Adrián González

583 total citations
11 papers, 306 citations indexed

About

Adrián González is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Adrián González has authored 11 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Adrián González's work include Metaheuristic Optimization Algorithms Research (6 papers), Evolutionary Algorithms and Applications (4 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Adrián González is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Evolutionary Algorithms and Applications (4 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Adrián González collaborates with scholars based in Mexico, Germany and Ecuador. Adrián González's co-authors include Erik Cuevas, Fernando Fausto, Arturo Valdivia, Marco Pérez‐Cisneros, Daniel Zaldívar, Raúl Rojas and Bernardo Morales-Castañeda and has published in prestigious journals such as IEEE Access, Energies and Mathematics and Computers in Simulation.

In The Last Decade

Adrián González

11 papers receiving 297 citations

Peers

Adrián González

EEE

CSE

CTM

CVPR

Arturo Valdivia Mexico

Xiao-Zhi Gao Finland

Stavros P. Adam Greece

Keyvan Golalipour Iran

Zhenglei Wei China

Lingyun Deng China

Raghav Prasad Parouha India

Maude Josée Blondin Canada

Yaning Xiao China

Valentín Osuna-Enciso Mexico

Arturo Valdivia Mexico

Adrián González

137 ×0.9

51 ×0.5

EEE

37 ×0.6

CSE

62 ×1.0

CTM

77 ×1.9

CVPR

Citations per year, relative to Adrián González Adrián González (= 1×) peers Arturo Valdivia

Countries citing papers authored by Adrián González

Since Specialization

Citations

This map shows the geographic impact of Adrián González'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 Adrián González with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrián González more than expected).

Fields of papers citing papers by Adrián González

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrián González. 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 Adrián González. The network helps show where Adrián González may publish in the future.

Co-authorship network of co-authors of Adrián González

This figure shows the co-authorship network connecting the top 25 collaborators of Adrián González. A scholar is included among the top collaborators of Adrián González 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 Adrián González. Adrián González is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

González, Adrián, et al.. (2024). Detection of COVID-19: A Metaheuristic-Optimized Maximally Stable Extremal Regions Approach. Symmetry. 16(7). 870–870. 1 indexed citations

Morales-Castañeda, Bernardo, et al.. (2022). A new method to solve rotated template matching using metaheuristic algorithms and the structural similarity index. Mathematics and Computers in Simulation. 206. 130–146. 5 indexed citations

González, Adrián. (2020). Artificial Intelligence as an Art Director. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 16(1). 337–339. 4 indexed citations

Cuevas, Erik, Fernando Fausto, & Adrián González. (2019). New Advancements in Swarm Algorithms: Operators and Applications. Intelligent systems reference library. 56 indexed citations

Pérez‐Cisneros, Marco, et al.. (2018). A Swarm Approach for Improving Voltage Profiles and Reduce Power Loss on Electrical Distribution Networks. IEEE Access. 6. 49498–49512. 33 indexed citations

Cuevas, Erik, et al.. (2018). Ls-II: An Improved Locust Search Algorithm for Solving Optimization Problems. Mathematical Problems in Engineering. 2018. 1–15. 11 indexed citations

Fausto, Fernando, Erik Cuevas, Arturo Valdivia, & Adrián González. (2017). A global optimization algorithm inspired in the behavior of selfish herds. Biosystems. 160. 39–55. 111 indexed citations

González, Adrián, Erik Cuevas, Fernando Fausto, Arturo Valdivia, & Raúl Rojas. (2017). A template matching approach based on the behavior of swarms of locust. Applied Intelligence. 47(4). 1087–1098. 9 indexed citations

Valdivia, Arturo, Daniel Zaldívar, Erik Cuevas, et al.. (2017). A Chaos-Embedded Gravitational Search Algorithm for the Identification of Electrical Parameters of Photovoltaic Cells. Energies. 10(7). 1052–1052. 19 indexed citations

10.

Cuevas, Erik, Adrián González, Fernando Fausto, Daniel Zaldívar, & Marco Pérez‐Cisneros. (2015). Multithreshold Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms. Mathematical Problems in Engineering. 2015. 1–25. 25 indexed citations

11.

Cuevas, Erik, Adrián González, Daniel Zaldívar, & Marco Pérez‐Cisneros. (2015). An optimisation algorithm based on the behaviour of locust swarms. International Journal of Bio-Inspired Computation. 7(6). 402–402. 32 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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