Aravind Ravi
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
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- Neuroscience and Neural Engineering
Papers in
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- EEG and Brain-Computer Interfaces 18
- Neural dynamics and brain function 8
- Neural and Behavioral Psychology Studies 2
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- Neuroscience and Neural Engineering 14
- Co-authors
- Ning Jiang (15 shared papers)Xin Zhang (6 shared papers)Sarah Pearce (6 shared papers)Guanghua Xu (5 shared papers)Min Li (1 shared paper)Yiwen Wang (1 shared paper)Xiang Mou (1 shared paper)Hamid R. Tizhoosh (1 shared paper)
- Journals
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (3 papers)IEEE Access (2 papers)Journal of Neural Engineering (2 papers)PubMed (1 paper)NOT FOUND REPOSITORY (Indian Institute of Science Bangalore) (1 paper)
In The Last Decade
Aravind Ravi
22 papers receiving 314 citations
Peers
Comparison fields: 5 of 47
- Cognitive Neuroscience 245
- Cellular and Molecular Neuroscience 138
- Human-Computer Interaction 39
- Signal Processing 46
- Electrical and Electronic Engineering 74
Countries citing papers authored by Aravind Ravi
This map shows the geographic impact of Aravind Ravi'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 Aravind Ravi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aravind Ravi more than expected).
Fields of papers citing papers by Aravind Ravi
This network shows the impact of papers produced by Aravind Ravi. 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 Aravind Ravi. The network helps show where Aravind Ravi may publish in the future.
Co-authors
The 17 scholars most cited alongside Aravind Ravi, 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 | 2020 | 107 | |
| 2 | 2019 | 53 | |
| 3 | 2022 | 27 | |
| 4 | 2018 | 23 | |
| 5 | 2019 | 18 | |
| 6 | 2019 | 17 | |
| 7 | 2019 | 11 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 9 | |
| 10 | 2021 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2016 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2018 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2019 | 3 | |
| 17 | 2018 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2021 | 1 |
About Aravind Ravi
Aravind Ravi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Sociology and Political Science and Experimental and Cognitive Psychology, having authored 24 papers that have together received 318 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Neuroscience and Neural Engineering (14 papers), Neural dynamics and brain function (8 papers), Advanced Memory and Neural Computing (6 papers), Neural and Behavioral Psychology Studies (2 papers), Human Mobility and Location-Based Analysis (2 papers), Consumer Market Behavior and Pricing (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Cognitive Neuroscience (245 citations), Cellular and Molecular Neuroscience (138 citations), Human-Computer Interaction (39 citations), Signal Processing (46 citations) and Electrical and Electronic Engineering (74 citations). Aravind Ravi has collaborated with scholars based in Canada, China and India. Frequent co-authors include Ning Jiang, Xin Zhang, Sarah Pearce, Guanghua Xu, Min Li, Yiwen Wang, Xiang Mou, Hamid R. Tizhoosh, Anindya Datta and A. G. Ramakrishnan. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Access, Journal of Neural Engineering, PubMed and NOT FOUND REPOSITORY (Indian Institute of Science Bangalore).
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.