Sundeep Prabhakar Chepuri

2.1k total citations
90 papers, 1.4k citations indexed

About

Sundeep Prabhakar Chepuri is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Sundeep Prabhakar Chepuri has authored 90 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 34 papers in Artificial Intelligence and 31 papers in Computer Networks and Communications. Recurrent topics in Sundeep Prabhakar Chepuri's work include Distributed Sensor Networks and Detection Algorithms (25 papers), Indoor and Outdoor Localization Technologies (22 papers) and Sparse and Compressive Sensing Techniques (21 papers). Sundeep Prabhakar Chepuri is often cited by papers focused on Distributed Sensor Networks and Detection Algorithms (25 papers), Indoor and Outdoor Localization Technologies (22 papers) and Sparse and Compressive Sensing Techniques (21 papers). Sundeep Prabhakar Chepuri collaborates with scholars based in Netherlands, India and China. Sundeep Prabhakar Chepuri's co-authors include Geert Leus, Sina Maleki, Yonina C. Eldar, A. van Veen, Sijia Liu, Makan Fardad, Engin Maşazade, Pramod K. Varshney, Fan Liu and Mario Coutiño and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Wireless Communications and IEEE Signal Processing Magazine.

In The Last Decade

Sundeep Prabhakar Chepuri

80 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sundeep Prabhakar Chepuri Netherlands 21 684 502 429 319 232 90 1.4k
Naitong Zhang China 21 807 1.2× 345 0.7× 365 0.9× 147 0.5× 446 1.9× 105 1.6k
Giuseppe Thadeu Freitas de Abreu Germany 24 1.6k 2.3× 853 1.7× 422 1.0× 281 0.9× 155 0.7× 236 2.0k
Ping Wei China 18 435 0.6× 195 0.4× 461 1.1× 412 1.3× 565 2.4× 206 1.4k
Xuemai Gu China 26 1.4k 2.1× 978 1.9× 1.2k 2.9× 204 0.6× 149 0.6× 193 2.4k
Jianjiang Zhou China 23 653 1.0× 364 0.7× 1.6k 3.8× 466 1.5× 328 1.4× 181 2.2k
Ling Wang China 19 813 1.2× 467 0.9× 762 1.8× 189 0.6× 213 0.9× 208 1.6k
Pedro M. Q. Aguiar Portugal 17 235 0.3× 408 0.8× 131 0.3× 285 0.9× 97 0.4× 70 1.2k
Chandra R. Murthy India 22 1.4k 2.1× 890 1.8× 251 0.6× 155 0.5× 230 1.0× 209 1.9k
Tamal Bose United States 20 418 0.6× 372 0.7× 256 0.6× 251 0.8× 369 1.6× 160 1.4k
A. Dogandzic United States 18 377 0.6× 342 0.7× 326 0.8× 181 0.6× 353 1.5× 73 1.1k

Countries citing papers authored by Sundeep Prabhakar Chepuri

Since Specialization
Citations

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

Fields of papers citing papers by Sundeep Prabhakar Chepuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sundeep Prabhakar Chepuri. 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 Sundeep Prabhakar Chepuri. The network helps show where Sundeep Prabhakar Chepuri may publish in the future.

Co-authorship network of co-authors of Sundeep Prabhakar Chepuri

This figure shows the co-authorship network connecting the top 25 collaborators of Sundeep Prabhakar Chepuri. A scholar is included among the top collaborators of Sundeep Prabhakar Chepuri 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 Sundeep Prabhakar Chepuri. Sundeep Prabhakar Chepuri 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.
Chepuri, Sundeep Prabhakar, et al.. (2025). Sketched multi-view subspace clustering. Signal Processing. 234. 109948–109948. 1 indexed citations
2.
Chepuri, Sundeep Prabhakar, et al.. (2024). Recovery of Signals on a Simplicial Complex From Subsampled Neighborhood Aggregations. IEEE Signal Processing Letters. 32. 536–540. 2 indexed citations
3.
Leus, Geert, et al.. (2024). Receiver Antenna Allocation for Joint Sensing and Communications. 1–5. 2 indexed citations
4.
Chepuri, Sundeep Prabhakar, et al.. (2023). Coded Aperture Radar Imaging Using Reconfigurable Intelligent Surfaces. 171–175. 2 indexed citations
5.
Chepuri, Sundeep Prabhakar, Nir Shlezinger, Fan Liu, et al.. (2023). Integrated Sensing and Communications With Reconfigurable Intelligent Surfaces: From signal modeling to processing. IEEE Signal Processing Magazine. 40(6). 41–62. 104 indexed citations
6.
Meng, Xiao, Fan Liu, Shihang Lu, Sundeep Prabhakar Chepuri, & Christos Masouros. (2023). RIS-assisted Integrated Sensing and Communications: A Subspace Rotation Approach: Invited Paper. 1–6. 16 indexed citations
7.
Chepuri, Sundeep Prabhakar, et al.. (2022). Speeding up the Frank-Wolfe method using the Orthogonal Jacobi polynomials. 2 indexed citations
8.
Chepuri, Sundeep Prabhakar, et al.. (2022). Self-Calibration of Acoustic Scalar and Vector Sensor Arrays. IEEE Transactions on Signal Processing. 71. 61–75. 18 indexed citations
9.
Chepuri, Sundeep Prabhakar, et al.. (2022). A computational approach to drug repurposing using graph neural networks. Computers in Biology and Medicine. 150. 105992–105992. 24 indexed citations
10.
Chepuri, Sundeep Prabhakar, et al.. (2021). Joint Communication and Radar Sensing with Reconfigurable Intelligent Surfaces. ePrints@IISc (Indian Institute of Science). 60 indexed citations
11.
Borgnat, Pierre, et al.. (2021). Variational graph autoencoders for multiview canonical correlation analysis. Signal Processing. 188. 108182–108182. 13 indexed citations
12.
Coutiño, Mario, et al.. (2020). Towards a general framework for fast and feasible k-space trajectories for MRI based on projection methods. Magnetic Resonance Imaging. 72. 122–134.
13.
Coutiño, Mario, et al.. (2019). Sparse Sampling for Inverse Problems With Tensors. IEEE Transactions on Signal Processing. 67(12). 3272–3286. 22 indexed citations
14.
Chepuri, Sundeep Prabhakar, et al.. (2019). Blind Calibration of Sparse Arrays for DOA Estimation with Analog and One-bit Measurements. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 4185–4189. 9 indexed citations
15.
Han, Jing, Sundeep Prabhakar Chepuri, Qunfei Zhang, & Geert Leus. (2018). Iterative Per-Vector Equalization for Orthogonal Signal-Division Multiplexing Over Time-Varying Underwater Acoustic Channels. IEEE Journal of Oceanic Engineering. 44(1). 240–255. 32 indexed citations
16.
Chepuri, Sundeep Prabhakar, et al.. (2017). Near-optimal greedy sensor selection for MVDR beamforming with modular budget constraint. 1981–1985. 7 indexed citations
17.
Chepuri, Sundeep Prabhakar & Geert Leus. (2015). Sparse Sensing for Distributed Detection. IEEE Transactions on Signal Processing. 64(6). 1446–1460. 39 indexed citations
18.
Chepuri, Sundeep Prabhakar, et al.. (2015). DOA estimation using sparse vector sensor arrays. 333–336. 11 indexed citations
19.
Maleki, Sina, Sundeep Prabhakar Chepuri, & Geert Leus. (2011). Optimal hard fusion strategies for cognitive radio networks. Open Repository and Bibliography (University of Luxembourg). 1926–1931. 38 indexed citations
20.
Maleki, Sina, Sundeep Prabhakar Chepuri, & Geert Leus. (2011). Energy and throughput efficient strategies for cooperative spectrum sensing in cognitive radios. Open Repository and Bibliography (University of Luxembourg). 71–75. 51 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Naitong Zhang Breakdown of academic impact, for papers by Giuseppe Thadeu Freitas de Abreu Breakdown of academic impact, for papers by Ping Wei Breakdown of academic impact, for papers by Xuemai Gu Breakdown of academic impact, for papers by Jianjiang Zhou Breakdown of academic impact, for papers by Ling Wang Breakdown of academic impact, for papers by Pedro M. Q. Aguiar Breakdown of academic impact, for papers by Chandra R. Murthy Breakdown of academic impact, for papers by Tamal Bose Breakdown of academic impact, for papers by A. Dogandzic
Rankless by CCL
2026