Fernando E. B. Otero

1.3k total citations
48 papers, 595 citations indexed

About

Fernando E. B. Otero is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Fernando E. B. Otero has authored 48 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 12 papers in Information Systems and 9 papers in Molecular Biology. Recurrent topics in Fernando E. B. Otero's work include Metaheuristic Optimization Algorithms Research (27 papers), Evolutionary Algorithms and Applications (21 papers) and Data Mining Algorithms and Applications (11 papers). Fernando E. B. Otero is often cited by papers focused on Metaheuristic Optimization Algorithms Research (27 papers), Evolutionary Algorithms and Applications (21 papers) and Data Mining Algorithms and Applications (11 papers). Fernando E. B. Otero collaborates with scholars based in United Kingdom, Brazil and Spain. Fernando E. B. Otero's co-authors include Alex A. Freitas, Colin G. Johnson, Michael Kampouridis, Khalid M. Salama, David Camacho, Héctor D. Menéndez, Ashraf M. Abdelbar, Gisele L. Pappa, Ayah Helal and Antonio D. Masegosa and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Fernando E. B. Otero

46 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando E. B. Otero United Kingdom 13 428 167 94 75 54 48 595
Tirath Prasad Sahu India 13 307 0.7× 77 0.5× 77 0.8× 44 0.6× 63 1.2× 44 482
Manuel Valenzuela-Rendón Mexico 10 319 0.7× 25 0.1× 186 2.0× 73 1.0× 27 0.5× 27 584
Jinglu Hu Japan 11 276 0.6× 50 0.3× 63 0.7× 42 0.6× 17 0.3× 52 427
Zhiwang Zhang China 11 171 0.4× 50 0.3× 42 0.4× 52 0.7× 12 0.2× 41 408
Chien‐Feng Huang Taiwan 10 108 0.3× 61 0.4× 204 2.2× 39 0.5× 13 0.2× 52 448
Vikram Pudi India 13 368 0.9× 268 1.6× 38 0.4× 89 1.2× 23 0.4× 54 587
LI Cheng-hui China 2 276 0.6× 124 0.7× 21 0.2× 29 0.4× 26 0.5× 8 472
Milton García-Borroto Mexico 14 357 0.8× 190 1.1× 17 0.2× 51 0.7× 18 0.3× 24 576
Yanchao Tan China 11 216 0.5× 152 0.9× 33 0.4× 11 0.1× 18 0.3× 39 397
Władysław Homenda Poland 11 482 1.1× 77 0.5× 213 2.3× 222 3.0× 8 0.1× 62 656

Countries citing papers authored by Fernando E. B. Otero

Since Specialization
Citations

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

Fields of papers citing papers by Fernando E. B. Otero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando E. B. Otero. 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 Fernando E. B. Otero. The network helps show where Fernando E. B. Otero may publish in the future.

Co-authorship network of co-authors of Fernando E. B. Otero

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

All Works

20 of 20 papers shown
1.
Otero, Fernando E. B., et al.. (2025). Fairness-Guided Pruning of Decision Trees. Kent Academic Repository (University of Kent). 1745–1756.
2.
Otero, Fernando E. B., et al.. (2024). Multiple fairness criteria in decision tree learning. Applied Soft Computing. 167. 112313–112313. 2 indexed citations
3.
Helal, Ayah & Fernando E. B. Otero. (2022). Data stream classification with ant colony optimisation. International Journal of Intelligent Systems. 37(9). 5725–5751. 1 indexed citations
4.
Otero, Fernando E. B., et al.. (2022). Nested trees for longitudinal classification. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 441–444. 4 indexed citations
5.
Otero, Fernando E. B., et al.. (2021). A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification. IEEE Access. 9. 127278–127292. 7 indexed citations
6.
Kampouridis, Michael, et al.. (2021). Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms. International Journal of Intelligent Systems. 36(12). 7609–7640. 6 indexed citations
7.
Otero, Fernando E. B., et al.. (2020). Exploratory path planning for mobile robots in dynamic environments with ant colony optimization. Kent Academic Repository (University of Kent). 40–48. 3 indexed citations
8.
Helal, Ayah, et al.. (2018). Archive-Based Pheromone Model for Discovering Regression Rules with Ant Colony Optimization. Kent Academic Repository (University of Kent). 1–7. 1 indexed citations
9.
Menéndez, Héctor D., Fernando E. B. Otero, & David Camacho. (2017). Extending the SACOC algorithm through the Nyström method for dense manifold data analysis. International Journal of Bio-Inspired Computation. 10(2). 127–127. 2 indexed citations
10.
Menéndez, Héctor D., Fernando E. B. Otero, & David Camacho. (2016). Medoid-based clustering using ant colony optimization. Swarm Intelligence. 10(2). 123–145. 27 indexed citations
11.
Otero, Fernando E. B., et al.. (2016). Using an Ant Colony Optimization Algorithm for Monotonic Regression Rule Discovery. Kent Academic Repository (University of Kent). 437–444. 1 indexed citations
12.
Otero, Fernando E. B., et al.. (2016). Revisiting the Sequential Symbolic Regression Genetic Programming. Kent Academic Repository (University of Kent). 3. 163–168. 1 indexed citations
13.
Menéndez, Héctor D., Fernando E. B. Otero, & David Camacho. (2015). SACOC: A spectral-based ACO clustering algorithm. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations
14.
Otero, Fernando E. B., et al.. (2015). An ant colony-based semi-supervised approach for learning classification rules. Swarm Intelligence. 9(4). 315–341. 11 indexed citations
15.
Otero, Fernando E. B., et al.. (2014). Metodología de enseñanza de los deportes de invasión en primaria. Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte. 14(53). 69–87. 4 indexed citations
16.
Otero, Fernando E. B., et al.. (2013). Nature Inspired Cooperative Strategies for Optimization (NICSO 2013): Learning, Optimization and Interdisciplinary Applications. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 5 indexed citations
17.
Salama, Khalid M. & Fernando E. B. Otero. (2013). Using a unified measure function for heuristics, discretization, and rule quality evaluation in Ant-Miner. Kent Academic Repository (University of Kent). 9. 900–907. 4 indexed citations
18.
Otero, Fernando E. B., Alex A. Freitas, & Colin G. Johnson. (2012). Inducing decision trees with an ant colony optimization algorithm. Applied Soft Computing. 12(11). 3615–3626. 92 indexed citations
19.
Otero, Fernando E. B., Colin G. Johnson, Alex A. Freitas, & Simon Thompson. (2010). Refactoring in Automatically Generated Programs. Kent Academic Repository (University of Kent). 9 indexed citations
20.
Otero, Fernando E. B., Alex A. Freitas, & Colin G. Johnson. (2009). Handling continuous attributes in Ant Colony Classification algorithms. Kent Academic Repository (University of Kent). 40 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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