Gonzalo Joya
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 5%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- F. SandovalMiguel AtenciaFrancisco García-LagosIgnacio RojasJoan CabestanyRuxandra StoeanCătălin StoeanAndreu Catalá
- Topics
- Neural Networks and Applications (21 papers)Fuzzy Logic and Control Systems (7 papers)Control Systems and Identification (6 papers)
In The Last Decade
Gonzalo Joya
56 papers receiving 764 citations
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 329
- Electrical and Electronic Engineering 312
- Computer Networks and Communications 190
- Control and Systems Engineering 184
- Statistical and Nonlinear Physics 85
Countries citing papers authored by Gonzalo Joya
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | A methodology for identification of greenhouse humidity based on Recurrent Radial Basis Functions | 2 |
| 15 | Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Mlaga, Spain, June ... Computer Science and General Issues) | 1 |
| 16 | 7 | |
| 17 | 27 | |
| 18 | Artificial Neural Networks for Energy Management System Applicability and Limitations of the Main Paradigms | 2 |
| 19 | Gray box identification with hopfield neural networks | 13 |
| 20 | 25 |
About Gonzalo Joya
Gonzalo Joya is a scholar working on Artificial Intelligence, Space and Planetary Science and Statistical and Nonlinear Physics, having authored 59 papers that have together received 791 indexed citations. Recurring topics across this work include Neural Networks and Applications (21 papers), Fuzzy Logic and Control Systems (7 papers) and Control Systems and Identification (6 papers). The work is most often cited by research in Artificial Intelligence (329 citations), Computer Networks and Communications (190 citations) and Control and Systems Engineering (184 citations). Gonzalo Joya has collaborated with scholars based in Spain, Romania and Cuba. Frequent co-authors include F. Sandoval, Miguel Atencia, Francisco García-Lagos, Ignacio Rojas, Joan Cabestany, Ruxandra Stoean, Cătălin Stoean, Andreu Catalá, Luis Velázquez‐Pérez and Moloud Abdar. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and Sensors.
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.