Matteo Parigi Polverini
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Paolo RoccoAndrea Maria ZanchettinNikos G. TsagarakisEnrico Mingo HoffmanArturo LaurenziSimone FormentinRoberto RossiLuca Bascetta
- Topics
- Robot Manipulation and Learning (13 papers)Robotic Mechanisms and Dynamics (7 papers)Robotic Locomotion and Control (6 papers)
- Cited by
- Control and Systems EngineeringIndustrial and Manufacturing EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Control Systems TechnologyRobotics and Computer-Integrated ManufacturingIEEE Robotics and Automation Letters
- Partner nations
- Italy
In The Last Decade
Matteo Parigi Polverini
16 papers receiving 286 citations
Peers
Comparison fields: 5 of 43
- Control and Systems Engineering 234
- Biomedical Engineering 123
- Computer Vision and Pattern Recognition 84
- Mechanical Engineering 82
- Industrial and Manufacturing Engineering 48
Countries citing papers authored by Matteo Parigi Polverini
This map shows the geographic impact of Matteo Parigi Polverini'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 Matteo Parigi Polverini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Parigi Polverini more than expected).
Fields of papers citing papers by Matteo Parigi Polverini
This network shows the impact of papers produced by Matteo Parigi Polverini. 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 Matteo Parigi Polverini. The network helps show where Matteo Parigi Polverini may publish in the future.
Co-authorship network of co-authors of Matteo Parigi Polverini
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Parigi Polverini. A scholar is included among the top collaborators of Matteo Parigi Polverini 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 Matteo Parigi Polverini. Matteo Parigi Polverini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 37 | |
| 3 | 29 | |
| 4 | 25 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 37 | |
| 13 | 7 | |
| 14 | 46 | |
| 15 | 28 | |
| 16 | 40 |
About Matteo Parigi Polverini
Matteo Parigi Polverini is a scholar working on Control and Systems Engineering, Biomedical Engineering and Mechanical Engineering, having authored 16 papers that have together received 294 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Robotic Mechanisms and Dynamics (7 papers) and Robotic Locomotion and Control (6 papers). The work is most often cited by research in Control and Systems Engineering (234 citations), Industrial and Manufacturing Engineering (48 citations) and Computer Vision and Pattern Recognition (84 citations). Matteo Parigi Polverini has collaborated with scholars based in Italy. Frequent co-authors include Paolo Rocco, Andrea Maria Zanchettin, Nikos G. Tsagarakis, Enrico Mingo Hoffman, Arturo Laurenzi, Simone Formentin, Roberto Rossi and Luca Bascetta. Their work appears in journals such as IEEE Transactions on Control Systems Technology, Robotics and Computer-Integrated Manufacturing and IEEE Robotics and Automation Letters.
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.