Raúl Pérez
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 5%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Antonio GonzálezJorge CasillasDavid Escudero GarcíaÓscar CordónLuis CastilloJosé M. BenítezRafael AlcaláJuan Fernández-Olivares
- Topics
- Fuzzy Logic and Control Systems (34 papers)Neural Networks and Applications (18 papers)Evolutionary Algorithms and Applications (14 papers)
In The Last Decade
Raúl Pérez
51 papers receiving 984 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 812
- Computational Theory and Mathematics 137
- Information Systems 118
- Management Science and Operations Research 89
- Control and Systems Engineering 78
Countries citing papers authored by Raúl Pérez
This map shows the geographic impact of Raúl Pérez'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 Raúl Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raúl Pérez more than expected).
Fields of papers citing papers by Raúl Pérez
This network shows the impact of papers produced by Raúl Pérez. 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 Raúl Pérez. The network helps show where Raúl Pérez may publish in the future.
Co-authorship network of co-authors of Raúl Pérez
This figure shows the co-authorship network connecting the top 25 collaborators of Raúl Pérez. A scholar is included among the top collaborators of Raúl Pérez 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 Raúl Pérez. Raúl Pérez 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 | 8 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 72 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 25 | |
| 14 | An inductive approach for learning fuzzy relation rules. | 2 |
| 15 | Current issues and future directions in evolutionary fuzzy systems research. | 1 |
| 16 | 0 | |
| 17 | 112 | |
| 18 | 8 | |
| 19 | 2 | |
| 20 | 17 |
About Raúl Pérez
Raúl Pérez is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Theory and Mathematics, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (34 papers), Neural Networks and Applications (18 papers) and Evolutionary Algorithms and Applications (14 papers). The work is most often cited by research in Artificial Intelligence (812 citations), Statistics and Probability (78 citations) and Computational Theory and Mathematics (137 citations). Raúl Pérez has collaborated with scholars based in Spain, Cuba and Greece. Frequent co-authors include Antonio González, Jorge Casillas, David Escudero García, Óscar Cordón, Luis Castillo, José M. Benítez, Rafael Alcalá, Juan Fernández-Olivares, Rocío Romero‐Zaliz and María José del Jesús. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.
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.