Luca Lonini
Impact in
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- Balance, Gait, and Falls Prevention
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
Papers in
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- Muscle activation and electromyography studies 5
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- Context-Aware Activity Recognition Systems 5
- Co-authors
- Arun Jayaraman (12 shared papers)Konrad P. Körding (6 shared papers)David C. Mohr (1 shared paper)Sohrab Saeb (1 shared paper)Nicholas Shawen (8 shared papers)John A. Rogers (3 shared papers)Tanya Simuni (3 shared papers)Margaret Daeschler (1 shared paper)
- Journals
- Journal of NeuroEngineering and Rehabilitation (3 papers)Robotics and Autonomous Systems (1 paper)JMIR mhealth and uhealth (1 paper)JMIR Rehabilitation and Assistive Technologies (1 paper)IEEE Transactions on Human-Machine Systems (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Luca Lonini
23 papers receiving 730 citations
Peers
Comparison fields: 5 of 113
- Physical Therapy, Sports Therapy and Rehabilitation 92
- Rehabilitation 81
- Health Informatics 15
- Neurology 146
- Cognitive Neuroscience 172
Countries citing papers authored by Luca Lonini
This map shows the geographic impact of Luca Lonini'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 Luca Lonini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Lonini more than expected).
Fields of papers citing papers by Luca Lonini
This network shows the impact of papers produced by Luca Lonini. 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 Luca Lonini. The network helps show where Luca Lonini may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Lonini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 192 | |
| 2 | 2018 | 149 | |
| 3 | 2020 | 67 | |
| 4 | 2022 | 55 | |
| 5 | 2016 | 42 | |
| 6 | 2021 | 35 | |
| 7 | 2017 | 32 | |
| 8 | 2013 | 26 | |
| 9 | 2016 | 19 | |
| 10 | 2016 | 18 | |
| 11 | 2009 | 18 | |
| 12 | 2014 | 18 | |
| 13 | 2013 | 17 | |
| 14 | 2007 | 15 | |
| 15 | 2017 | 10 | |
| 16 | 2017 | 9 | |
| 17 | 2010 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2024 | 4 | |
| 20 | 2021 | 4 |
About Luca Lonini
Luca Lonini is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Neurology and Rehabilitation, having authored 24 papers that have together received 749 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (5 papers), Muscle activation and electromyography studies (5 papers), Stroke Rehabilitation and Recovery (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Motor Control and Adaptation (3 papers), Spinal Cord Injury Research (3 papers), Assistive Technology in Communication and Mobility (3 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (92 citations), Rehabilitation (81 citations), Health Informatics (15 citations), Neurology (146 citations) and Cognitive Neuroscience (172 citations). Luca Lonini has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Arun Jayaraman, Konrad P. Körding, David C. Mohr, Sohrab Saeb, Nicholas Shawen, John A. Rogers, Tanya Simuni, Margaret Daeschler, Roozbeh Ghaffari and Cynthia Poon. Their work appears in journals such as Journal of NeuroEngineering and Rehabilitation, Robotics and Autonomous Systems, JMIR mhealth and uhealth, JMIR Rehabilitation and Assistive Technologies and IEEE Transactions on Human-Machine Systems.
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.