Aravind Ravi

461 total citations
24 papers, 311 citations indexed

About

Aravind Ravi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Aravind Ravi has authored 24 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 15 papers in Cellular and Molecular Neuroscience and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Aravind Ravi's work include EEG and Brain-Computer Interfaces (18 papers), Neuroscience and Neural Engineering (15 papers) and Neural dynamics and brain function (8 papers). Aravind Ravi is often cited by papers focused on EEG and Brain-Computer Interfaces (18 papers), Neuroscience and Neural Engineering (15 papers) and Neural dynamics and brain function (8 papers). Aravind Ravi collaborates with scholars based in Canada, China and India. Aravind Ravi's co-authors include Ning Jiang, Xin Zhang, Guanghua Xu, Sarah Pearce, Min Li, Yiwen Wang, Xiang Mou, Hamid R. Tizhoosh, Anindya Datta and A. G. Ramakrishnan and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Journal of Neural Engineering.

In The Last Decade

Aravind Ravi

22 papers receiving 307 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aravind Ravi Canada 9 243 152 80 50 42 24 311
Rajesh C. Panicker Singapore 8 252 1.0× 151 1.0× 81 1.0× 33 0.7× 71 1.7× 19 375
Montri Phothisonothai Thailand 9 176 0.7× 61 0.4× 33 0.4× 52 1.0× 29 0.7× 42 294
Vangelis P. Oikonomou Greece 12 313 1.3× 64 0.4× 58 0.7× 105 2.1× 21 0.5× 42 411
Sarah N. Abdulkader Egypt 5 324 1.3× 157 1.0× 90 1.1× 66 1.3× 61 1.5× 6 393
Sami Arıca Türkiye 9 265 1.1× 126 0.8× 45 0.6× 109 2.2× 31 0.7× 27 337
Sofien Gannouni Saudi Arabia 11 301 1.2× 100 0.7× 70 0.9× 63 1.3× 72 1.7× 26 436
Ignas Martišius Lithuania 7 268 1.1× 83 0.5× 48 0.6× 73 1.5× 60 1.4× 12 334
Paolo Zanini Italy 4 239 1.0× 73 0.5× 68 0.8× 60 1.2× 61 1.5× 20 304
Xiaoshan Huang China 6 260 1.1× 124 0.8× 84 1.1× 48 1.0× 57 1.4× 10 313
Zhuliang Yu China 4 367 1.5× 216 1.4× 101 1.3× 36 0.7× 138 3.3× 10 388

Countries citing papers authored by Aravind Ravi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Aravind Ravi

This figure shows the co-authorship network connecting the top 25 collaborators of Aravind Ravi. A scholar is included among the top collaborators of Aravind Ravi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aravind Ravi. Aravind Ravi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ravi, Aravind, et al.. (2025). Signal Characteristics, Motor Cortex Engagement, and Classification Performance of Combined Action Observation, Motor Imagery and SSMVEP (CAMS) BCI. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 1004–1013. 1 indexed citations
2.
Jaoude, Maurice Abou, et al.. (2023). Automated Sleep Staging on Wearable EEG Enables Sleep Analysis at Scale. 1–4. 6 indexed citations
4.
Ravi, Aravind, et al.. (2021). Asynchronous SSMVEP BCI and Influence of Dynamic Background in Augmented Reality. 340–343. 1 indexed citations
5.
Ravi, Aravind, et al.. (2021). Does Inter-Stimulus Distance Influence the Decoding Performance of SSVEP and SSMVEP BCI?. 507–510. 7 indexed citations
6.
Ravi, Aravind, et al.. (2021). Effect of Competing Stimuli for Steady-State Visually Evoked Potential and Steady-State Motion Visually Evoked Potential. IEEE Access. 9. 129820–129829. 4 indexed citations
7.
Zhang, Xin, Guanghua Xu, Aravind Ravi, Sarah Pearce, & Ning Jiang. (2020). Can a highly accurate multi-class SSMVEP BCI induce sensory-motor rhythm in the sensorimotor area?. Journal of Neural Engineering. 18(3). 35001–35001. 2 indexed citations
8.
Ravi, Aravind, et al.. (2020). Comparing user-dependent and user-independent training of CNN for SSVEP BCI. Journal of Neural Engineering. 17(2). 26028–26028. 103 indexed citations
9.
Zhang, Xin, Guanghua Xu, Aravind Ravi, Sarah Pearce, & Ning Jiang. (2019). Simultaneous induction of SSMVEP and SMR Using a Gaiting video stimulus: a novel hybrid brain-computer interface. arXiv (Cornell University). 18 indexed citations
10.
Ravi, Aravind, et al.. (2019). Calibration-free SSVEP-based BCI Switch. 1–4. 3 indexed citations
11.
Zhang, Xin, Guanghua Xu, Aravind Ravi, Sarah Pearce, & Ning Jiang. (2019). A Hybrid BCI Approach to Detect Brain Switch in Action Observation by Utilizing Convolution Neural Network. 10. 1327–1330. 1 indexed citations
12.
Zhang, Xin, Guanghua Xu, Xiang Mou, et al.. (2019). A Convolutional Neural Network for the Detection of Asynchronous Steady State Motion Visual Evoked Potential. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(6). 1303–1311. 53 indexed citations
13.
Ravi, Aravind, Sarah Pearce, Xin Zhang, & Ning Jiang. (2019). User-Specific Channel Selection Method to Improve SSVEP BCI Decoding Robustness Against Variable Inter-Stimulus Distance. 283–286. 11 indexed citations
14.
Verma, Nisha, et al.. (2019). High Value Customer Acquisition & Retention Modelling – A Scalable Data Mashup Approach. 1907–1916. 5 indexed citations
15.
Ravi, Aravind, et al.. (2019). A Convolutional Neural Network for Enhancing the Detection of SSVEP in the Presence of Competing Stimuli. PubMed. 2019. 6323–6326. 9 indexed citations
17.
Verma, Nisha, et al.. (2018). Predicting Age & Gender of Mobile Users at Scale - A Distributed Machine Learning Approach. 1817–1826. 4 indexed citations
18.
Ravi, Aravind, et al.. (2018). Predicting Consumer Level Brand Preferences Using Persistent Mobility Patterns. 1986–1991. 3 indexed citations
19.
20.
Ravi, Aravind, et al.. (2016). Automatic user customized brain switch. 10. 1–5. 6 indexed citations

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.

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