Antonio Berlanga
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Control and Systems Engineering top 10%
- Co-authors
- José M. MolinaJesús Garcı́aLuis MartíMiguel Á. PatricioJosé R. CasarPedro IsasiAraceli SanchisJuan A. Besada
- Topics
- Metaheuristic Optimization Algorithms Research (26 papers)Advanced Multi-Objective Optimization Algorithms (19 papers)Evolutionary Algorithms and Applications (16 papers)
In The Last Decade
Antonio Berlanga
62 papers receiving 642 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 304
- Computational Theory and Mathematics 215
- Computer Vision and Pattern Recognition 151
- Aerospace Engineering 110
- Control and Systems Engineering 84
Countries citing papers authored by Antonio Berlanga
This map shows the geographic impact of Antonio Berlanga'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 Berlanga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Berlanga more than expected).
Fields of papers citing papers by Antonio Berlanga
This network shows the impact of papers produced by Antonio Berlanga. 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 Berlanga. The network helps show where Antonio Berlanga may publish in the future.
Co-authorship network of co-authors of Antonio Berlanga
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Berlanga. A scholar is included among the top collaborators of Antonio Berlanga 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 Berlanga. Antonio Berlanga 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 | 7 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 15 | |
| 7 | 4 | |
| 8 | 12 | |
| 9 | El camino desde la Inteligencia Artificial al Big Data | 2 |
| 10 | 5 | |
| 11 | inContexto: A fusion architecture to obtain mobile context | 5 |
| 12 | 43 | |
| 13 | 3 | |
| 14 | 27 | |
| 15 | Optimization of airport ground operations integrating genetic and dynamic flow management algorithms | 35 |
| 16 | 4 | |
| 17 | 14 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 0 |
About Antonio Berlanga
Antonio Berlanga is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 70 papers that have together received 684 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (26 papers), Advanced Multi-Objective Optimization Algorithms (19 papers) and Evolutionary Algorithms and Applications (16 papers). The work is most often cited by research in Computational Theory and Mathematics (215 citations), Artificial Intelligence (304 citations) and Computer Vision and Pattern Recognition (151 citations). Antonio Berlanga has collaborated with scholars based in Spain, Brazil and Mexico. Frequent co-authors include José M. Molina, Jesús Garcı́a, Luis Martí, Miguel Á. Patricio, José R. Casar, Pedro Isasi, Araceli Sanchis, Juan A. Besada, Rodrigo Cilla and Javier Portillo. Their work appears in journals such as IEEE Access, Information Sciences and IEEE Transactions on Evolutionary Computation.
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.