Alejandro H. González

1.6k total citations
85 papers, 1.1k citations indexed

About

Alejandro H. González is a scholar working on Control and Systems Engineering, Molecular Biology and Surgery. According to data from OpenAlex, Alejandro H. González has authored 85 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Control and Systems Engineering, 15 papers in Molecular Biology and 8 papers in Surgery. Recurrent topics in Alejandro H. González's work include Advanced Control Systems Optimization (63 papers), Fault Detection and Control Systems (40 papers) and Control Systems and Identification (18 papers). Alejandro H. González is often cited by papers focused on Advanced Control Systems Optimization (63 papers), Fault Detection and Control Systems (40 papers) and Control Systems and Identification (18 papers). Alejandro H. González collaborates with scholars based in Argentina, Brazil and Italy. Alejandro H. González's co-authors include Antonio Ferramosca, Darci Odloak, Jacinto L. Marchetti, Pablo S. Rivadeneira, Daniel Limón, Eduardo F. Camacho, Eduardo J. Adam, A.G. Marchetti, Jose Perez and Esteban A. Hernandez‐Vargas and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and AIChE Journal.

In The Last Decade

Alejandro H. González

78 papers receiving 1.0k citations

Peers

Alejandro H. González

CSE

EDM

SURGE

EEE

Antonio Ferramosca Argentina

Yazdan Batmani Iran

Fernando Ornelas-Téllez Mexico

Darci Odloak Brazil

Ching-Yin Lee Taiwan

Tsung‐Ying Lee Taiwan

Dinesh Krishnamoorthy Norway

Pantelis Sopasakis Italy

Yutaka Matsuo Japan

Gianluca Frison Germany

Antonio Ferramosca Argentina

Alejandro H. González

1.1k ×1.3

CSE

121 ×1.0

EDM

117 ×1.0

SURGE

128 ×1.2

136 ×1.5

EEE

Citations per year, relative to Alejandro H. González Alejandro H. González (= 1×) peers Antonio Ferramosca

Countries citing papers authored by Alejandro H. González

Since Specialization

Citations

This map shows the geographic impact of Alejandro H. González'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 Alejandro H. González with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro H. González more than expected).

Fields of papers citing papers by Alejandro H. González

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro H. González. 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 Alejandro H. González. The network helps show where Alejandro H. González may publish in the future.

Co-authorship network of co-authors of Alejandro H. González

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro H. González. A scholar is included among the top collaborators of Alejandro H. González 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 Alejandro H. González. Alejandro H. González is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

González, Alejandro H., et al.. (2025). Invariant set theory for predicting potential failure of antibiotic cycling. Infectious Disease Modelling. 10(3). 897–908. 2 indexed citations

González, Alejandro H., et al.. (2024). Artificial Neural Networks for Energy Demand Prediction in an Economic MPC‐Based Energy Management System. International Journal of Robust and Nonlinear Control. 35(2). 642–658.

Previdi, Fabio, et al.. (2024). Artificial Pancreas under stable pulsatile Model Predictive Control: including the Physical Activity effect*. Aisberg (University of Bergamo). 4028–4033. 2 indexed citations

Ferramosca, Antonio, et al.. (2024). Pulsatile Zone MPC with asymmetric stationary cost for artificial pancreas based on a non-standard IOB constraint. Journal of Process Control. 136. 103191–103191. 2 indexed citations

González, Alejandro H., et al.. (2023). Simplified design of practically stable MPC schemes. Systems & Control Letters. 180. 105626–105626. 5 indexed citations

Hernandez‐Vargas, Esteban A., et al.. (2023). Computing Control Invariant Sets for Waiting-Time Switched Systems: A Study Case of Glucose Regulation. IEEE Control Systems Letters. 7. 3114–3119. 1 indexed citations

Limache, Alejandro Cesar, et al.. (2023). Tracking periodic parametric references using model predictive control. International Journal of Robust and Nonlinear Control. 33(13). 7452–7470. 3 indexed citations

González, Alejandro H., et al.. (2023). A scenario-based economic-stochastic model predictive control for the management of microgrids. Sustainable Energy Grids and Networks. 36. 101205–101205. 3 indexed citations

González, Alejandro H., et al.. (2023). A Scenario-Based Economic-Stochastic Model Predictive Control for the Management of Microgrids. SSRN Electronic Journal. 1 indexed citations

10.

Ferramosca, Antonio, et al.. (2023). Switched NMPC for epidemiological and social-economic control objectives in SIR-type systems. Annual Reviews in Control. 56. 100901–100901.

11.

Brodmann, Stefanie, et al.. (2023). Social Protection in a World of Crisis: Learning from the Response to the COVID-19 Pandemic in Eastern Europe and the South Caucasus. Washington, DC: World Bank eBooks. 1 indexed citations

12.

González, Alejandro H., et al.. (2022). Economic model predictive control for energy management of a microgrid connected to the main electrical grid. Journal of Process Control. 117. 40–51. 22 indexed citations

13.

Ferramosca, Antonio, et al.. (2022). Minimizing the epidemic final size while containing the infected peak prevalence in SIR systems. Automatica. 144. 110496–110496. 15 indexed citations

14.

Ferramosca, Antonio, et al.. (2021). Cyclic control equilibria for switched systems with applications to ecological systems. International Journal of Robust and Nonlinear Control. 33(9). 5159–5175. 6 indexed citations

15.

Ferramosca, Antonio, et al.. (2021). Model predictive control for optimal social distancing in a type SIR-switched model. IFAC-PapersOnLine. 54(15). 251–256. 9 indexed citations

16.

González, Alejandro H., et al.. (2019). Stochastic model predictive control for tracking linear systems. Optimal Control Applications and Methods. 41(1). 65–83. 16 indexed citations

17.

Ferramosca, Antonio, et al.. (2019). Obstacle Avoiding Path Following based on Nonlinear Model Predictive Control using Artificial Variables. Aisberg (University of Bergamo). 254–259. 2 indexed citations

18.

González, Alejandro H., et al.. (2018). A robust economic MPC for changing economic criterion. International Journal of Robust and Nonlinear Control. 28(15). 4404–4423. 9 indexed citations

19.

González, Alejandro H., et al.. (2018). Finite‐time convergence results in robust model predictive control. Optimal Control Applications and Methods. 39(5). 1627–1637. 10 indexed citations

20.

Álamo, Teodoro, Antonio Ferramosca, Alejandro H. González, Daniel Limón, & Darci Odloak. (2014). A gradient-based strategy for the one-layer RTO+MPC controller. Journal of Process Control. 24(4). 435–447. 26 indexed citations

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.

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