Praveen Venkatesh

726 total citations
27 papers, 483 citations indexed

About

Praveen Venkatesh is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Praveen Venkatesh has authored 27 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 9 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Praveen Venkatesh's work include Neural dynamics and brain function (9 papers), EEG and Brain-Computer Interfaces (8 papers) and Functional Brain Connectivity Studies (5 papers). Praveen Venkatesh is often cited by papers focused on Neural dynamics and brain function (9 papers), EEG and Brain-Computer Interfaces (8 papers) and Functional Brain Connectivity Studies (5 papers). Praveen Venkatesh collaborates with scholars based in United States, India and Australia. Praveen Venkatesh's co-authors include Pulkit Grover, Matthew J. Boring, Amanda K. Robinson, Marlene Behrmann, Michael J. Tarr, CMAK Zeelan Basha, Muna Al-Hawawreh, Rami Mohawesh, Yaser Jararweh and Sanghamitra Dutta and has published in prestigious journals such as Proceedings of the IEEE, Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Praveen Venkatesh

22 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Praveen Venkatesh United States 9 131 64 63 62 54 27 483
Steven N. Baldassano United States 12 341 2.6× 72 1.1× 55 0.9× 116 1.9× 153 2.8× 19 722
Ann M. Castelfranco United States 11 68 0.5× 30 0.5× 38 0.6× 75 1.2× 143 2.6× 21 539
Vito Paolo Pastore Italy 11 165 1.3× 27 0.4× 67 1.1× 159 2.6× 58 1.1× 34 387
Jingli Chen China 12 103 0.8× 128 2.0× 27 0.4× 13 0.2× 97 1.8× 46 524
Elvan Ceyhan Türkiye 12 100 0.8× 62 1.0× 40 0.6× 14 0.2× 36 0.7× 47 405
Amanda K. Robinson Australia 14 412 3.1× 39 0.6× 24 0.4× 57 0.9× 50 0.9× 33 682
Qussay Al-Jubouri United Kingdom 13 33 0.3× 121 1.9× 17 0.3× 42 0.7× 94 1.7× 27 475
Weifu Li China 17 67 0.5× 52 0.8× 45 0.7× 48 0.8× 70 1.3× 65 746
Danish M. Khan Malaysia 12 199 1.5× 16 0.3× 34 0.5× 23 0.4× 21 0.4× 25 573
Jingqiao Lü China 10 117 0.9× 15 0.2× 18 0.3× 81 1.3× 111 2.1× 21 380

Countries citing papers authored by Praveen Venkatesh

Since Specialization
Citations

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

Fields of papers citing papers by Praveen Venkatesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Praveen Venkatesh. 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 Praveen Venkatesh. The network helps show where Praveen Venkatesh may publish in the future.

Co-authorship network of co-authors of Praveen Venkatesh

This figure shows the co-authorship network connecting the top 25 collaborators of Praveen Venkatesh. A scholar is included among the top collaborators of Praveen Venkatesh 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 Praveen Venkatesh. Praveen Venkatesh 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.
Venkatesh, Praveen, et al.. (2024). Information-Theoretic Tools to Understand Distributed Source Coding in Neuroscience. IEEE Journal on Selected Areas in Information Theory. 5. 509–519.
2.
Venkatesh, Praveen, et al.. (2024). FF-RRT*: A Sampling-Based Planner for Multirobot Global Formation Path Planning. Journal of Mechanisms and Robotics. 16(10). 1 indexed citations
3.
Venkatesh, Praveen, et al.. (2023). Capturing and Interpreting Unique Information. 2631–2636.
4.
Mohawesh, Rami, et al.. (2023). Foundation and large language models: fundamentals, challenges, opportunities, and social impacts. Cluster Computing. 27(1). 1–26. 70 indexed citations
5.
6.
Raja, S. Charles, et al.. (2022). Energy Pattern Classification and Prediction in an Educational Institution using Deep Learning Framework. Electric Power Components and Systems. 50(11-12). 615–635. 4 indexed citations
7.
Venkatesh, Praveen, Nathaniel Sisterson, Alexandra Urban, et al.. (2021). Quantifying a frequency modulation response biomarker in responsive neurostimulation. Journal of Neural Engineering. 18(4). 46017–46017. 9 indexed citations
8.
Venkatesh, Praveen, Sanghamitra Dutta, & Pulkit Grover. (2020). How else can we define Information Flow in Neural Circuits?. 2879–2884. 2 indexed citations
9.
Venkatesh, Praveen, et al.. (2019). Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models. Neural Information Processing Systems. 32. 10364–10375. 1 indexed citations
10.
Venkatesh, Praveen, Sanghamitra Dutta, & Pulkit Grover. (2019). How should we define Information Flow in Neural Circuits?. 176–180. 5 indexed citations
11.
Basha, CMAK Zeelan, et al.. (2019). Computer based Registration for Skill Development. International Journal of Engineering and Advanced Technology. 9(1). 5190–5193. 8 indexed citations
12.
Haigh, Sarah M., et al.. (2019). Altered Visual Processing in Migraine Not Associated with Auditory Abnormalities. Journal of Vision. 19(10). 275–275. 1 indexed citations
13.
Venkatesh, Praveen, et al.. (2018). F123. Ultra-high-density scalp EEG outperforms localized invasive ECoG grids in inferring depth of seizure foci. Clinical Neurophysiology. 129. e113–e113.
14.
George, Shilpa, Praveen Venkatesh, Maysamreza Chamanzar, et al.. (2018). An Algorithm for Automated, Noninvasive Detection of Cortical Spreading Depolarizations Based on EEG Simulations. IEEE Transactions on Biomedical Engineering. 66(4). 1115–1126. 19 indexed citations
15.
Krishnan, Ashwati, et al.. (2018). Low-Cost Carbon Fiber-Based Conductive Silicone Sponge EEG Electrodes. PubMed. 2018. 1287–1290. 10 indexed citations
16.
Robinson, Amanda K., Praveen Venkatesh, Matthew J. Boring, et al.. (2017). Very high density EEG elucidates spatiotemporal aspects of early visual processing. Scientific Reports. 7(1). 16248–16248. 256 indexed citations
17.
Venkatesh, Praveen & Pulkit Grover. (2017). Lower bounds on the minimax risk for the source localization problem. 3. 3080–3084. 4 indexed citations
18.
Venkatesh, Praveen, et al.. (2017). Reduction of Dimensionality in Structured Data Sets on Clustering Efficiency in Data Mining. 12. 1–4. 2 indexed citations
19.
Grover, Pulkit & Praveen Venkatesh. (2016). An Information-Theoretic View of EEG Sensing. Proceedings of the IEEE. 105(2). 367–384. 28 indexed citations
20.
Grover, Pulkit, Jeffrey A. Weldon, Shawn Kelly, Praveen Venkatesh, & Haewon Jeong. (2015). An information theoretic technique for harnessing attenuation of high spatial frequencies to design ultra-high-density EEG. 901–908. 4 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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