F. Lorussi
- Biomedical Engineering top 2%
- Polymers and Plastics top 5%
- Cognitive Neuroscience top 5%
- Human-Computer Interaction top 1%
- Electrical and Electronic Engineering
- Co-authors
- Alessandro TognettiEnzo Pasquale ScilingoDanilo De RossiAlberto MazzoldiNicola CarbonaroMario TesconiR. ParadisoSilvana Quaglini
- Topics
- Advanced Sensor and Energy Harvesting Materials (27 papers)Muscle activation and electromyography studies (18 papers)Hand Gesture Recognition Systems (11 papers)
- Partner nations
- ItalyNetherlandsSwitzerland
In The Last Decade
F. Lorussi
55 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 97
- Biomedical Engineering 1.2k
- Polymers and Plastics 331
- Cognitive Neuroscience 301
- Human-Computer Interaction 247
- Electrical and Electronic Engineering 226
Countries citing papers authored by F. Lorussi
This map shows the geographic impact of F. Lorussi'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 F. Lorussi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Lorussi more than expected).
Fields of papers citing papers by F. Lorussi
This network shows the impact of papers produced by F. Lorussi. 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 F. Lorussi. The network helps show where F. Lorussi may publish in the future.
Co-authorship network of co-authors of F. Lorussi
This figure shows the co-authorship network connecting the top 25 collaborators of F. Lorussi. A scholar is included among the top collaborators of F. Lorussi 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 F. Lorussi. F. Lorussi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 49 | |
| 3 | 9 | |
| 4 | 65 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 78 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 19 | |
| 12 | 141 | |
| 13 | 19 | |
| 14 | 12 | |
| 15 | 3 | |
| 16 | Feldman's muscle model: implementation and control of a kinematic chain driven by pseudo-muscular actuators | 5 |
| 17 | 27 | |
| 18 | 13 | |
| 19 | 5 | |
| 20 | Electroactive polymer based skin and muscles for man machine interfaces | 1 |
About F. Lorussi
F. Lorussi is a scholar working on Human-Computer Interaction, Rehabilitation and Biomedical Engineering, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (27 papers), Muscle activation and electromyography studies (18 papers) and Hand Gesture Recognition Systems (11 papers). The work is most often cited by research in Human-Computer Interaction (247 citations), Biomedical Engineering (1.2k citations) and Polymers and Plastics (331 citations). F. Lorussi has collaborated with scholars based in Italy, Netherlands and Switzerland. Frequent co-authors include Alessandro Tognetti, Enzo Pasquale Scilingo, Danilo De Rossi, Danilo De Rossi, Alberto Mazzoldi, Nicola Carbonaro, Mario Tesconi, R. Paradiso, Silvana Quaglini and Walter Rocchia. Their work appears in journals such as Journal of Biomechanics, Sensors and IEEE Sensors Journal.
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.