Antonio J. Nebro

6.8k total citations · 3 hit papers
82 papers, 4.1k citations indexed

About

Antonio J. Nebro is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Antonio J. Nebro has authored 82 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computational Theory and Mathematics, 43 papers in Artificial Intelligence and 23 papers in Computer Networks and Communications. Recurrent topics in Antonio J. Nebro's work include Advanced Multi-Objective Optimization Algorithms (53 papers), Metaheuristic Optimization Algorithms Research (36 papers) and Evolutionary Algorithms and Applications (22 papers). Antonio J. Nebro is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (53 papers), Metaheuristic Optimization Algorithms Research (36 papers) and Evolutionary Algorithms and Applications (22 papers). Antonio J. Nebro collaborates with scholars based in Spain, Mexico and Austria. Antonio J. Nebro's co-authors include Juan J. Durillo, Enrique Alba, Francisco Luna, Carlos A. Coello Coello, José García-Nieto, Bernabè Dorronsoro, José F. Aldana‐Montes, Javier Del Ser, José M. Troya and Andreas Beham and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and Molecules.

In The Last Decade

Antonio J. Nebro

80 papers receiving 4.0k 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.

jMetal: A Java framework for multi-objective optimization

2011 791 citations Juan J. Durillo, Antonio J. Nebro profile →
SMPSO: A new PSO-based metaheuristic for multi-objective optimization

2009 475 citations Antonio J. Nebro, Juan J. Durillo et al. profile →
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems

2021 256 citations Javier Del Ser, Antonio J. Nebro et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antonio J. Nebro Spain	29	2.0k	2.0k	590	531	450	82	4.1k
Juan J. Durillo Spain	25	1.5k 0.7×	1.5k 0.7×	943 1.6×	812 1.5×	274 0.6×	44	3.2k
Miqing Li United Kingdom	31	3.6k 1.8×	3.8k 1.9×	771 1.3×	497 0.9×	553 1.2×	105	5.5k
Francisco Luna Spain	23	1.1k 0.5×	1.0k 0.5×	298 0.5×	447 0.8×	223 0.5×	89	2.4k
Ke Li China	32	3.2k 1.6×	2.9k 1.5×	313 0.5×	433 0.8×	259 0.6×	230	5.0k
Yuren Zhou China	31	2.3k 1.1×	1.5k 0.8×	646 1.1×	351 0.7×	263 0.6×	123	3.9k
David A. Van Veldhuizen United States	9	2.7k 1.3×	3.0k 1.5×	254 0.4×	347 0.7×	710 1.6×	18	5.6k
Wei–Neng Chen China	43	3.6k 1.8×	2.1k 1.1×	573 1.0×	919 1.7×	825 1.8×	203	6.5k
Viviane Grunert da Fonseca Portugal	3	1.6k 0.8×	2.0k 1.0×	195 0.3×	198 0.4×	525 1.2×	5	3.1k
Liang Feng China	37	3.7k 1.9×	3.0k 1.5×	233 0.4×	552 1.0×	683 1.5×	161	6.2k

Countries citing papers authored by Antonio J. Nebro

Since Specialization

Citations

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

Fields of papers citing papers by Antonio J. Nebro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio J. Nebro. 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 Antonio J. Nebro. The network helps show where Antonio J. Nebro may publish in the future.

Co-authorship network of co-authors of Antonio J. Nebro

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio J. Nebro. A scholar is included among the top collaborators of Antonio J. Nebro 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 Antonio J. Nebro. Antonio J. Nebro 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

Durillo, Juan J., et al.. (2025). Leveraging large language models for the automatic implementation of problems in optimization frameworks. Engineering Optimization. 1–18.

Roldán‐García, María del Mar, et al.. (2024). MOODY: An ontology-driven framework for standardizing multi-objective evolutionary algorithms. Information Sciences. 661. 120184–120184. 1 indexed citations

Luna, Francisco, et al.. (2024). Landscape-enabled algorithmic design for the cell switch-off problem in 5G ultra-dense networks. Engineering Optimization. 57(1). 309–331. 1 indexed citations

Durillo, Juan J., et al.. (2023). Evolver: Meta-optimizing multi-objective metaheuristics. SoftwareX. 24. 101551–101551. 2 indexed citations

Nebro, Antonio J., et al.. (2022). Is NSGA-II Ready for Large-Scale Multi-Objective Optimization?. Mathematical and Computational Applications. 27(6). 103–103. 14 indexed citations

García-Nieto, José, et al.. (2019). Optimizing ligand conformations in flexible protein targets: a multi-objective strategy. Soft Computing. 24(14). 10705–10719. 1 indexed citations

Nebro, Antonio J., et al.. (2019). jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics. BIRD (Basque Center for Applied Mathematics). 148 indexed citations

García-Nieto, José, et al.. (2019). Bio-inspired optimization for the molecular docking problem: State of the art, recent results and perspectives. Applied Soft Computing. 79. 30–45. 13 indexed citations

Dorronsoro, Bernabè, et al.. (2018). A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME. Information Sciences. 471. 233–251. 79 indexed citations

10.

Nebro, Antonio J., et al.. (2017). M2Align: parallel multiple sequence alignment with a multi-objective metaheuristic. Bioinformatics. 33(19). 3011–3017. 14 indexed citations

11.

Talbi, El‐Ghazali, Matthieu Basseur, Antonio J. Nebro, & Enrique Alba. (2011). Multi‐objective optimization using metaheuristics: non‐standard algorithms. International Transactions in Operational Research. 19(1-2). 283–305. 66 indexed citations

12.

Nebro, Antonio J., Juan J. Durillo, José García-Nieto, et al.. (2009). SMPSO: A new PSO-based metaheuristic for multi-objective optimization. 66–73. 475 indexed citations breakdown →

13.

Durillo, Juan J., Antonio J. Nebro, Francisco Luna, & Enrique Alba. (2008). A study of master-slave approaches to parallelize NSGA-II. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 1–8. 51 indexed citations

14.

Luna, Francisco, Antonio J. Nebro, Enrique Alba, & Juan J. Durillo. (2008). Solving large-scale real-world telecommunication problems using a grid-based genetic algorithm. Engineering Optimization. 40(11). 1067–1084. 21 indexed citations

15.

Nebro, Antonio J., Gabriel Luque, Francisco Luna, & Enrique Alba. (2007). DNA fragment assembly using a grid-based genetic algorithm. Computers & Operations Research. 35(9). 2776–2790. 29 indexed citations

16.

Basseur, Matthieu, El‐Ghazali Talbi, Antonio J. Nebro, & Enrique Alba. (2006). Metaheuristics for multiobjective combinatorial optimization: review and recent issues. 1 indexed citations

17.

Alba, Enrique, Francisco Luna, & Antonio J. Nebro. (2004). Advances in parallel heterogeneous genetic algorithms for continuous optimization. International Journal of Applied Mathematics and Computer Science. 14(3). 317–333. 13 indexed citations

18.

Alba, Enrique, Francisco Luna, Antonio J. Nebro, & José M. Troya. (2004). Parallel heterogeneous genetic algorithms for continuous optimization. Parallel Computing. 30(5-6). 699–719. 42 indexed citations

19.

Nebro, Antonio J., Enrique Alba, Francisco Luna, & José M. Troya. (2002). NET as a Platform for Implementing Concurrent Objects (Research Note). 125–130. 2 indexed citations

20.

Cotta, Carlos, et al.. (2002). Parallel evolutionary algorithms in telecommunications: two case studies. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 4 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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