Antonio J. Nebro
- Artificial Intelligence top 0.5%
- Computational Theory and Mathematics top 0.1%
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Industrial and Manufacturing Engineering top 1%
- Co-authors
- Juan J. DurilloEnrique AlbaFrancisco LunaCarlos A. Coello CoelloJosé García-NietoBernabè DorronsoroJosé F. Aldana‐MontesJavier Del Ser
- Topics
- Advanced Multi-Objective Optimization Algorithms (53 papers)Metaheuristic Optimization Algorithms Research (36 papers)Evolutionary Algorithms and Applications (22 papers)
In The Last Decade
Antonio J. Nebro
80 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 2.0k
- Computational Theory and Mathematics 2.0k
- Information Systems 590
- Computer Networks and Communications 531
- Industrial and Manufacturing Engineering 450
Countries citing papers authored by Antonio J. Nebro
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 148 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 79 | |
| 11 | 14 | |
| 12 | 36 | |
| 13 | 5 | |
| 14 | 66 | |
| 15 | 28 | |
| 16 | SMPSO: A new PSO-based metaheuristic for multi-objective optimizationbreakdown → | 475 |
| 17 | Advances in parallel heterogeneous genetic algorithms for continuous optimization | 13 |
| 18 | 42 | |
| 19 | Parallel evolutionary algorithms in telecommunications: two case studies | 4 |
| 20 | NET as a Platform for Implementing Concurrent Objects (Research Note) | 2 |
About Antonio J. Nebro
Antonio J. Nebro is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Software, having authored 82 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (53 papers), Metaheuristic Optimization Algorithms Research (36 papers) and Evolutionary Algorithms and Applications (22 papers). The work is most often cited by research in Computational Theory and Mathematics (2.0k citations), Software (284 citations) and Artificial Intelligence (2.0k citations). Antonio J. Nebro has collaborated with scholars based in Spain, Mexico and Austria. Frequent 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, Andreas Beham and José M. Troya. Their work appears in journals such as Bioinformatics, Expert Systems with Applications and Molecules.
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.