Simone Formentin

3.0k total citations
216 papers, 2.2k citations indexed

About

Simone Formentin is a scholar working on Control and Systems Engineering, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Simone Formentin has authored 216 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Control and Systems Engineering, 65 papers in Automotive Engineering and 48 papers in Mechanical Engineering. Recurrent topics in Simone Formentin's work include Control Systems and Identification (109 papers), Fault Detection and Control Systems (73 papers) and Advanced Control Systems Optimization (63 papers). Simone Formentin is often cited by papers focused on Control Systems and Identification (109 papers), Fault Detection and Control Systems (73 papers) and Advanced Control Systems Optimization (63 papers). Simone Formentin collaborates with scholars based in Italy, Netherlands and Switzerland. Simone Formentin's co-authors include Sergio M. Savaresi, Alireza Karimi, Matteo Corno, Valentina Breschi, Luigi del Re, Dario Piga, Fabio Previdi, Alessandro Chiuso, Marco Lovera and Klaske van Heusden and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Simone Formentin

197 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Formentin Italy 24 1.5k 540 388 227 152 216 2.2k
Ali Ghaffari Iran 21 874 0.6× 436 0.8× 428 1.1× 170 0.7× 99 0.7× 95 1.4k
Michal Kvasnica Slovakia 22 2.0k 1.3× 276 0.5× 227 0.6× 566 2.5× 116 0.8× 115 2.6k
Sean Brennan United States 22 522 0.3× 696 1.3× 321 0.8× 242 1.1× 272 1.8× 146 1.6k
Timothy Gordon United Kingdom 23 518 0.3× 970 1.8× 372 1.0× 281 1.2× 344 2.3× 111 1.6k
Chetan S. Kulkarni United States 18 855 0.6× 656 1.2× 202 0.5× 664 2.9× 92 0.6× 107 1.8k
Bart Besselink Netherlands 20 1.3k 0.8× 762 1.4× 261 0.7× 381 1.7× 276 1.8× 79 1.9k
Eduard Petlenkov Estonia 25 1.6k 1.1× 289 0.5× 172 0.4× 697 3.1× 57 0.4× 192 2.4k
Mohammad Biglarbegian Canada 19 621 0.4× 328 0.6× 339 0.9× 337 1.5× 158 1.0× 80 1.7k
Andrzej Ordys United Kingdom 19 1.0k 0.7× 351 0.7× 206 0.5× 98 0.4× 57 0.4× 120 1.4k
Chitralekha Mahanta India 19 1.0k 0.7× 117 0.2× 232 0.6× 375 1.7× 47 0.3× 85 1.5k

Countries citing papers authored by Simone Formentin

Since Specialization
Citations

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

Fields of papers citing papers by Simone Formentin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Formentin

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Formentin. A scholar is included among the top collaborators of Simone Formentin 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 Simone Formentin. Simone Formentin 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.
Formentin, Simone, et al.. (2026). Regularized GLISp for sensor-guided human-in-the-loop optimization. 35. 100368–100368.
2.
Formentin, Simone, et al.. (2025). Twin-in-the-Loop disturbance rejection with application to active suspension systems. European Journal of Control. 86. 101317–101317.
3.
Breschi, Valentina, et al.. (2025). Bias correction and instrumental variables for direct data-driven model-reference control. European Journal of Control. 86. 101327–101327.
4.
Formentin, Simone, et al.. (2024). Efficient tuning for motion control in diverse systems: a Bayesian framework. IFAC-PapersOnLine. 58(15). 354–359.
5.
Breschi, Valentina, et al.. (2024). In-context learning of state estimators. IFAC-PapersOnLine. 58(15). 145–150.
6.
Strada, Silvia, et al.. (2024). Machine learning based car accident risk prediction for usage-based insurance. Intelligent Data Analysis. 29(1). 156–170.
7.
Formentin, Simone, et al.. (2024). Automated Data-Driven Tuning of Learning-Based Model Predictive Control (SelfMPC): A Maximum-Likelihood Approach. Aisberg (University of Bergamo). 104–109.
8.
Breschi, Valentina, et al.. (2023). Model-based and Koopman-based predictive control: a braking control systems comparison. IFAC-PapersOnLine. 56(3). 325–330. 1 indexed citations
9.
Formentin, Simone, et al.. (2023). Data-Driven Optimal Tuning of BLDC Motors With Safety Constraints: A Set Membership Approach. IEEE/ASME Transactions on Mechatronics. 28(4). 1975–1983. 6 indexed citations
10.
Breschi, Valentina, et al.. (2023). On the Impact of Regularization in Data-Driven Predictive Control. TU/e Research Portal. 3061–3066. 5 indexed citations
11.
Mazzoleni, Mirko, et al.. (2022). A kernel-based control approach for multi-period assets allocation based on lower partial moments. Engineering Applications of Artificial Intelligence. 110. 104659–104659. 1 indexed citations
12.
Formentin, Simone, et al.. (2021). Enhancing skyhook for semi-active suspension control via machine learning. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 17. 100161–100161. 18 indexed citations
13.
Formentin, Simone, et al.. (2021). Experimental automatic calibration of a semi-active suspension controller via Bayesian Optimization. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 15 indexed citations
14.
Mazzoleni, Mirko, et al.. (2021). Kernel-based identification of asymptotically stable continuous-time linear dynamical systems. International Journal of Control. 95(6). 1668–1681. 17 indexed citations
15.
Breschi, Valentina, et al.. (2021). Data-driven design of switching reference governors for brake-by-wire applications. 99–110. 1 indexed citations
16.
Mazzoleni, Mirko, et al.. (2020). A Note on the Numerical Solutions of Kernel-Based Learning Problems. IEEE Transactions on Automatic Control. 66(2). 940–947. 11 indexed citations
17.
Breschi, Valentina & Simone Formentin. (2020). Direct Data-Driven Control with Embedded Anti-Windup Compensation.. 46–54. 1 indexed citations
18.
Breschi, Valentina & Simone Formentin. (2020). Virtual Reference Feedback Tuning with data-driven reference model selection. 37–45. 2 indexed citations
19.
Polverini, Matteo Parigi, et al.. (2019). Mixed Data-Driven and Model-Based Robot Implicit Force Control: A Hierarchical Approach. IEEE Transactions on Control Systems Technology. 28(4). 1258–1271. 29 indexed citations
20.
Formentin, Simone, Klaske van Heusden, & Alireza Karimi. (2013). Model-based and data-driven model-reference control: A comparative analysis. Aisberg (University of Bergamo). 1410–1415. 5 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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