F.J. Moreno-Velo
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Automotive Engineering
- Co-authors
- Iluminada BaturoneSantiago Sánchez-SolanoAlejandro CabreraAnı́bal OlleroVíctor BlancoJ. FerruzA. BarrigaPiedad Brox
- Topics
- Fuzzy Logic and Control Systems (15 papers)Neural Networks and Applications (7 papers)Robotic Path Planning Algorithms (6 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionArtificial Intelligence
In The Last Decade
F.J. Moreno-Velo
15 papers receiving 374 citations
Peers
Comparison fields: 5 of 57
- Control and Systems Engineering 193
- Artificial Intelligence 165
- Computer Vision and Pattern Recognition 143
- Electrical and Electronic Engineering 55
- Automotive Engineering 42
Countries citing papers authored by F.J. Moreno-Velo
This map shows the geographic impact of F.J. Moreno-Velo'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 F.J. Moreno-Velo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F.J. Moreno-Velo more than expected).
Fields of papers citing papers by F.J. Moreno-Velo
This network shows the impact of papers produced by F.J. Moreno-Velo. 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 F.J. Moreno-Velo. The network helps show where F.J. Moreno-Velo may publish in the future.
Co-authorship network of co-authors of F.J. Moreno-Velo
This figure shows the co-authorship network connecting the top 25 collaborators of F.J. Moreno-Velo. A scholar is included among the top collaborators of F.J. Moreno-Velo 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 F.J. Moreno-Velo. F.J. Moreno-Velo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 63 | |
| 6 | 114 | |
| 7 | 33 | |
| 8 | 20 | |
| 9 | 9 | |
| 10 | Identifying fuzzy systems from numerical data with Xfuzzy | 3 |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 15 | |
| 14 | 87 | |
| 15 | 2 |
About F.J. Moreno-Velo
F.J. Moreno-Velo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 15 papers that have together received 391 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (15 papers), Neural Networks and Applications (7 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Control and Systems Engineering (193 citations), Computer Vision and Pattern Recognition (143 citations) and Artificial Intelligence (165 citations). F.J. Moreno-Velo has collaborated with scholars based in Spain, Cuba and Mexico. Frequent co-authors include Iluminada Baturone, Santiago Sánchez-Solano, Alejandro Cabrera, Anı́bal Ollero, Víctor Blanco, J. Ferruz, A. Barriga and Piedad Brox. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.
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.