David Martínez‐Rego

1.5k total citations · 1 hit paper
28 papers, 940 citations indexed

About

David Martínez‐Rego is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Martínez‐Rego has authored 28 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 6 papers in Control and Systems Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Martínez‐Rego's work include Data Stream Mining Techniques (6 papers), Neural Networks and Applications (6 papers) and Fault Detection and Control Systems (5 papers). David Martínez‐Rego is often cited by papers focused on Data Stream Mining Techniques (6 papers), Neural Networks and Applications (6 papers) and Fault Detection and Control Systems (5 papers). David Martínez‐Rego collaborates with scholars based in Spain, United Kingdom and United States. David Martínez‐Rego's co-authors include Amparo Alonso‐Betanzos, Óscar Fontenla-Romero, Sergio Ramírez‐Gallego, Verónica Bolón‐Canedo, Francisco Herrera, José M. Benítez, Leslie Kanthan, Fan Fang, Michail Basios and Fan Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

David Martínez‐Rego

27 papers receiving 910 citations

Hit Papers

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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.

Cryptocurrency trading: a comprehensive survey

2022 233 citations Leslie Kanthan, David Martínez‐Rego et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David Martínez‐Rego	345	220	155	120	109	28	940
Jozef Zurada	320 0.9×	90 0.4×	98 0.6×	192 1.6×	58 0.5×	74	1.1k
Rozaida Ghazali	676 2.0×	220 1.0×	87 0.6×	66 0.6×	171 1.6×	110	1.3k
Salah Bouktif	330 1.0×	449 2.0×	73 0.5×	46 0.4×	88 0.8×	50	1.4k
Dae-Ki Kang	569 1.6×	180 0.8×	52 0.3×	30 0.3×	137 1.3×	91	1.1k
Carlos Castro	403 1.2×	58 0.3×	70 0.5×	82 0.7×	65 0.6×	72	927
Jiangtao Ren	599 1.7×	160 0.7×	48 0.3×	61 0.5×	125 1.1×	72	1.1k
Szu-Hao Huang	273 0.8×	144 0.7×	30 0.2×	139 1.2×	251 2.3×	59	1.1k
Soman K.P.	567 1.6×	156 0.7×	87 0.6×	83 0.7×	125 1.1×	59	1.5k
Ahmed S. Alfakeeh	378 1.1×	113 0.5×	41 0.3×	76 0.6×	171 1.6×	42	963

Countries citing papers authored by David Martínez‐Rego

Since Specialization

Citations

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

Fields of papers citing papers by David Martínez‐Rego

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Martínez‐Rego. 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 David Martínez‐Rego. The network helps show where David Martínez‐Rego may publish in the future.

Co-authorship network of co-authors of David Martínez‐Rego

This figure shows the co-authorship network connecting the top 25 collaborators of David Martínez‐Rego. A scholar is included among the top collaborators of David Martínez‐Rego 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 David Martínez‐Rego. David Martínez‐Rego 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

Martínez‐Rego, David, et al.. (2025). Cost-sensitive reinforcement learning for credit risk. Expert Systems with Applications. 272. 126708–126708.

Rodríguez, D., et al.. (2025). BTS U-Net: A data-driven approach to brain tumor segmentation through deep learning. Biomedical Signal Processing and Control. 104. 107490–107490. 3 indexed citations

Martínez‐Rego, David, et al.. (2020). Fast Distributed k NN Graph Construction Using Auto-tuned Locality-sensitive Hashing. ACM Transactions on Intelligent Systems and Technology. 11(6). 1–18. 11 indexed citations

Martínez‐Rego, David, et al.. (2019). Large scale anomaly detection in mixed numerical and categorical input spaces. Information Sciences. 487. 115–127. 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

Kanthan, Leslie, et al.. (2017). Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing.. The European Symposium on Artificial Neural Networks. 1 indexed citations

Bolón‐Canedo, Verónica, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez‐Rego, & Amparo Alonso‐Betanzos. (2017). Algorithmic challenges in big data analytics.. The European Symposium on Artificial Neural Networks. 4 indexed citations

Pavisic, Ivanna M., Nicholas C. Firth, David Martínez‐Rego, et al.. (2017). Eyetracking Metrics in Young Onset Alzheimer’s Disease: A Window into Cognitive Visual Functions. Frontiers in Neurology. 8. 377–377. 61 indexed citations

Fontenla-Romero, Óscar, et al.. (2016). A fast learning algorithm for high dimensional problems: an application to microarrays.. The European Symposium on Artificial Neural Networks. 1 indexed citations

10.

Donini, Michele, David Martínez‐Rego, Martin Goodson, John Shawe‐Taylor, & Massimiliano Pontil. (2016). Distributed variance regularized Multitask Learning. 28. 3101–3109. 4 indexed citations

11.

Martínez‐Rego, David, et al.. (2015). Stream change detection via passive-aggressive classification and Bernoulli CUSUM. Information Sciences. 305. 130–145. 11 indexed citations

12.

Ramírez‐Gallego, Sergio, et al.. (2015). Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. 2015 IEEE Trustcom/BigDataSE/ISPA. 33–40. 14 indexed citations

13.

Ramírez‐Gallego, Sergio, Salvador García, David Martínez‐Rego, et al.. (2015). Data discretization: taxonomy and big data challenge. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 6(1). 5–21. 111 indexed citations

14.

Martínez‐Rego, David, Enrique Castillo, Óscar Fontenla-Romero, & Amparo Alonso‐Betanzos. (2013). A Minimum Volume Covering Approach with a Set of Ellipsoids. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(12). 2997–3009. 5 indexed citations

15.

Martínez‐Rego, David, et al.. (2012). One-class classifier based on extreme value statistics.. The European Symposium on Artificial Neural Networks. 1 indexed citations

16.

Martínez‐Rego, David, et al.. (2012). Automatic bearing fault diagnosis based on one-class ν-SVM. Computers & Industrial Engineering. 64(1). 357–365. 143 indexed citations

17.

Martínez‐Rego, David, Óscar Fontenla-Romero, & Amparo Alonso‐Betanzos. (2012). Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios. Pattern Recognition. 45(12). 4536–4546. 11 indexed citations

18.

Martínez‐Rego, David, Óscar Fontenla-Romero, & Amparo Alonso‐Betanzos. (2011). Power wind mill fault detection via one-class ν-SVM vibration signal analysis. 7. 511–518. 17 indexed citations

19.

Martínez‐Rego, David, Óscar Fontenla-Romero, & Amparo Alonso‐Betanzos. (2010). Efficiency of local models ensembles for time series prediction. Expert Systems with Applications. 38(6). 6884–6894. 14 indexed citations

20.

Martínez‐Rego, David, Óscar Fontenla-Romero, & Amparo Alonso‐Betanzos. (2008). A Method for Time Series Prediction using a Combination of Linear Models. The European Symposium on Artificial Neural Networks. 295–300. 10 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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