Raviraj Nataraj
- Rehabilitation top 2%
- Stroke Rehabilitation and Recovery 16
- Cognitive Neuroscience top 5%
- Motor Control and Adaptation 23
- Tactile and Sensory Interactions 7
- EEG and Brain-Computer Interfaces 6
- Human-Computer Interaction top 5%
- Biomedical Engineering top 10%
- Muscle activation and electromyography studies 25
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- Balance, Gait, and Falls Prevention 6
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- Spinal Cord Injury Research 9
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- Data Mining Algorithms and Applications 6
- Co-authors
- Musa L. AuduRonald J. TrioloZong‐Ming LiMingxiao LiuRobert F. KirschWilliam H. SeitzPeter EvansKe Li
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (3 papers)Clinical Orthopaedics and Related Research (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Raviraj Nataraj
55 papers receiving 605 citations
Peers
Comparison fields: 5 of 72
- Rehabilitation 176
- Cognitive Neuroscience 307
- Human-Computer Interaction 63
- Biomedical Engineering 316
- Physical Therapy, Sports Therapy and Rehabilitation 25
Countries citing papers authored by Raviraj Nataraj
This map shows the geographic impact of Raviraj Nataraj'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 Raviraj Nataraj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raviraj Nataraj more than expected).
Fields of papers citing papers by Raviraj Nataraj
This network shows the impact of papers produced by Raviraj Nataraj. 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 Raviraj Nataraj. The network helps show where Raviraj Nataraj may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raviraj Nataraj, 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 | 2023 | 2 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 7 | |
| 6 | 2020 | 19 | |
| 7 | 2019 | 5 | |
| 8 | 2018 | 131 | |
| 9 | 2015 | 7 | |
| 10 | 2015 | 5 | |
| 11 | 2014 | 5 | |
| 12 | 2014 | 19 | |
| 13 | 2014 | 6 | |
| 14 | 2014 | 20 | |
| 15 | 2013 | 9 | |
| 16 | 2012 | 14 | |
| 17 | 2012 | 19 | |
| 18 | FEEDBACK CONTROL OF STANDING BALANCE USING FUNCTIONAL NEUROMUSCULAR STIMULATION FOLLOWING SPINAL CORD INJURY | 2011 | 4 |
| 19 | 2011 | 13 | |
| 20 | 2010 | 24 |
About Raviraj Nataraj
Raviraj Nataraj is a scholar working on Rehabilitation, Cognitive Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation, having authored 60 papers that have together received 614 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (25 papers), Motor Control and Adaptation (23 papers), Stroke Rehabilitation and Recovery (16 papers), Spinal Cord Injury Research (9 papers), Tactile and Sensory Interactions (7 papers), Balance, Gait, and Falls Prevention (6 papers), Data Mining Algorithms and Applications (6 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Rehabilitation (176 citations), Cognitive Neuroscience (307 citations) and Human-Computer Interaction (63 citations). Raviraj Nataraj has collaborated with scholars based in United States, India and China. Frequent co-authors include Musa L. Audu, Ronald J. Triolo, Zong‐Ming Li, Mingxiao Liu, Robert F. Kirsch, William H. Seitz, Peter Evans, Ke Li, Easter S. Suviseshamuthu and Jonathon S. Schofield. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Orthopaedics and Related 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.