Genaro Ochoa
Impact in
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- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Control Systems and Identification
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Papers in
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- Adaptive Control of Nonlinear Systems 4
- Magnetic Bearings and Levitation Dynamics 3
- Control and Stability of Dynamical Systems 2
- Robotic Mechanisms and Dynamics 2
- Advanced Control Systems Optimization 2
- Iterative Learning Control Systems 2
- Co-authors
- José de Jesús RubioRicardo BalcázarDavid Ricardo CruzJaime PachecoEnrique GarcíaG. GutiérrezMarco Antonio IslasDante Mújica‐Vargas
In The Last Decade
Genaro Ochoa
18 papers receiving 589 citations
Peers
Comparison fields: 5 of 86
- Control and Systems Engineering 304
- Artificial Intelligence 156
- Computer Vision and Pattern Recognition 81
- Computer Networks and Communications 84
- Computational Theory and Mathematics 40
Countries citing papers authored by Genaro Ochoa
This map shows the geographic impact of Genaro Ochoa'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 Genaro Ochoa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genaro Ochoa more than expected).
Fields of papers citing papers by Genaro Ochoa
This network shows the impact of papers produced by Genaro Ochoa. 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 Genaro Ochoa. The network helps show where Genaro Ochoa may publish in the future.
Co-authors
The 15 scholars most cited alongside Genaro Ochoa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 28 | |
| 2 | 2021 | 45 | |
| 3 | 2021 | 50 | |
| 4 | 2021 | 27 | |
| 5 | 2021 | 69 | |
| 6 | 2020 | 26 | |
| 7 | 2020 | 70 | |
| 8 | 2020 | 43 | |
| 9 | 2020 | 24 | |
| 10 | 2020 | 17 | |
| 11 | 2019 | 20 | |
| 12 | 2019 | 7 | |
| 13 | 2019 | 35 | |
| 14 | 2019 | 72 | |
| 15 | 2019 | 15 | |
| 16 | 2016 | 13 | |
| 17 | 2015 | 42 | |
| 18 | 2015 | 3 |
About Genaro Ochoa
Genaro Ochoa is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering, Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering, having authored 18 papers that have together received 606 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (4 papers), Magnetic Bearings and Levitation Dynamics (3 papers), Energy Load and Power Forecasting (3 papers), Neural Networks and Applications (3 papers), Control and Stability of Dynamical Systems (2 papers), Robotic Mechanisms and Dynamics (2 papers), Advanced Control Systems Optimization (2 papers) and Iterative Learning Control Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (304 citations), Artificial Intelligence (156 citations), Computer Vision and Pattern Recognition (81 citations), Computer Networks and Communications (84 citations) and Computational Theory and Mathematics (40 citations). Genaro Ochoa has collaborated with scholars based in Mexico, Austria and Canada. Frequent co-authors include José de Jesús Rubio, Ricardo Balcázar, David Ricardo Cruz, Jaime Pacheco, Enrique García, G. Gutiérrez, Marco Antonio Islas, Dante Mújica‐Vargas, Jesús Alberto Meda-Campaña and Alejandro Zacarías. Their work appears in journals such as IEEE Access, Information Sciences, Journal of Intelligent & Fuzzy Systems, Applied Sciences and Electronics.
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.