Alessandro Saccon

1.2k total citations
65 papers, 751 citations indexed

About

Alessandro Saccon is a scholar working on Control and Systems Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Alessandro Saccon has authored 65 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Control and Systems Engineering, 19 papers in Mechanical Engineering and 18 papers in Automotive Engineering. Recurrent topics in Alessandro Saccon's work include Dynamics and Control of Mechanical Systems (17 papers), Vehicle Dynamics and Control Systems (16 papers) and Control and Dynamics of Mobile Robots (12 papers). Alessandro Saccon is often cited by papers focused on Dynamics and Control of Mechanical Systems (17 papers), Vehicle Dynamics and Control Systems (16 papers) and Control and Dynamics of Mobile Robots (12 papers). Alessandro Saccon collaborates with scholars based in Netherlands, United States and Italy. Alessandro Saccon's co-authors include John Hauser, Henk Nijmeijer, A. Pedro Aguiar, Nathan van de Wouw, John R. Hauser, R. Frezza, Alessandro Beghi, A. Pascoal, Silvio Traversaro and Jochen Trumpf and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and International Journal for Numerical Methods in Engineering.

In The Last Decade

Alessandro Saccon

62 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Saccon Netherlands 15 516 197 172 150 148 65 751
Bram Demeulenaere Belgium 15 948 1.8× 71 0.4× 244 1.4× 297 2.0× 258 1.7× 51 1.3k
Shengchao Zhen China 20 777 1.5× 145 0.7× 148 0.9× 229 1.5× 115 0.8× 101 1.0k
A. Nikoobin Iran 15 579 1.1× 39 0.2× 175 1.0× 163 1.1× 148 1.0× 44 711
Alejandro Donaire Australia 21 1.2k 2.2× 69 0.4× 101 0.6× 101 0.7× 35 0.2× 83 1.3k
Marco M. Nicotra United States 16 598 1.2× 97 0.5× 60 0.3× 63 0.4× 205 1.4× 62 877
Biao Lu China 18 1.3k 2.5× 298 1.5× 82 0.5× 462 3.1× 60 0.4× 52 1.4k
Stéphane Victor France 14 540 1.0× 119 0.6× 30 0.2× 58 0.4× 122 0.8× 55 739
M. R. Homaeinezhad Iran 20 479 0.9× 68 0.3× 296 1.7× 118 0.8× 42 0.3× 97 1.3k
Hiroaki Fukushima Japan 15 583 1.1× 60 0.3× 212 1.2× 132 0.9× 164 1.1× 56 959

Countries citing papers authored by Alessandro Saccon

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Saccon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Saccon

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Saccon. A scholar is included among the top collaborators of Alessandro Saccon 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 Alessandro Saccon. Alessandro Saccon 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.
Saccon, Alessandro, et al.. (2025). Data-efficient extremum-seeking control using kernel-based function approximation. Automatica. 181. 112506–112506.
2.
Kheddar, Abderrahmane, et al.. (2024). Editorial Introduction to the IEEE T-RO Special Collection on Impact-Aware Robotics. IEEE Transactions on Robotics. 40. i–iv.
3.
Padois, Vincent, et al.. (2024). Refined Post-Impact Velocity Prediction for Torque-Controlled Flexible-Joint Robots. IEEE Robotics and Automation Letters. 9(4). 3267–3274. 5 indexed citations
4.
Kostić, Dragan, et al.. (2024). Data-Based Settling-Time Optimization for Linear Feedback Control Systems Using Global Extremum Seeking. IEEE Transactions on Control Systems Technology. 33(1). 343–353.
5.
Wouw, Nathan van de, et al.. (2024). Quadratic Programming-Based Reference Spreading Control for Dual-Arm Robotic Manipulation With Planned Simultaneous Impacts. IEEE Transactions on Robotics. 40. 3341–3355. 3 indexed citations
6.
Kostić, Dragan, et al.. (2023). Settling Time Optimization in Wire Bonder Systems via Extremum-Seeking Control1. IFAC-PapersOnLine. 56(2). 10301–10306. 1 indexed citations
7.
Abdolshah, Saeed, et al.. (2023). Aim-Aware Collision Monitoring: Discriminating Between Expected and Unexpected Post-Impact Behaviors. IEEE Robotics and Automation Letters. 8(8). 4609–4616. 4 indexed citations
8.
Traversaro, Silvio, et al.. (2022). Efficient geometric linearization of moving-base rigid robot dynamics. The Journal of Geometric Mechanics. 14(4). 507–543. 2 indexed citations
9.
Wouw, Nathan van de, et al.. (2022). Robot Control for Simultaneous Impact tasks via Quadratic Programming-based Reference Spreading. 2022 American Control Conference (ACC). 3865–3872. 8 indexed citations
10.
Bernardino, Alexandre, et al.. (2022). Model-Based 6D Visual Object Tracking with Impact Collision Models. 2022 American Control Conference (ACC). 3850–3856. 2 indexed citations
11.
Wouw, Nathan van de, et al.. (2019). Sensitivity analysis for trajectories of nonsmooth mechanical systems with simultaneous impacts: a hybrid systems perspective. TU/e Research Portal. 3623–3629. 7 indexed citations
12.
Biemond, J., et al.. (2019). Hybrid Systems With State-Triggered Jumps: Sensitivity-Based Stability Analysis With Application to Trajectory Tracking. IEEE Transactions on Automatic Control. 65(11). 4568–4583. 13 indexed citations
13.
Saccon, Alessandro, et al.. (2019). The Effect of Controller Design on Delayed Bilateral Teleoperation Performance: An Experimental Comparison. IEEE Transactions on Control Systems Technology. 28(5). 1727–1740. 6 indexed citations
14.
Traversaro, Silvio, et al.. (2017). Control of humanoid robot motions with impacts: Numerical experiments with reference spreading control. TU/e Research Portal. 4102–4107. 21 indexed citations
15.
Bruschetta, Mattia, Giorgio Picci, & Alessandro Saccon. (2014). A variational integrators approach to second order modeling and identification of linear mechanical systems. Automatica. 50(3). 727–736. 8 indexed citations
16.
Saccon, Alessandro, et al.. (2012). Cooperative Motion Planning for Multiple Autonomous Marine Vehicles. IFAC Proceedings Volumes. 45(27). 244–249. 14 indexed citations
17.
Saccon, Alessandro, A. Pedro Aguiar, & John Hauser. (2011). Lie group projection operator approach: Optimal control on T SO(3). TU/e Research Portal. 6973–6978. 13 indexed citations
18.
Saccon, Alessandro. (2009). Midpoint rule for variational integrators on Lie groups. International Journal for Numerical Methods in Engineering. 78(11). 1345–1364. 8 indexed citations
19.
Frezza, R., et al.. (2004). Smart driver: a research project for closed loop vehicle simulation in MSC.ADAMS. 1 indexed citations
20.
Frezza, R., Alessandro Beghi, & Alessandro Saccon. (2004). Model predictive for path following with motorcycles: application to the development of the pilot model for virtual prototyping. 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). 767–772 Vol.1. 23 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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