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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- Motor Control and Adaptation 3
- 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)Cynthia Poon (1 shared paper)
- Journals
- Journal of NeuroEngineering and Rehabilitation (3 papers)Robotics and Autonomous Systems (1 paper)Frontiers in Neurorobotics (1 paper)GigaScience (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Luca Lonini
23 papers receiving 753 citations
Peers
Comparison fields: 5 of 111
- Physical Therapy, Sports Therapy and Rehabilitation 78
- Rehabilitation 63
- Neurology 135
- Health Informatics 12
- Cognitive Neuroscience 153
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 | 196 | |
| 2 | 2018 | 153 | |
| 3 | 2020 | 72 | |
| 4 | 2022 | 59 | |
| 5 | 2016 | 42 | |
| 6 | 2021 | 37 | |
| 7 | 2017 | 33 | |
| 8 | 2013 | 26 | |
| 9 | 2016 | 19 | |
| 10 | 2009 | 18 | |
| 11 | 2016 | 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, Cognitive Neuroscience, Neurology, Rehabilitation and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 769 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (5 papers), Motor Control and Adaptation (3 papers), Stroke Rehabilitation and Recovery (3 papers), Cancer Genomics and Diagnostics (2 papers), Image Processing Techniques and Applications (2 papers), Advanced Vision and Imaging (2 papers), Spinal Cord Injury Research (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (78 citations), Rehabilitation (63 citations), Neurology (135 citations), Health Informatics (12 citations) and Cognitive Neuroscience (153 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, Cynthia Poon, Roozbeh Ghaffari and Margaret Daeschler. Their work appears in journals such as Journal of NeuroEngineering and Rehabilitation, Robotics and Autonomous Systems, Frontiers in Neurorobotics, GigaScience and Cancer Research.
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.