Luca Bascetta

2.1k citations
106 papers · 1.5k · h-index 23

Impact in

Papers in

Luca Bascetta

103 papers receiving 1.4k citations

Peers

Luca Bascetta
Comparison fields: 5 of 91
  • Control and Systems Engineering 935
  • Computer Vision and Pattern Recognition 333
  • Automotive Engineering 124
  • Mechanical Engineering 338
  • Industrial and Manufacturing Engineering 82
Replace Alessandro Freddi with:
Alessandro Freddi Italy
Yingbai Hu China
Roger Bostelman United States
Jae-Bok Song South Korea
Jae‐Bok Song South Korea
Torsten Kröger Germany
R. Mattone Italy
Geir Hovland Norway
Prabhakar R. Pagilla United States
Thomas Fuhlbrigge United States
Luca Bascetta relative to Alessandro Freddi Italy Alessandro Freddi's profile →
Citations per field
00.5×1.5×2.1×
Alessandro Freddi · 1×
Citations per year

Countries citing papers authored by Luca Bascetta

Since Specialization
Citations

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

Fields of papers citing papers by Luca Bascetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luca Bascetta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luca Bascetta Line = papers co-authored together Luca Bascetta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200991
2 201481
3 201358
4 201348
5 201646
6 201145
7 200941
8 201541
9 201938
10 201338
11 201938
12 201536
13 201736
14 201133
15 201431
16 200829
17 201528
18 201527
19 201825
20 200624

About Luca Bascetta

Luca Bascetta is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Biomedical Engineering and Automotive Engineering, having authored 106 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (22 papers), Robotic Path Planning Algorithms (21 papers), Robotic Mechanisms and Dynamics (14 papers), Control and Dynamics of Mobile Robots (11 papers), Vehicle Dynamics and Control Systems (10 papers), Advanced Control Systems Optimization (10 papers), Teleoperation and Haptic Systems (10 papers) and Dynamics and Control of Mechanical Systems (9 papers). The work is most often cited by research in Control and Systems Engineering (935 citations), Computer Vision and Pattern Recognition (333 citations), Automotive Engineering (124 citations), Mechanical Engineering (338 citations) and Industrial and Manufacturing Engineering (82 citations). Luca Bascetta has collaborated with scholars based in Italy, Sweden and Finland. Frequent co-authors include Paolo Rocco, Andrea Maria Zanchettin, Gianni Ferretti, G. Magnani, Alberto Leva, Marcello Restelli, Matteo Pirotta, Matteo Matteucci, Maria Prandini and Matteo Ragaglia. Their work appears in journals such as IEEE Transactions on Control Systems Technology, Mechatronics, Control Engineering Practice, Robotica and IEEE Robotics & Automation Magazine.

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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