. 20(7). 1949–1961. 54 indexed citations

20.

Paternain, Daniel, et al.. (2009). Image reduction with interval-valued fuzzy sets and OWA operators. European Society for Fuzzy Logic and Technology Conference. 754–759. 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.

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