José A. Lozano
- Artificial Intelligence top 0.1%
- Computational Theory and Mathematics top 0.2%
- Computer Networks and Communications top 1%
- Information Systems top 0.5%
- Molecular Biology top 10%
- Co-authors
- Pedro LarrañagaAritz PérezJuan Diego RodríguezIñaki InzaAlexander MendiburuJosé M. PeñaRoberto SantanaJosé Miguel-Alonso
- Topics
- Metaheuristic Optimization Algorithms Research (58 papers)Bayesian Modeling and Causal Inference (44 papers)Evolutionary Algorithms and Applications (29 papers)
- Cited by
- Artificial IntelligenceIndustrial and Manufacturing EngineeringComputational Theory and Mathematics
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaRenewable and Sustainable Energy Reviews
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
José A. Lozano
277 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Artificial Intelligence 4.4k
- Computational Theory and Mathematics 1.2k
- Computer Networks and Communications 1.1k
- Information Systems 1.1k
- Molecular Biology 1.1k
Countries citing papers authored by José A. Lozano
This map shows the geographic impact of José A. Lozano'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 A. Lozano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José A. Lozano more than expected).
Fields of papers citing papers by José A. Lozano
This network shows the impact of papers produced by José A. Lozano. 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 A. Lozano. The network helps show where José A. Lozano may publish in the future.
Co-authorship network of co-authors of José A. Lozano
This figure shows the co-authorship network connecting the top 25 collaborators of José A. Lozano. A scholar is included among the top collaborators of José A. Lozano 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 A. Lozano. José A. Lozano 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 | 2 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 43 | |
| 14 | Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution Algorithms | 1 |
| 15 | 53 | |
| 16 | 42 | |
| 17 | 19 | |
| 18 | 16 | |
| 19 | Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms. | 3 |
| 20 | 25 |
About José A. Lozano
José A. Lozano is a scholar working on Artificial Intelligence, Signal Processing and Industrial and Manufacturing Engineering, having authored 292 papers that have together received 10.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (58 papers), Bayesian Modeling and Causal Inference (44 papers) and Evolutionary Algorithms and Applications (29 papers). The work is most often cited by research in Artificial Intelligence (4.4k citations), Industrial and Manufacturing Engineering (802 citations) and Computational Theory and Mathematics (1.2k citations). José A. Lozano has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Pedro Larrañaga, Aritz Pérez, Juan Diego Rodríguez, Iñaki Inza, Alexander Mendiburu, José M. Peña, Roberto Santana, José Miguel-Alonso, Tania Lorido-Botrán and Usue Mori. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.
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.