Fabio Ruggiero

2.7k total citations · 1 hit paper
91 papers, 1.9k citations indexed

About

Fabio Ruggiero is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fabio Ruggiero has authored 91 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Control and Systems Engineering, 31 papers in Biomedical Engineering and 26 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fabio Ruggiero's work include Robot Manipulation and Learning (31 papers), Robotic Mechanisms and Dynamics (21 papers) and Robotic Locomotion and Control (19 papers). Fabio Ruggiero is often cited by papers focused on Robot Manipulation and Learning (31 papers), Robotic Mechanisms and Dynamics (21 papers) and Robotic Locomotion and Control (19 papers). Fabio Ruggiero collaborates with scholars based in Italy, Spain and Australia. Fabio Ruggiero's co-authors include Vincenzo Lippiello, Anı́bal Ollero, Bruno Siciliano, Jonathan Cacace, Luigi Villani, Hamid Sadeghian, Giuseppe Andrea Fontanelli, Mario Selvaggio, Antidio Viguria and M. A. Trujillo and has published in prestigious journals such as IEEE Transactions on Control Systems Technology, IEEE Transactions on Robotics and IEEE/ASME Transactions on Mechatronics.

In The Last Decade

Fabio Ruggiero

86 papers receiving 1.8k citations

Hit Papers

Aerial Manipulation: A Literature Review 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Ruggiero Italy 19 1.3k 828 574 549 349 91 1.9k
Marilena Vendittelli Italy 22 1.1k 0.8× 1.4k 1.7× 631 1.1× 549 1.0× 240 0.7× 69 2.1k
Matko Orsag Croatia 20 796 0.6× 780 0.9× 714 1.2× 247 0.4× 267 0.8× 83 1.5k
Marco Tognon France 17 653 0.5× 687 0.8× 488 0.9× 205 0.4× 339 1.0× 53 1.2k
S. Ali A. Moosavian Iran 29 1.9k 1.5× 692 0.8× 826 1.4× 1.4k 2.5× 606 1.7× 235 3.0k
S. Yuta Japan 24 784 0.6× 1.1k 1.4× 783 1.4× 316 0.6× 353 1.0× 102 1.8k
Florent Lamiraux France 23 1.1k 0.8× 1.2k 1.4× 515 0.9× 644 1.2× 204 0.6× 63 1.8k
Xinwu Liang China 20 710 0.5× 706 0.9× 393 0.7× 436 0.8× 197 0.6× 36 1.5k
Quentin Lindsey United States 8 772 0.6× 764 0.9× 756 1.3× 190 0.3× 283 0.8× 9 1.5k
Paul Pounds Australia 18 1.0k 0.8× 605 0.7× 861 1.5× 175 0.3× 185 0.5× 38 1.6k
Jorge L. Martínez Spain 21 715 0.5× 819 1.0× 529 0.9× 408 0.7× 208 0.6× 79 1.6k

Countries citing papers authored by Fabio Ruggiero

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Ruggiero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Ruggiero

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Ruggiero. A scholar is included among the top collaborators of Fabio Ruggiero 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 Fabio Ruggiero. Fabio Ruggiero 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.
Selvaggio, Mario, et al.. (2025). Semi-autonomous unmanned aerial manipulator teleoperation for push-and-slide inspection using parallel force/vision control. Robotics and Autonomous Systems. 186. 104912–104912. 3 indexed citations
2.
Heredia, Guillermo, et al.. (2024). Design of a Flexible Robot Arm for Safe Aerial Physical Interaction. arXiv (Cornell University). 1048–1053.
3.
Selvaggio, Mario, et al.. (2024). A Model-Based Oscillation Suppression Approach for a Cable-Suspended Dual-Arm Aerial Manipulator. Zenodo (CERN European Organization for Nuclear Research). 1140–1147. 2 indexed citations
4.
Cacace, Jonathan, et al.. (2024). Motor Fault Detection and Isolation for Multi-Rotor UAVs Based on External Wrench Estimation and Recurrent Deep Neural Network. Journal of Intelligent & Robotic Systems. 110(4). 2 indexed citations
5.
Franco, Enrico, et al.. (2024). Integral IDA-PBC for Underactuated Mechanical Systems Subject to Matched and Unmatched Disturbances. IEEE Control Systems Letters. 8. 568–573. 6 indexed citations
6.
Wang, Yulin, et al.. (2024). Three-dimensional variable center of mass height biped walking using a new model and nonlinear model predictive control. Mechanism and Machine Theory. 197. 105651–105651. 2 indexed citations
7.
Pagano, Francesca, et al.. (2024). Efficient Development of Model-Based Controllers in PX4 Firmware: A Template-Based Customization Approach. 1155–1162. 8 indexed citations
8.
Caccavale, Riccardo, et al.. (2024). Autonomous Visual Inspection of Industrial Plants Using Unmanned Aerial Vehicles. 1148–1154. 1 indexed citations
9.
Selvaggio, Mario, Akash Garg, Fabio Ruggiero, Giuseppe Oriolo, & Bruno Siciliano. (2023). Non-Prehensile Object Transportation via Model Predictive Non-Sliding Manipulation Control. IEEE Transactions on Control Systems Technology. 31(5). 2231–2244. 7 indexed citations
10.
Cacace, Jonathan, et al.. (2023). A Novel Gripper Prototype for Helical Bird Diverter Manipulation. Drones. 7(1). 60–60. 3 indexed citations
11.
Cacace, Jonathan, et al.. (2023). Online Feet Potential Fields for Quadruped Robots Navigation in Harsh Terrains. Robotics. 12(3). 86–86. 4 indexed citations
13.
Ruggiero, Fabio, et al.. (2020). Bayesian Optimization Approach to Input Shaper Design for Flexible Beam Vibration Suppression. IFAC-PapersOnLine. 53(2). 9150–9156. 3 indexed citations
14.
Ruggiero, Fabio, Vincenzo Lippiello, & Anı́bal Ollero. (2018). Aerial Manipulation: A Literature Review. IEEE Robotics and Automation Letters. 3(3). 1957–1964. 362 indexed citations breakdown →
15.
Ruggiero, Fabio, Vincenzo Lippiello, & Anı́bal Ollero. (2018). Introduction to the Special Issue on Aerial Manipulation. IEEE Robotics and Automation Letters. 3(3). 2734–2737. 7 indexed citations
16.
Ruggiero, Fabio, et al.. (2017). Modelling and Control of a Robotic Hula–hoop System without Velocity Measurements. IFAC-PapersOnLine. 50(1). 9808–9814. 1 indexed citations
17.
Lippiello, Vincenzo & Fabio Ruggiero. (2016). Orbital stabilization of a VToL UAV for landing on oscillating platforms. 131–138. 1 indexed citations
18.
Lippiello, Vincenzo, Rafik Mebarki, & Fabio Ruggiero. (2013). Visual coordinated landing of a UAV on a mobile robot manipulator. 1–7. 10 indexed citations
19.
Lippiello, Vincenzo & Fabio Ruggiero. (2012). Exploiting redundancy in Cartesian impedance control of UAVs equipped with a robotic arm. 3768–3773. 108 indexed citations
20.
Lippiello, Vincenzo, Fabio Ruggiero, & Luigi Villani. (2009). Exploiting redundancy in closed-loop inverse kinematics for dexterous object manipulation. 1–6. 4 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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