Matteo Giuberti
Impact in
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- Balance, Gait, and Falls Prevention
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- Sports Performance and Training
- Sports injuries and prevention
Papers in
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- Muscle activation and electromyography studies 6
- Advanced Sensor and Energy Harvesting Materials 2
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- Balance, Gait, and Falls Prevention 10
- Co-authors
- Petrus H. Veltink (5 shared papers)Giovanni Bellusci (5 shared papers)Gianluigi Ferrari (12 shared papers)Bert-Jan van Beijnum (4 shared papers)Laura Contin (8 shared papers)Alessandro Mauro (8 shared papers)Giovanni Albani (8 shared papers)Verônica Cimolin (8 shared papers)
- Journals
- Sensors (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)IEEE Internet of Things Journal (1 paper)Frontiers in Physiology (1 paper)IEEE Transactions on Affective Computing (1 paper)
- Partner nations
- ItalyNetherlands
In The Last Decade
Matteo Giuberti
18 papers receiving 420 citations
Peers
Comparison fields: 5 of 60
- Physical Therapy, Sports Therapy and Rehabilitation 125
- Orthopedics and Sports Medicine 85
- Neurology 106
- Biomedical Engineering 242
- Rehabilitation 18
Countries citing papers authored by Matteo Giuberti
This map shows the geographic impact of Matteo Giuberti'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 Giuberti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Giuberti more than expected).
Fields of papers citing papers by Matteo Giuberti
This network shows the impact of papers produced by Matteo Giuberti. 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 Giuberti. The network helps show where Matteo Giuberti may publish in the future.
Co-authors
The 16 scholars most cited alongside Matteo Giuberti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 159 | |
| 2 | 2015 | 77 | |
| 3 | 2016 | 37 | |
| 4 | 2016 | 34 | |
| 5 | 2015 | 31 | |
| 6 | 2015 | 31 | |
| 7 | 2018 | 17 | |
| 8 | 2019 | 12 | |
| 9 | 2014 | 12 | |
| 10 | 2013 | 7 | |
| 11 | 2014 | 5 | |
| 12 | 2011 | 3 | |
| 13 | 2019 | 2 | |
| 14 | 2018 | 2 | |
| 15 | 2011 | 2 | |
| 16 | 2012 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2015 | 1 |
About Matteo Giuberti
Matteo Giuberti is a scholar working on Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 18 papers that have together received 434 indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (10 papers), Muscle activation and electromyography studies (6 papers), Indoor and Outdoor Localization Technologies (5 papers), Context-Aware Activity Recognition Systems (4 papers), Energy Efficient Wireless Sensor Networks (2 papers), Human Motion and Animation (2 papers), Human Pose and Action Recognition (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (125 citations), Orthopedics and Sports Medicine (85 citations), Neurology (106 citations), Biomedical Engineering (242 citations) and Rehabilitation (18 citations). Matteo Giuberti has collaborated with scholars based in Italy and Netherlands. Frequent co-authors include Petrus H. Veltink, Giovanni Bellusci, Gianluigi Ferrari, Bert-Jan van Beijnum, Laura Contin, Alessandro Mauro, Giovanni Albani, Verônica Cimolin, Corrado Azzaro and Jasper Reenalda. Their work appears in journals such as Sensors, IEEE Journal of Biomedical and Health Informatics, IEEE Internet of Things Journal, Frontiers in Physiology and IEEE Transactions on Affective Computing.
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.