Antonio Ferramosca

2.3k total citations
111 papers, 1.4k citations indexed

About

Antonio Ferramosca is a scholar working on Control and Systems Engineering, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Antonio Ferramosca has authored 111 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Control and Systems Engineering, 12 papers in Surgery and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Antonio Ferramosca's work include Advanced Control Systems Optimization (76 papers), Fault Detection and Control Systems (47 papers) and Control Systems and Identification (22 papers). Antonio Ferramosca is often cited by papers focused on Advanced Control Systems Optimization (76 papers), Fault Detection and Control Systems (47 papers) and Control Systems and Identification (22 papers). Antonio Ferramosca collaborates with scholars based in Argentina, Italy and Spain. Antonio Ferramosca's co-authors include Daniel Limón, Alejandro H. González, Eduardo F. Camacho, I. Alvarado, Teodoro Álamo, Pablo S. Rivadeneira, Darci Odloak, Guilherme V. Raffo, A.G. Marchetti and James B. Rawlings and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Access.

In The Last Decade

Antonio Ferramosca

92 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Antonio Ferramosca Argentina 20 1.1k 136 128 121 117 111 1.4k
Alejandro H. González Argentina 20 823 0.8× 90 0.7× 104 0.8× 127 1.0× 123 1.1× 85 1.1k
Grégory François Switzerland 16 583 0.5× 100 0.7× 36 0.3× 43 0.4× 30 0.3× 52 920
Gabriele Pannocchia Italy 22 2.0k 1.9× 273 2.0× 130 1.0× 18 0.1× 21 0.2× 118 2.5k
Darci Odloak Brazil 26 1.6k 1.5× 74 0.5× 112 0.9× 21 0.2× 17 0.1× 114 1.7k
Νικόλαος Αθανασόπουλος Greece 15 268 0.3× 90 0.7× 72 0.6× 30 0.2× 18 0.2× 75 917
Chun Wei China 18 725 0.7× 1.1k 8.2× 277 2.2× 19 0.2× 44 0.4× 69 1.7k
Miroslav Fikar Slovakia 17 756 0.7× 166 1.2× 70 0.5× 6 0.0× 9 0.1× 131 1.2k
Anil Kumar Yadav India 27 683 0.6× 917 6.7× 93 0.7× 10 0.1× 8 0.1× 132 1.8k
Muhammad Abid Pakistan 18 719 0.7× 162 1.2× 17 0.1× 17 0.1× 16 0.1× 76 943

Countries citing papers authored by Antonio Ferramosca

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Ferramosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Ferramosca. 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 Antonio Ferramosca. The network helps show where Antonio Ferramosca may publish in the future.

Co-authorship network of co-authors of Antonio Ferramosca

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

All Works

20 of 20 papers shown
1.
Previdi, Fabio, et al.. (2025). Artificial Intelligence tool for prediction of ECM mimics hydrogel formulations via click chemistry. Biomaterials Advances. 175. 214323–214323. 9 indexed citations
2.
Ferramosca, Antonio, et al.. (2025). Partially cooperative robust distributed model predictive control for tracking. Automatica. 182. 112547–112547.
3.
Previtali, Davide, et al.. (2024). Grey-box modelling and identification of the industrial oven of a shrink tunnel. IFAC-PapersOnLine. 58(15). 55–60.
4.
5.
Previtali, Davide, et al.. (2024). Model-based design of the temperature controller of a shrink tunnel. IFAC-PapersOnLine. 58(14). 49–54.
6.
7.
Sendra, Amalia Luque, Mirko Mazzoleni, Ana de las Heras, et al.. (2024). The Role of Kano Model in Revealing the Most Significant Physicochemical Properties of Wines. IEEE Access. 12. 169733–169747.
8.
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.
9.
Ferramosca, Antonio, et al.. (2023). Set-point tracking MPC with avoidance features. Automatica. 159. 111390–111390. 7 indexed citations
10.
González, Alejandro H., et al.. (2023). Simplified design of practically stable MPC schemes. Systems & Control Letters. 180. 105626–105626. 5 indexed citations
11.
Carrasco, Alejandro, et al.. (2023). Screening of Machine Learning Techniques on Predictive Maintenance: a Scoping Review. DYNA. 99(2). 159–165. 2 indexed citations
12.
Sendra, Amalia Luque, Mirko Mazzoleni, Francisco Zamora‐Polo, et al.. (2023). Determining the Importance of Physicochemical Properties in the Perceived Quality of Wines. IEEE Access. 11. 115430–115449. 4 indexed citations
13.
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
14.
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
15.
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
16.
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
17.
Sendra, Amalia Luque, Mirko Mazzoleni, Alejandro Carrasco, & Antonio Ferramosca. (2021). Visualizing Classification Results: Confusion Star and Confusion Gear. IEEE Access. 10. 1659–1677. 15 indexed citations
18.
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
19.
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
20.
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

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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