Marco Faroni
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Industrial and Manufacturing Engineering top 10%
- Biomedical Engineering
- Co-authors
- Manuel BeschiNicola PedrocchiAntonio VisioliCorrado Guarino Lo BiancoAmedeo CestaLorenzo Molinari TosattiAlessandro UmbricoAndrea Orlandini
- Topics
- Robot Manipulation and Learning (15 papers)Robotic Path Planning Algorithms (14 papers)Robotic Mechanisms and Dynamics (9 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Marco Faroni
25 papers receiving 265 citations
Peers
Comparison fields: 5 of 42
- Control and Systems Engineering 188
- Computer Vision and Pattern Recognition 114
- Mechanical Engineering 50
- Industrial and Manufacturing Engineering 46
- Biomedical Engineering 44
Countries citing papers authored by Marco Faroni
This map shows the geographic impact of Marco Faroni'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 Marco Faroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Faroni more than expected).
Fields of papers citing papers by Marco Faroni
This network shows the impact of papers produced by Marco Faroni. 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 Marco Faroni. The network helps show where Marco Faroni may publish in the future.
Co-authorship network of co-authors of Marco Faroni
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Faroni. A scholar is included among the top collaborators of Marco Faroni 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 Marco Faroni. Marco Faroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 13 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 18 | |
| 12 | 27 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 19 | |
| 17 | 54 | |
| 18 | 18 | |
| 19 | 7 | |
| 20 | 1 |
About Marco Faroni
Marco Faroni is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Software, having authored 28 papers that have together received 270 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (15 papers), Robotic Path Planning Algorithms (14 papers) and Robotic Mechanisms and Dynamics (9 papers). The work is most often cited by research in Control and Systems Engineering (188 citations), Computer Vision and Pattern Recognition (114 citations) and Industrial and Manufacturing Engineering (46 citations). Marco Faroni has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Manuel Beschi, Nicola Pedrocchi, Antonio Visioli, Corrado Guarino Lo Bianco, Amedeo Cesta, Lorenzo Molinari Tosatti, Alessandro Umbrico, Andrea Orlandini, Cosmin Copot and Enrico Villagrossi. Their work appears in journals such as IEEE Access, IEEE Transactions on Cybernetics and IEEE Transactions on Robotics.
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.