Pulkit Grover

3.7k total citations · 1 hit paper
131 papers, 2.2k citations indexed

About

Pulkit Grover is a scholar working on Computer Networks and Communications, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Pulkit Grover has authored 131 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Networks and Communications, 47 papers in Cognitive Neuroscience and 45 papers in Electrical and Electronic Engineering. Recurrent topics in Pulkit Grover's work include Error Correcting Code Techniques (29 papers), Neural dynamics and brain function (29 papers) and EEG and Brain-Computer Interfaces (28 papers). Pulkit Grover is often cited by papers focused on Error Correcting Code Techniques (29 papers), Neural dynamics and brain function (29 papers) and EEG and Brain-Computer Interfaces (28 papers). Pulkit Grover collaborates with scholars based in United States, India and Canada. Pulkit Grover's co-authors include Anant Sahai, Praveen Venkatesh, Marlene Behrmann, Sanghamitra Dutta, Amanda K. Robinson, Matthew J. Boring, Jiaming Cao, Michael J. Tarr, Viveck R. Cadambe and Yaoqing Yang and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Pulkit Grover

122 papers receiving 2.1k citations

Hit Papers

Shannon meets Tesla: Wireless information and power transfer 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pulkit Grover United States 19 1.2k 514 350 278 171 131 2.2k
Paolo Arena Italy 21 406 0.3× 362 0.7× 380 1.1× 402 1.4× 237 1.4× 161 1.9k
Bertram E. Shi Hong Kong 25 803 0.7× 281 0.5× 818 2.3× 726 2.6× 247 1.4× 193 2.8k
Zhaofei Yu China 23 1.1k 1.0× 342 0.7× 689 2.0× 511 1.8× 191 1.1× 98 1.9k
Dezhi Zheng China 27 798 0.7× 277 0.5× 455 1.3× 165 0.6× 232 1.4× 185 2.3k
Il Memming Park United States 23 421 0.4× 268 0.5× 658 1.9× 475 1.7× 272 1.6× 78 2.1k
Chung‐Chuan Lo Taiwan 21 1.0k 0.9× 90 0.2× 983 2.8× 236 0.8× 472 2.8× 76 2.4k
Luca Patané Italy 18 357 0.3× 129 0.3× 324 0.9× 226 0.8× 218 1.3× 145 1.2k
Jonathan Tapson Australia 22 997 0.8× 117 0.2× 678 1.9× 1.0k 3.6× 376 2.2× 118 2.4k
Sanqing Hu China 23 361 0.3× 486 0.9× 935 2.7× 375 1.3× 349 2.0× 71 2.0k
Ting Zhou China 17 767 0.6× 349 0.7× 137 0.4× 88 0.3× 40 0.2× 146 1.5k

Countries citing papers authored by Pulkit Grover

Since Specialization
Citations

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

Fields of papers citing papers by Pulkit Grover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pulkit Grover

This figure shows the co-authorship network connecting the top 25 collaborators of Pulkit Grover. A scholar is included among the top collaborators of Pulkit Grover 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 Pulkit Grover. Pulkit Grover 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.
Jain, Vishal, et al.. (2025). DeepFocus: a transnasal approach for optimized deep brain stimulation of reward circuit nodes. Journal of Neural Engineering. 22(1). 16048–16048. 1 indexed citations
2.
Grover, Pulkit, et al.. (2024). Message- Relevant Dimension Reduction of Neural Populations. 262–267.
3.
Cao, Jiaming, et al.. (2024). Exploring the impact and influence of melanin on frequency-domain near-infrared spectroscopy measurements. Journal of Biomedical Optics. 29(S3). S33310–S33310. 3 indexed citations
4.
Cao, Jiaming, et al.. (2024). Cell-specific effects of temporal interference stimulation on cortical function. Communications Biology. 7(1). 1076–1076. 10 indexed citations
5.
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.
6.
Zabihi, Morteza, et al.. (2023). HyperEnsemble Learning from Multimodal Biosignals to Robustly Predict Functional Outcome after Cardiac Arrest. Computing in cardiology. 50. 2 indexed citations
7.
Elmer, Jonathan, et al.. (2023). Noninvasive and reliable automated detection of spreading depolarization in severe traumatic brain injury using scalp EEG. SHILAP Revista de lepidopterología. 3(1). 113–113. 12 indexed citations
8.
Grover, Pulkit, et al.. (2023). Automated Electrical Waveform Design for Cell-Type Selective Stimulation. 1 indexed citations
9.
Cao, Jiaming, Pulkit Grover, & Jana M. Kainerstorfer. (2023). A model of neurovascular coupling and its application to cortical spreading depolarization. Journal of Theoretical Biology. 572. 111580–111580. 2 indexed citations
10.
Jain, Vishal, et al.. (2023). Focused Epicranial Brain Stimulation by Spatial Sculpting of Pulsed Electric Fields Using High Density Electrode Arrays. Advanced Science. 10(20). e2207251–e2207251. 5 indexed citations
11.
Robinson, Jacob T., Karen S. Rommelfanger, Polina Anikeeva, et al.. (2022). Building a culture of responsible neurotech: Neuroethics as socio-technical challenges. Neuron. 110(13). 2057–2062. 10 indexed citations
12.
Haigh, Sarah M., et al.. (2021). Abnormalities in cortical pattern of coherence in migraine detected using ultra high-density EEG. Brain Communications. 3(2). fcab061–fcab061. 19 indexed citations
13.
Krishnan, Ashwati, et al.. (2021). Effect of skull thickness and conductivity on current propagation for noninvasively injected currents. Journal of Neural Engineering. 18(4). 46042–46042. 6 indexed citations
14.
Venkatesh, Praveen, Sanghamitra Dutta, & Pulkit Grover. (2020). How else can we define Information Flow in Neural Circuits?. 2879–2884. 2 indexed citations
15.
Gupta, Kanupriya, Pulkit Grover, & Taylor J. Abel. (2020). Current Conceptual Understanding of the Epileptogenic Network From Stereoelectroencephalography-Based Connectivity Inferences. Frontiers in Neurology. 11. 569699–569699. 13 indexed citations
16.
Jeong, Haewon, et al.. (2020). Coded QR Decomposition. 191–196. 5 indexed citations
17.
Venkatesh, Praveen, Sanghamitra Dutta, & Pulkit Grover. (2019). How should we define Information Flow in Neural Circuits?. 176–180. 5 indexed citations
18.
Haigh, Sarah M., et al.. (2019). Cortical Hyper‐Excitability in Migraine in Response to Chromatic Patterns. Headache The Journal of Head and Face Pain. 59(10). 1773–1787. 27 indexed citations
19.
Yang, Yaoqing, Pulkit Grover, & Soummya Kar. (2017). Coded distributed computing for inverse problems. Neural Information Processing Systems. 30. 709–719. 20 indexed citations
20.
Grover, Pulkit & Anant Sahai. (2010). Shannon meets Tesla: Wireless information and power transfer. 2363–2367. 783 indexed citations breakdown →

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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