Fabio Ruggiero

86 papers receiving 1.8k citations

Hit Papers

Aerial Manipulation: A Literature Review20182026202020232018100200300

Peers

Fabio Ruggiero
Comparison fields: 5 of 77
  • Control and Systems Engineering 1.3k
  • Computer Vision and Pattern Recognition 828
  • Aerospace Engineering 574
  • Biomedical Engineering 549
  • Mechanical Engineering 349
Replace Marilena Vendittelli with:
Marilena Vendittelli Italy
Matko Orsag Croatia
S. Yuta Japan
Udo Frese Germany
Michael Suppa Germany
Jorge L. Martínez Spain
S. Ali A. Moosavian Iran
Yugang Liu Canada
Dongkyoung Chwa South Korea
Marco Tognon France
Fabio Ruggiero relative to Marilena Vendittelli Italy Marilena Vendittelli's profile →
Citations per field
00.5×3.7×
Marilena Vendittelli · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 2
3 0
4 2
5 2
6 8
7 3
8 4
9 3
10 3
11 3
12 8
13
Aerial Manipulation: A Literature Reviewbreakdown →
362
14 21
15 133
16 10
17 108
18 15
19 3
20
Exploiting redundancy in closed-loop inverse kinematics for dexterous object manipulation
4

About Fabio Ruggiero

Fabio Ruggiero is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (31 papers), Robotic Mechanisms and Dynamics (21 papers) and Robotic Locomotion and Control (19 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Computer Vision and Pattern Recognition (828 citations) and Aerospace Engineering (574 citations). Fabio Ruggiero has collaborated with scholars based in Italy, Spain and Australia. Frequent 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. Their work appears in journals such as IEEE Transactions on Control Systems Technology, IEEE Transactions on Robotics and IEEE/ASME Transactions on Mechatronics.

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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2026