Nicola Pedrocchi
- Control and Systems Engineering top 1%
- Biomedical Engineering top 5%
- Mechanical Engineering top 5%
- Industrial and Manufacturing Engineering top 1%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Lorenzo Molinari TosattiLoris RovedaManuel BeschiFederico VicentiniStefania PellegrinelliFrancesco BraghinMarco FaroniMatteo Malosio
- Topics
- Robot Manipulation and Learning (70 papers)Soft Robotics and Applications (23 papers)Robotic Path Planning Algorithms (22 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Nicola Pedrocchi
116 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 89
- Control and Systems Engineering 1.1k
- Biomedical Engineering 677
- Mechanical Engineering 523
- Industrial and Manufacturing Engineering 439
- Computer Vision and Pattern Recognition 294
Countries citing papers authored by Nicola Pedrocchi
This map shows the geographic impact of Nicola Pedrocchi'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 Nicola Pedrocchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Pedrocchi more than expected).
Fields of papers citing papers by Nicola Pedrocchi
This network shows the impact of papers produced by Nicola Pedrocchi. 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 Nicola Pedrocchi. The network helps show where Nicola Pedrocchi may publish in the future.
Co-authorship network of co-authors of Nicola Pedrocchi
This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Pedrocchi. A scholar is included among the top collaborators of Nicola Pedrocchi 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 Nicola Pedrocchi. Nicola Pedrocchi 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 13 | |
| 11 | 149 | |
| 12 | 14 | |
| 13 | 13 | |
| 14 | 19 | |
| 15 | 20 | |
| 16 | 7 | |
| 17 | 76 | |
| 18 | 20 | |
| 19 | 53 | |
| 20 | 3 |
About Nicola Pedrocchi
Nicola Pedrocchi is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Rehabilitation, having authored 119 papers that have together received 1.8k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (70 papers), Soft Robotics and Applications (23 papers) and Robotic Path Planning Algorithms (22 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Industrial and Manufacturing Engineering (439 citations) and Rehabilitation (118 citations). Nicola Pedrocchi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Lorenzo Molinari Tosatti, Loris Roveda, Manuel Beschi, Federico Vicentini, Stefania Pellegrinelli, Francesco Braghin, Marco Faroni, Matteo Malosio, Tullio Tolio and Enrico Villagrossi. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Cybernetics.
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.