José-María Peña
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Industrial and Manufacturing Engineering top 5%
- Automotive Engineering top 10%
- Co-authors
- Antonio LaTorreSantiago MuelasAntoine JérusalemJayaratnam JayamohanRuth E. BakerAlexander MendiburuJesús A. Garcı́aRiyi Shi
- Topics
- Metaheuristic Optimization Algorithms Research (14 papers)Evolutionary Algorithms and Applications (13 papers)Advanced Multi-Objective Optimization Algorithms (12 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Partner nations
- SpainUnited KingdomFrance
In The Last Decade
José-María Peña
31 papers receiving 813 citations
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 436
- Computational Theory and Mathematics 333
- Molecular Biology 91
- Industrial and Manufacturing Engineering 70
- Automotive Engineering 61
Countries citing papers authored by José-María Peña
This map shows the geographic impact of José-María Peña'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 José-María Peña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José-María Peña more than expected).
Fields of papers citing papers by José-María Peña
This network shows the impact of papers produced by José-María Peña. 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 José-María Peña. The network helps show where José-María Peña may publish in the future.
Co-authorship network of co-authors of José-María Peña
This figure shows the co-authorship network connecting the top 25 collaborators of José-María Peña. A scholar is included among the top collaborators of José-María Peña 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 José-María Peña. José-María Peña 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 | 0 | |
| 3 | 10 | |
| 4 | 11 | |
| 5 | 232 | |
| 6 | 2 | |
| 7 | 18 | |
| 8 | 33 | |
| 9 | 3 | |
| 10 | 95 | |
| 11 | 15 | |
| 12 | 31 | |
| 13 | 12 | |
| 14 | Genomic evaluation using machine learning algorithms in the Spanish Holstein population | 2 |
| 15 | 49 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 22 | |
| 19 | Evolving Q-learners for stochastic games: Study on video game agent controllers | 1 |
| 20 | 5 |
About José-María Peña
José-María Peña is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Biophysics, having authored 34 papers that have together received 830 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (14 papers), Evolutionary Algorithms and Applications (13 papers) and Advanced Multi-Objective Optimization Algorithms (12 papers). The work is most often cited by research in Computational Theory and Mathematics (333 citations), Artificial Intelligence (436 citations) and Industrial and Manufacturing Engineering (70 citations). José-María Peña has collaborated with scholars based in Spain, United Kingdom and France. Frequent co-authors include Antonio LaTorre, Santiago Muelas, Antoine Jérusalem, Jayaratnam Jayamohan, Ruth E. Baker, Alexander Mendiburu, Jesús A. Garcı́a, Riyi Shi, Alex A. Freitas and Jesús Montes. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and AIAA Journal.
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.