José R. Perán
- Control and Systems Engineering top 2%
- Mechanical Engineering top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Luis MiguelAníbal ReñonesEnrique BaeyensAlberto HerrerosLuisa F. VillaEduardo ZalamaPilar PoncelaJavier V. Gómez
- Topics
- Fault Detection and Control Systems (14 papers)Machine Fault Diagnosis Techniques (9 papers)Robotic Path Planning Algorithms (5 papers)
- Cited by
- Control and Systems EngineeringIndustrial and Manufacturing EngineeringMechanical Engineering
- Journals
- Applied EnergyMechanical Systems and Signal ProcessingThe International Journal of Advanced Manufacturing Technology
- Partner nations
- SpainSwedenUnited Kingdom
In The Last Decade
José R. Perán
40 papers receiving 582 citations
Peers
Comparison fields: 5 of 62
- Control and Systems Engineering 385
- Mechanical Engineering 200
- Artificial Intelligence 94
- Electrical and Electronic Engineering 94
- Computer Vision and Pattern Recognition 82
Countries citing papers authored by José R. Perán
This map shows the geographic impact of José R. Perán'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 José R. Perán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José R. Perán more than expected).
Fields of papers citing papers by José R. Perán
This network shows the impact of papers produced by José R. Perán. 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 José R. Perán. The network helps show where José R. Perán may publish in the future.
Co-authorship network of co-authors of José R. Perán
This figure shows the co-authorship network connecting the top 25 collaborators of José R. Perán. A scholar is included among the top collaborators of José R. Perán 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 José R. Perán. José R. Perán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 64 | |
| 2 | 34 | |
| 3 | 8 | |
| 4 | 32 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | Diagnosis and Control in Induction Motor with Extended Kalman Filter. | 2 |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 79 | |
| 12 | 49 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 18 | |
| 18 | 8 | |
| 19 | 3 | |
| 20 | 6 |
About José R. Perán
José R. Perán is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 625 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (14 papers), Machine Fault Diagnosis Techniques (9 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Control and Systems Engineering (385 citations), Industrial and Manufacturing Engineering (71 citations) and Mechanical Engineering (200 citations). José R. Perán has collaborated with scholars based in Spain, Sweden and United Kingdom. Frequent co-authors include Luis Miguel, Aníbal Reñones, Enrique Baeyens, Alberto Herreros, Luisa F. Villa, Eduardo Zalama, Pilar Poncela, Javier V. Gómez, F. Javier García and Roberto Medina. Their work appears in journals such as Applied Energy, Mechanical Systems and Signal Processing and The International Journal of Advanced Manufacturing Technology.
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.