I. Alvarado
- Control and Systems Engineering top 0.5%
- Advanced Control Systems Optimization 31
- Fault Detection and Control Systems 28
- Control Systems and Identification 17
- Adaptive Control of Nonlinear Systems 5
- Advanced Control Systems Design 3
- Process Optimization and Integration 3
- Automotive Engineering top 10%
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- Experimental Learning in Engineering 4
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- Problem and Project Based Learning 2
I. Alvarado
39 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Control and Systems Engineering 1.4k
- Automotive Engineering 61
- Computer Networks and Communications 109
- Computer Vision and Pattern Recognition 68
- Energy Engineering and Power Technology 8
Countries citing papers authored by I. Alvarado
This map shows the geographic impact of I. Alvarado'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 I. Alvarado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Alvarado more than expected).
Fields of papers citing papers by I. Alvarado
This network shows the impact of papers produced by I. Alvarado. 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 I. Alvarado. The network helps show where I. Alvarado may publish in the future.
Co-authorship network
The 25 scholars most cited alongside I. Alvarado, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | Real-time implementation of MPC for tracking in embedded systems: application to a two-wheeled inverted pendulum | 2022 | 3 |
| 6 | Implementation of model predictive control for tracking in embedded systems using a sparse extended ADMM algorithm | 2022 | 15 |
| 7 | Tractable robust MPC design based on nominal predictions | 2022 | 7 |
| 8 | 2022 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 132 | |
| 14 | 2016 | 4 | |
| 15 | 2011 | 26 | |
| 16 | 2008 | 33 | |
| 17 | 2008 | 17 | |
| 18 | 2006 | 6 | |
| 19 | 2006 | 16 | |
| 20 | 2005 | 86 |
About I. Alvarado
I. Alvarado is a scholar working on Control and Systems Engineering, Architecture, Media Technology, Communication and Orthopedics and Sports Medicine, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (31 papers), Fault Detection and Control Systems (28 papers), Control Systems and Identification (17 papers), Adaptive Control of Nonlinear Systems (5 papers), Experimental Learning in Engineering (4 papers), Advanced Control Systems Design (3 papers), Process Optimization and Integration (3 papers) and Problem and Project Based Learning (2 papers). The work is most often cited by research in Control and Systems Engineering (1.4k citations), Automotive Engineering (61 citations), Computer Networks and Communications (109 citations), Computer Vision and Pattern Recognition (68 citations) and Energy Engineering and Power Technology (8 citations). I. Alvarado has collaborated with scholars based in Spain, Argentina and Germany. Frequent co-authors include Daniel Limón, Teodoro Álamo, Eduardo F. Camacho, Antonio Ferramosca, David Muñoz de la Peña, Miguel A. Ridao, J. M. Maestre, Rudy R. Negenborn, Felipe Valencia and Jairo Espinosa. Their work appears in journals such as Automatica, Journal of Process Control, IEEE Transactions on Automatic Control, Acta Astronautica and International Journal of Adaptive Control and Signal Processing.
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.