Ricardo Campa
- Control and Systems Engineering top 2%
- Mechanical Engineering top 10%
- Biomedical Engineering
- Aerospace Engineering
- Electrical and Electronic Engineering
- Co-authors
- Víctor SantibáñezRafael KellyJavier Moreno–ValenzuelaJosé Álvarez‐RamírezVictor Manuel Hernández-GuzmánMiguel A. LlamaAlejandro DzulFrancisco Jurado
- Topics
- Robotic Mechanisms and Dynamics (17 papers)Adaptive Control of Nonlinear Systems (13 papers)Iterative Learning Control Systems (13 papers)
- Cited by
- Control and Systems EngineeringMechanical EngineeringComputer Vision and Pattern Recognition
In The Last Decade
Ricardo Campa
42 papers receiving 567 citations
Peers
Comparison fields: 5 of 42
- Control and Systems Engineering 511
- Mechanical Engineering 180
- Biomedical Engineering 88
- Aerospace Engineering 47
- Electrical and Electronic Engineering 46
Countries citing papers authored by Ricardo Campa
This map shows the geographic impact of Ricardo Campa'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 Ricardo Campa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo Campa more than expected).
Fields of papers citing papers by Ricardo Campa
This network shows the impact of papers produced by Ricardo Campa. 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 Ricardo Campa. The network helps show where Ricardo Campa may publish in the future.
Co-authorship network of co-authors of Ricardo Campa
This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Campa. A scholar is included among the top collaborators of Ricardo Campa 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 Ricardo Campa. Ricardo Campa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 23 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 50 | |
| 10 | On Output Feedback Tracking Control of Robot Manipulators with Bounded Torque Input | 27 |
| 11 | 12 | |
| 12 | 5 | |
| 13 | 20 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 45 | |
| 19 | 4 | |
| 20 | 90 |
About Ricardo Campa
Ricardo Campa is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 595 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (17 papers), Adaptive Control of Nonlinear Systems (13 papers) and Iterative Learning Control Systems (13 papers). The work is most often cited by research in Control and Systems Engineering (511 citations), Mechanical Engineering (180 citations) and Computer Vision and Pattern Recognition (42 citations). Ricardo Campa has collaborated with scholars based in Mexico and Spain. Frequent co-authors include Víctor Santibáñez, Rafael Kelly, Javier Moreno–Valenzuela, José Álvarez‐Ramírez, Victor Manuel Hernández-Guzmán, Miguel A. Llama, Alejandro Dzul and Francisco Jurado. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Control Systems Technology and IEEE Transactions on Instrumentation and Measurement.
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.