Tharun Kumar Reddy

457 total citations
28 papers, 306 citations indexed

About

Tharun Kumar Reddy is a scholar working on Cognitive Neuroscience, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Tharun Kumar Reddy has authored 28 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 7 papers in Signal Processing and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Tharun Kumar Reddy's work include EEG and Brain-Computer Interfaces (23 papers), Neural dynamics and brain function (11 papers) and Blind Source Separation Techniques (7 papers). Tharun Kumar Reddy is often cited by papers focused on EEG and Brain-Computer Interfaces (23 papers), Neural dynamics and brain function (11 papers) and Blind Source Separation Techniques (7 papers). Tharun Kumar Reddy collaborates with scholars based in India, Australia and Germany. Tharun Kumar Reddy's co-authors include Laxmidhar Behera, Vipul Arora, Yu–Kai Wang, Chin‐Teng Lin, Vinay K. Gupta, Javier Andreu-Pérez, Braj Bhushan, Hiroshi Higashi, Vivek Kumar Singh and Niels Birbaumer and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems Man and Cybernetics Systems and Medical & Biological Engineering & Computing.

In The Last Decade

Tharun Kumar Reddy

27 papers receiving 304 citations

Peers

Tharun Kumar Reddy

CMN

ECP

EEE

Tae‐Eui Kam South Korea

Koel Das United States

Anne K. Porbadnigk Germany

Ignas Martišius Lithuania

Wonjun Ko South Korea

Vangelis P. Oikonomou Greece

Liya Huang China

Sepideh Hajipour Sardouie Iran

Luis Alfredo Moctezuma Norway

Tae‐Eui Kam South Korea

Tharun Kumar Reddy

326 ×1.4

72 ×1.3

CMN

43 ×0.8

26 ×0.5

ECP

51 ×1.0

EEE

Citations per year, relative to Tharun Kumar Reddy Tharun Kumar Reddy (= 1×) peers Tae‐Eui Kam

Countries citing papers authored by Tharun Kumar Reddy

Since Specialization

Citations

This map shows the geographic impact of Tharun Kumar Reddy'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 Tharun Kumar Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tharun Kumar Reddy more than expected).

Fields of papers citing papers by Tharun Kumar Reddy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tharun Kumar Reddy. 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 Tharun Kumar Reddy. The network helps show where Tharun Kumar Reddy may publish in the future.

Co-authorship network of co-authors of Tharun Kumar Reddy

This figure shows the co-authorship network connecting the top 25 collaborators of Tharun Kumar Reddy. A scholar is included among the top collaborators of Tharun Kumar Reddy 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 Tharun Kumar Reddy. Tharun Kumar Reddy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Reddy, Tharun Kumar, et al.. (2024). Characterizing Neural Activity During Video Game Engagement Using EEG Sensor-Based Topological Dynamics Analysis. IEEE Sensors Letters. 8(12). 1–4. 2 indexed citations

Reddy, Tharun Kumar, et al.. (2024). WearNeuroNet: An Interpretable Light-Weight Deep Learning Approach for Ictal–Interictal Classification for Limited Channel EEG Wearables. IEEE Sensors Letters. 8(10). 1–4. 4 indexed citations

Gupta, Vinay, et al.. (2024). Session-independent subject-adaptive mental imagery BCI using selective filter-bank adaptive Riemannian features. Medical & Biological Engineering & Computing. 62(11). 3293–3310. 2 indexed citations

Singh, Vivek Kumar, et al.. (2024). Auto-Fusing Covariance and Phase Locking Value With Brain-Inspired Spiking Neural Networks for EEG-Based Driver Reaction Time Prediction. IEEE Sensors Letters. 9(2). 1–4. 2 indexed citations

Reddy, Tharun Kumar, et al.. (2024). Characterizing neural activity from EEG signals during game interaction using persistent homology. 1–7.

Reddy, Tharun Kumar, et al.. (2024). Chromatic Alpha Complex Generation for EEG Signal Classification. 1–5. 2 indexed citations

Reddy, Tharun Kumar, et al.. (2024). Delaunay Triangulated Simplicial Complex Generation for EEG Signal Classification. IEEE Sensors Letters. 8(10). 1–4. 3 indexed citations

Reddy, Tharun Kumar, et al.. (2024). GM-VRC: Semantic Topological Data Ensemble Approach for EEG Signal Classification. 1971–1975. 2 indexed citations

Reddy, Tharun Kumar, et al.. (2023). Entropy based EEG irregularity quantification in Single-Channel SSVEP-based BCIs. 1–6. 3 indexed citations

10.

Reddy, Tharun Kumar, et al.. (2023). A Meditation Based Cognitive Therapy (HMBCT) for Primary Insomnia: A Treatment Feasibility Pilot Study. Applied Psychophysiology and Biofeedback. 48(3). 369–378. 4 indexed citations

11.

Reddy, Tharun Kumar, et al.. (2023). Riemannian Approach Based Depression classification using Transfer Learning for MEG signals. 1–4. 8 indexed citations

12.

Gupta, Vinay K., et al.. (2022). Meditation and Cognitive Enhancement: A Machine Learning Based Classification Using EEG. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 1973–1978. 8 indexed citations

13.

Reddy, Tharun Kumar & Laxmidhar Behera. (2022). Driver Drowsiness Detection: An Approach Based on Intelligent Brain–Computer Interfaces. IEEE Systems Man and Cybernetics Magazine. 8(1). 16–28. 19 indexed citations

14.

Gupta, Vinay K., et al.. (2022). Performance study of Neural Structured Learning using Riemannian Features for BCI Classification. 297–301. 13 indexed citations

15.

Reddy, Tharun Kumar, Yu–Kai Wang, Chin‐Teng Lin, & Javier Andreu-Pérez. (2021). JOINT APPROXIMATE DIAGONALIZATION DIVERGENCE BASED SCHEME FOR EEG DROWSINESS DETECTION BRAIN COMPUTER INTERFACES. 1–6. 14 indexed citations

16.

Reddy, Tharun Kumar, et al.. (2021). EEG-Based Drowsiness Detection With Fuzzy Independent Phase-Locking Value Representations Using Lagrangian-Based Deep Neural Networks. IEEE Transactions on Systems Man and Cybernetics Systems. 52(1). 101–111. 29 indexed citations

17.

Reddy, Tharun Kumar, et al.. (2020). Formulating Divergence Framework for Multiclass Motor Imagery EEG Brain Computer Interface. 7. 1344–1348. 15 indexed citations

18.

Reddy, Tharun Kumar, et al.. (2019). Electroencephalogram Based Reaction Time Prediction With Differential Phase Synchrony Representations Using Co-Operative Multi-Task Deep Neural Networks. IEEE Transactions on Emerging Topics in Computational Intelligence. 3(5). 369–379. 30 indexed citations

19.

Reddy, Tharun Kumar, et al.. (2018). EEG Based Motor Imagery Classification Using Instantaneous Phase Difference Sequence. 499–504. 15 indexed citations

20.

Reddy, Tharun Kumar, Vipul Arora, & Laxmidhar Behera. (2018). HJB-Equation-Based Optimal Learning Scheme for Neural Networks With Applications in Brain–Computer Interface. IEEE Transactions on Emerging Topics in Computational Intelligence. 4(2). 159–170. 27 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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