Antonio Berlanga

1.1k total citations
70 papers, 684 citations indexed

About

Antonio Berlanga is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Antonio Berlanga has authored 70 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 21 papers in Computational Theory and Mathematics. Recurrent topics in Antonio Berlanga's work include Metaheuristic Optimization Algorithms Research (26 papers), Advanced Multi-Objective Optimization Algorithms (19 papers) and Evolutionary Algorithms and Applications (16 papers). Antonio Berlanga is often cited by papers focused on Metaheuristic Optimization Algorithms Research (26 papers), Advanced Multi-Objective Optimization Algorithms (19 papers) and Evolutionary Algorithms and Applications (16 papers). Antonio Berlanga collaborates with scholars based in Spain, Brazil and Mexico. Antonio Berlanga's 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 and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Antonio Berlanga

62 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Berlanga Spain 16 304 215 151 110 84 70 684
Jochen Hipp Germany 9 307 1.0× 222 1.0× 147 1.0× 89 0.8× 49 0.6× 19 878
Junqi Zhang China 14 319 1.0× 126 0.6× 166 1.1× 55 0.5× 96 1.1× 64 771
Shahram Mohanna Iran 9 308 1.0× 99 0.5× 80 0.5× 76 0.7× 92 1.1× 25 678
Tatsuya Okabe Germany 8 349 1.1× 340 1.6× 36 0.2× 42 0.4× 80 1.0× 12 757
Marco A. Montes de Belgium 12 694 2.3× 426 2.0× 83 0.5× 43 0.4× 114 1.4× 24 1.1k
Ali Asghar Pourhaji Kazem Iran 9 338 1.1× 131 0.6× 91 0.6× 36 0.3× 106 1.3× 22 905
Ghodrat Sepidnam Iran 4 198 0.7× 73 0.3× 67 0.4× 36 0.3× 59 0.7× 11 462
Giacomo Nannicini United States 14 191 0.6× 144 0.7× 52 0.3× 20 0.2× 75 0.9× 41 634

Countries citing papers authored by Antonio Berlanga

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Patricio, Miguel Á., et al.. (2024). Analyzing feature importance with neural-network-derived trees. Neural Computing and Applications. 37(5). 3419–3433. 1 indexed citations
2.
Patricio, Miguel Á., et al.. (2024). Classification of the difficulty of a climbing route using the transformation of representation spaces and cascading classifier ensemble (CCE). Engineering Applications of Artificial Intelligence. 138. 109359–109359.
3.
Patricio, Miguel Á., et al.. (2023). Seamless Transition From Machine Learning on the Cloud to Industrial Edge Devices With Thinger.io. IEEE Internet of Things Journal. 10(18). 16548–16563. 7 indexed citations
4.
Patricio, Miguel Á., et al.. (2022). CONEqNet: convolutional music equalizer network. Multimedia Tools and Applications. 82(3). 3911–3930. 1 indexed citations
5.
Molina, José M., et al.. (2021). Minimum Relevant Features to Obtain Explainable Systems for Predicting Cardiovascular Disease Using the Statlog Data Set. Applied Sciences. 11(3). 1285–1285. 15 indexed citations
6.
Patricio, Miguel Á., et al.. (2021). Variational autoencoders for anomaly detection in the behaviour of the elderly using electricity consumption data. Expert Systems. 39(4). 14 indexed citations
7.
Patricio, Miguel Á., et al.. (2020). Optimization of the ISP Parameters of a Camera Through Differential Evolution. IEEE Access. 8. 143479–143493. 4 indexed citations
8.
Patricio, Miguel Á., et al.. (2019). A super-resolution enhancement of UAV images based on a convolutional neural network for mobile devices. Personal and Ubiquitous Computing. 26(4). 1193–1204. 12 indexed citations
9.
Berlanga, Antonio. (2016). El camino desde la Inteligencia Artificial al Big Data. 9–11. 2 indexed citations
10.
Martí, Luis, Jesús Garcı́a, Antonio Berlanga, & José M. Molina. (2012). Multi-objective optimization with an adaptive resonance theory-based estimation of distribution algorithm. Annals of Mathematics and Artificial Intelligence. 68(4). 247–273. 5 indexed citations
11.
Berlanga, Antonio, et al.. (2012). InContexto: Multisensor Architecture to Obtain People Context from Smartphones. International Journal of Distributed Sensor Networks. 8(4). 758789–758789. 15 indexed citations
12.
Berlanga, Antonio, et al.. (2011). inContexto: A fusion architecture to obtain mobile context. International Conference on Information Fusion. 1–8. 5 indexed citations
13.
Dotú, Iván, Miguel Á. Patricio, Antonio Berlanga, Jesús Garcı́a, & José M. Molina. (2010). Boosting video tracking performance by means of Tabu Search in intelligent visual surveillance systems. Journal of Heuristics. 17(4). 415–440. 7 indexed citations
14.
Patricio, Miguel Á., Jesús Garcı́a, Antonio Berlanga, & José M. Molina. (2008). Solving video-association problem with explicit evaluation of hypothesis using EDAs. 9. 2629–2636. 3 indexed citations
15.
Garcı́a, Jesús, Antonio Berlanga, & José M. Molina. (2007). Evolutionary algorithms in multiply-specified engineering. The MOEAs and WCES strategies. Advanced Engineering Informatics. 21(1). 3–21. 5 indexed citations
16.
Garcı́a, Jesús, Antonio Berlanga, José M. Molina, & José R. Casar. (2005). Optimization of airport ground operations integrating genetic and dynamic flow management algorithms. AI Communications. 18(2). 143–164. 35 indexed citations
17.
Garcı́a, Jesús, et al.. (2005). Data fusion alternatives for the integration of millimetre radar in airport surveillance systems. 73. 796–801. 4 indexed citations
18.
Besada, Juan A., et al.. (2005). Design of IMM filter for radar tracking using evolution strategies. IEEE Transactions on Aerospace and Electronic Systems. 41(3). 1109–1122. 14 indexed citations
19.
Berlanga, Antonio, Jesús Garcı́a, José M. Molina, J.L. Besada, & Javier Portillo. (2003). OCR parameters tuning by means of evolution strategies for aircraft's tail number recognition. 1. 902–907. 3 indexed citations
20.
Berlanga, Antonio, Araceli Sanchis, Pedro Isasi, & José M. Molina. (2002). Neural Network Controller against Environment: A Coevolutive approach to Generalize Robot Navigation Behavior. Journal of Intelligent & Robotic Systems. 33(2). 139–166. 5 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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