Gonzalo Joya

1.2k total citations
59 papers, 791 citations indexed

About

Gonzalo Joya is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Gonzalo Joya has authored 59 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 15 papers in Electrical and Electronic Engineering and 10 papers in Computer Networks and Communications. Recurrent topics in Gonzalo Joya's work include Neural Networks and Applications (21 papers), Fuzzy Logic and Control Systems (7 papers) and Control Systems and Identification (6 papers). Gonzalo Joya is often cited by papers focused on Neural Networks and Applications (21 papers), Fuzzy Logic and Control Systems (7 papers) and Control Systems and Identification (6 papers). Gonzalo Joya collaborates with scholars based in Spain, Romania and Cuba. Gonzalo Joya's co-authors include F. Sandoval, Miguel Atencia, Francisco García-Lagos, Ignacio Rojas, Joan Cabestany, Ruxandra Stoean, Cătălin Stoean, Andreu Catalá, Luis Velázquez‐Pérez and Abbas Khosravi and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Sensors.

In The Last Decade

Gonzalo Joya

56 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gonzalo Joya Spain 13 329 312 190 184 85 59 791
Yonghua Yin China 15 189 0.6× 185 0.6× 123 0.6× 363 2.0× 59 0.7× 62 713
Jun Zhou China 16 291 0.9× 281 0.9× 266 1.4× 478 2.6× 135 1.6× 117 1.2k
T. Radhika India 12 204 0.6× 106 0.3× 203 1.1× 141 0.8× 61 0.7× 24 555
Gennady Yu. Kulikov Portugal 21 876 2.7× 159 0.5× 88 0.5× 527 2.9× 88 1.0× 115 1.5k
A. Malinowski United States 9 217 0.7× 139 0.4× 67 0.4× 169 0.9× 24 0.3× 43 626
Yasuaki Kuroe Japan 15 288 0.9× 179 0.6× 223 1.2× 289 1.6× 105 1.2× 124 858
Dragan Obradović Germany 17 270 0.8× 288 0.9× 248 1.3× 202 1.1× 84 1.0× 85 962
K. Mehrotra United States 15 585 1.8× 208 0.7× 178 0.9× 113 0.6× 25 0.3× 41 1.0k
Wen Jiang China 13 135 0.4× 191 0.6× 70 0.4× 59 0.3× 40 0.5× 44 574

Countries citing papers authored by Gonzalo Joya

Since Specialization
Citations

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

Fields of papers citing papers by Gonzalo Joya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gonzalo Joya

This figure shows the co-authorship network connecting the top 25 collaborators of Gonzalo Joya. A scholar is included among the top collaborators of Gonzalo Joya 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 Gonzalo Joya. Gonzalo Joya 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.
Stoean, Ruxandra, et al.. (2025). Deep learning event detector from long-term signal variation for seismic activity warning out of Schumann resonance. Knowledge-Based Systems. 328. 114166–114166.
2.
Stoean, Ruxandra, et al.. (2025). A hybrid deep learning approach for enhancing the Lorentzian curve fit algorithm for Schumann resonance. Expert Systems with Applications. 293. 128681–128681. 2 indexed citations
3.
Stoean, Ruxandra, et al.. (2023). Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning. Journal of Cultural Heritage. 64. 198–206. 6 indexed citations
4.
Quintana, Alfonso Ariza, et al.. (2021). Search of the Shortest Path in a Communication Network with Fuzzy Cost Functions. Symmetry. 13(8). 1534–1534. 4 indexed citations
5.
Rojas, Ignacio, et al.. (2021). Advances in Computational Intelligence. Lecture notes in computer science. 6 indexed citations
6.
Atencia, Miguel, Gonzalo Joya, & Francisco García-Lagos. (2019). Advances in computational intelligence. Neural Computing and Applications. 32(2). 309–311. 13 indexed citations
7.
Rojas, Ignacio, Gonzalo Joya, & Joan Cabestany. (2015). Special issue on advances in computational intelligence and machine learning (IWANN 2013). Soft Computing. 19(9). 2403–2405. 1 indexed citations
8.
Atencia, Miguel & Gonzalo Joya. (2015). Hopfield networks: from optimization to adaptive control. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 1–8. 4 indexed citations
9.
10.
Atencia, Miguel, et al.. (2013). Estimation of parameters based on artificial neural networks and threshold of HIV/AIDS epidemic system in Cuba. Mathematical and Computer Modelling. 57(11-12). 2971–2983. 4 indexed citations
11.
Atencia, Miguel, et al.. (2013). The ratio of hidden HIV infection in Cuba. Mathematical Biosciences & Engineering. 10(4). 959–977. 1 indexed citations
12.
Rojas, Ignacio, et al.. (2013). Advances in Computational Intelligence. Lecture notes in computer science. 47 indexed citations
13.
Atencia, Miguel, Gonzalo Joya, & F. Sandoval. (2013). Identification of noisy dynamical systems with parameter estimation based on Hopfield neural networks. Neurocomputing. 121. 14–24. 11 indexed citations
14.
Ezzine, Latifa, Abdeslam Lachhab, Miguel Atencia, et al.. (2011). A methodology for identification of greenhouse humidity based on Recurrent Radial Basis Functions. 8. 17–24. 2 indexed citations
15.
Cabestany, Joan, Ignacio Rojas, & Gonzalo Joya. (2011). Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Mlaga, Spain, June ... Computer Science and General Issues). Springer eBooks. 1 indexed citations
16.
Joya, Gonzalo, et al.. (2006). New Spanish Electrical Power Standard. 994–997. 7 indexed citations
17.
Atencia, Miguel, Gonzalo Joya, & F. Sandoval. (2005). Hopfield Neural Networks for Parametric Identification of Dynamical Systems. Neural Processing Letters. 21(2). 143–152. 27 indexed citations
18.
Atencia, Miguel, Gonzalo Joya, & F. Sandoval. (2004). Gray box identification with hopfield neural networks. 25(1). 54–60. 13 indexed citations
19.
Joya, Gonzalo, Francisco García-Lagos, Miguel Atencia, & F. Sandoval. (2004). Artificial Neural Networks for Energy Management System Applicability and Limitations of the Main Paradigms. RePEc: Research Papers in Economics. 17. 11–28. 2 indexed citations
20.
Atencia, Miguel, Gonzalo Joya, & F. Sandoval. (2004). Parametric identification of robotic systems with stable time-varying Hopfield networks. Neural Computing and Applications. 13(4). 270–280. 25 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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