Enrique Baeyens
- Control and Systems Engineering top 1%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 10%
- Civil and Structural Engineering top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Juan Carlos GómezPramod P. KhargonekarKameshwar PoollaMario A. RoteaAlberto HerrerosJosé R. PeránEilyan BitarPratyush Chakraborty
- Topics
- Control Systems and Identification (11 papers)Smart Grid Energy Management (8 papers)Structural Health Monitoring Techniques (7 papers)
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringArtificial Intelligence
- Partner nations
- SpainUnited StatesArgentina
In The Last Decade
Enrique Baeyens
42 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 77
- Control and Systems Engineering 707
- Electrical and Electronic Engineering 335
- Artificial Intelligence 139
- Civil and Structural Engineering 87
- Computer Networks and Communications 62
Countries citing papers authored by Enrique Baeyens
This map shows the geographic impact of Enrique Baeyens'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 Enrique Baeyens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrique Baeyens more than expected).
Fields of papers citing papers by Enrique Baeyens
This network shows the impact of papers produced by Enrique Baeyens. 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 Enrique Baeyens. The network helps show where Enrique Baeyens may publish in the future.
Co-authorship network of co-authors of Enrique Baeyens
This figure shows the co-authorship network connecting the top 25 collaborators of Enrique Baeyens. A scholar is included among the top collaborators of Enrique Baeyens 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 Enrique Baeyens. Enrique Baeyens 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 | 2 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 53 | |
| 7 | 12 | |
| 8 | 17 | |
| 9 | 10 | |
| 10 | 92 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | Hammerstein and Wiener model identification using rational orthonrmal bases | 8 |
| 18 | 79 | |
| 19 | 8 | |
| 20 | 102 |
About Enrique Baeyens
Enrique Baeyens is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Computational Theory and Mathematics, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Control Systems and Identification (11 papers), Smart Grid Energy Management (8 papers) and Structural Health Monitoring Techniques (7 papers). The work is most often cited by research in Control and Systems Engineering (707 citations), Electrical and Electronic Engineering (335 citations) and Artificial Intelligence (139 citations). Enrique Baeyens has collaborated with scholars based in Spain, United States and Argentina. Frequent co-authors include Juan Carlos Gómez, Pramod P. Khargonekar, Kameshwar Poolla, Mario A. Rotea, Alberto Herreros, José R. Perán, Eilyan Bitar, Pratyush Chakraborty, Arthur Jutan and Pravin Varaiya. Their work appears in journals such as IEEE Transactions on Power Systems, Sensors and IEEE Transactions on Smart Grid.
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.