Giancarlo Ferrigno
- Biomedical Engineering top 0.5%
- Cognitive Neuroscience top 1%
- Computer Vision and Pattern Recognition top 0.5%
- Control and Systems Engineering top 1%
- Surgery top 5%
- Co-authors
- Elena De MomiA. PedottiHang SuAlessandra PedrocchiSimona FerrantePietro CerveriAndréa AlivertiNima Enayati
- Topics
- Soft Robotics and Applications (64 papers)Muscle activation and electromyography studies (50 papers)Surgical Simulation and Training (45 papers)
In The Last Decade
Giancarlo Ferrigno
310 papers receiving 7.6k citations
Peers
Comparison fields: 5 of 186
- Biomedical Engineering 3.3k
- Cognitive Neuroscience 1.5k
- Computer Vision and Pattern Recognition 1.2k
- Control and Systems Engineering 1.1k
- Surgery 981
Countries citing papers authored by Giancarlo Ferrigno
This map shows the geographic impact of Giancarlo Ferrigno'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 Giancarlo Ferrigno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giancarlo Ferrigno more than expected).
Fields of papers citing papers by Giancarlo Ferrigno
This network shows the impact of papers produced by Giancarlo Ferrigno. 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 Giancarlo Ferrigno. The network helps show where Giancarlo Ferrigno may publish in the future.
Co-authorship network of co-authors of Giancarlo Ferrigno
This figure shows the co-authorship network connecting the top 25 collaborators of Giancarlo Ferrigno. A scholar is included among the top collaborators of Giancarlo Ferrigno 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 Giancarlo Ferrigno. Giancarlo Ferrigno 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 | 1 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 60 | |
| 9 | 42 | |
| 10 | 51 | |
| 11 | 65 | |
| 12 | 0 | |
| 13 | 22 | |
| 14 | 104 | |
| 15 | Multi-robotic approach for keyhole neurosurgery: the ROBOCAST project | 6 |
| 16 | A new IGSTK-based architecture for the integration of multimodal sensors and robots in neurosurgical robotics applications | 6 |
| 17 | ROBOt and sensors integration for Computer Assisted Surgery and Therapy | 1 |
| 18 | Cycling induced by functional electrical stimulation improves the muscularstrength and the motor control of individuals with post-acute stroke. | 41 |
| 19 | ESTIMATION OF VELOCITIES AND ACCELERATIONS FROM NOISY KINEMATIC DATA | 3 |
| 20 | 72 |
About Giancarlo Ferrigno
Giancarlo Ferrigno is a scholar working on Rehabilitation, Physical Therapy, Sports Therapy and Rehabilitation and Cognitive Neuroscience, having authored 322 papers that have together received 7.8k indexed citations. Recurring topics across this work include Soft Robotics and Applications (64 papers), Muscle activation and electromyography studies (50 papers) and Surgical Simulation and Training (45 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (625 citations), Rehabilitation (782 citations) and Human-Computer Interaction (526 citations). Giancarlo Ferrigno has collaborated with scholars based in Italy, Germany and China. Frequent co-authors include Elena De Momi, A. Pedotti, Hang Su, Alessandra Pedrocchi, Simona Ferrante, Pietro Cerveri, Andréa Aliverti, Nima Enayati, Maria D’Amico and Wen Qi. Their work appears in journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.
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.