Yuri P. Ivanenko
Impact in
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- Balance, Gait, and Falls Prevention
- Cognitive Neuroscience top 0.5%
- Motor Control and Adaptation
Papers in
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- Balance, Gait, and Falls Prevention 56
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- Motor Control and Adaptation 52
- Visual perception and processing mechanisms 14
- Co-authors
- Francesco LacquanitiR. E. PoppeleGermana CappelliniNadia DominiciV. S. GurfinkelR. GrassoMyrka ZagoFrancesca Sylos‐Labini
- Journals
- Journal of Neurophysiology (30 papers)Experimental Brain Research (8 papers)Frontiers in Human Neuroscience (6 papers)Frontiers in Physiology (6 papers)PLoS ONE (6 papers)
- Partner nations
- ItalyRussiaUnited States
In The Last Decade
Yuri P. Ivanenko
159 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Physical Therapy, Sports Therapy and Rehabilitation 3.4k
- Cognitive Neuroscience 4.0k
- Rehabilitation 1.1k
- Orthopedics and Sports Medicine 1.2k
- Psychiatry and Mental health 2.0k
Countries citing papers authored by Yuri P. Ivanenko
This map shows the geographic impact of Yuri P. Ivanenko'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 Yuri P. Ivanenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuri P. Ivanenko more than expected).
Fields of papers citing papers by Yuri P. Ivanenko
This network shows the impact of papers produced by Yuri P. Ivanenko. 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 Yuri P. Ivanenko. The network helps show where Yuri P. Ivanenko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuri P. Ivanenko, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 49 | |
| 9 | 2020 | 13 | |
| 10 | 2019 | 58 | |
| 11 | 2017 | 6 | |
| 12 | 2015 | 14 | |
| 13 | 2013 | 66 | |
| 14 | 2007 | 189 | |
| 15 | 2007 | 94 | |
| 16 | 2007 | 44 | |
| 17 | 2005 | 321 | |
| 18 | 2002 | 4 | |
| 19 | 1998 | 19 | |
| 20 | 1995 | 182 |
About Yuri P. Ivanenko
Yuri P. Ivanenko is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Cognitive Neuroscience, Psychiatry and Mental health, Biomedical Engineering and Neurology, having authored 165 papers that have together received 9.8k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (69 papers), Balance, Gait, and Falls Prevention (56 papers), Motor Control and Adaptation (52 papers), Cerebral Palsy and Movement Disorders (41 papers), Robotic Locomotion and Control (23 papers), Spinal Cord Injury Research (19 papers), Visual perception and processing mechanisms (14 papers) and Infant Development and Preterm Care (12 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (3.4k citations), Cognitive Neuroscience (4.0k citations), Rehabilitation (1.1k citations), Orthopedics and Sports Medicine (1.2k citations) and Psychiatry and Mental health (2.0k citations). Yuri P. Ivanenko has collaborated with scholars based in Italy, Russia and United States. Frequent co-authors include Francesco Lacquaniti, R. E. Poppele, Germana Cappellini, Nadia Dominici, V. S. Gurfinkel, R. Grasso, Myrka Zago, Francesca Sylos‐Labini, И. А. Солопова and Andrea d’Avella. Their work appears in journals such as Journal of Neurophysiology, Experimental Brain Research, Frontiers in Human Neuroscience, Frontiers in Physiology 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.