Venkat Chandrasekaran

696 total citations
26 papers, 369 citations indexed

About

Venkat Chandrasekaran is a scholar working on Computational Mechanics, Computer Networks and Communications and Mathematical Physics. According to data from OpenAlex, Venkat Chandrasekaran has authored 26 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 8 papers in Computer Networks and Communications and 5 papers in Mathematical Physics. Recurrent topics in Venkat Chandrasekaran's work include Sparse and Compressive Sensing Techniques (14 papers), Numerical methods in inverse problems (5 papers) and Image and Signal Denoising Methods (4 papers). Venkat Chandrasekaran is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Numerical methods in inverse problems (5 papers) and Image and Signal Denoising Methods (4 papers). Venkat Chandrasekaran collaborates with scholars based in United States, Singapore and Australia. Venkat Chandrasekaran's co-authors include Michael I. Jordan, Alan S. Willsky, Nikolai Matni, Pablo A. Parrilo, Sujay Sanghavi, Parikshit Shah, Mert Pilancı, Laurent El Ghaoui, Myung Jin Choi and Jason K. Johnson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Automatic Control and Proceedings of the IEEE.

In The Last Decade

Venkat Chandrasekaran

24 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Venkat Chandrasekaran United States	10	158	90	75	65	60	26	369
Tuo Zhao United States	13	143 0.9×	176 2.0×	32 0.4×	115 1.8×	58 1.0×	51	479
Xinyue Shen China	8	116 0.7×	109 1.2×	40 0.5×	61 0.9×	37 0.6×	17	297
Necdet Serhat Aybat United States	10	180 1.1×	70 0.8×	134 1.8×	87 1.3×	30 0.5×	23	390
Quoc Tran Dinh Belgium	11	201 1.3×	67 0.7×	51 0.7×	125 1.9×	35 0.6×	21	576
Mert Pilancı United States	9	188 1.2×	186 2.1×	23 0.3×	59 0.9×	21 0.3×	47	368
Shizhong Liao China	13	103 0.7×	249 2.8×	26 0.3×	166 2.6×	30 0.5×	68	457
Ting Hu China	11	242 1.5×	223 2.5×	26 0.3×	146 2.2×	42 0.7×	49	561
Goran Marjanovic Australia	9	184 1.2×	59 0.7×	13 0.2×	96 1.5×	75 1.3×	19	319
Shao-Po Wu United States	4	83 0.5×	59 0.7×	113 1.5×	46 0.7×	78 1.3×	5	595

Countries citing papers authored by Venkat Chandrasekaran

Since Specialization

Citations

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

Fields of papers citing papers by Venkat Chandrasekaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venkat Chandrasekaran

This figure shows the co-authorship network connecting the top 25 collaborators of Venkat Chandrasekaran. A scholar is included among the top collaborators of Venkat Chandrasekaran 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 Venkat Chandrasekaran. Venkat Chandrasekaran 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

Chandrasekaran, Venkat. (2024). Counting independent sets using the Bethe approximation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

Chandrasekaran, Venkat, et al.. (2023). Spectrahedral Regression. SIAM Journal on Optimization. 33(2). 553–588. 1 indexed citations

Saunderson, James & Venkat Chandrasekaran. (2022). Terracini convexity. Mathematical Programming. 198(1). 399–441. 1 indexed citations

Soh, Yong Sheng & Venkat Chandrasekaran. (2018). Learning Semidefinite Regularizers. Foundations of Computational Mathematics. 19(2). 375–434. 2 indexed citations

Reager, J. T., et al.. (2017). A Statistical Graphical Model of the California Reservoir System. Water Resources Research. 53(11). 9721–9739. 7 indexed citations

Matni, Nikolai & Venkat Chandrasekaran. (2016). Regularization for Design. IEEE Transactions on Automatic Control. 61(12). 3991–4006. 38 indexed citations

Berthet, Quentin & Venkat Chandrasekaran. (2015). Resource Allocation for Statistical Estimation. Proceedings of the IEEE. 104(1). 111–125. 4 indexed citations

Chandrasekaran, Venkat & Michael I. Jordan. (2013). Computational and statistical tradeoffs via convex relaxation. Proceedings of the National Academy of Sciences. 110(13). E1181–90. 83 indexed citations

Chandrasekaran, Venkat. (2013). An Energy Efficient Multihop Hierarchical Routing in Wireless sensor Networks. IOSR Journal of Electronics and Communication Engineering. 5(4). 61–65. 2 indexed citations

10.

Chandrasekaran, Venkat, et al.. (2013). A Research Survey on Experimental Tools for Simulating Wireless Sensor Networks. International Journal of Computer Applications. 79(16). 1–9. 4 indexed citations

11.

Pilancı, Mert, Laurent El Ghaoui, & Venkat Chandrasekaran. (2012). Recovery of Sparse Probability Measures via Convex Programming. CaltechAUTHORS (California Institute of Technology). 25. 2420–2428. 25 indexed citations

12.

Saunderson, James, Venkat Chandrasekaran, Pablo A. Parrilo, & Alan S. Willsky. (2012). Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

13.

Shah, Parikshit & Venkat Chandrasekaran. (2012). Group symmetry and covariance regularization. Electronic Journal of Statistics. 6(none). 11 indexed citations

14.

Shah, Parikshit & Venkat Chandrasekaran. (2011). Iterative projections for signal identification on manifolds: Global recovery guarantees. 760–767. 9 indexed citations

15.

Chandrasekaran, Venkat, Sujay Sanghavi, Pablo A. Parrilo, & Alan S. Willsky. (2009). Sparse and Low-Rank Matrix Decompositions. IFAC Proceedings Volumes. 42(10). 1493–1498. 58 indexed citations

16.

Chandrasekaran, Venkat, Sujay Sanghavi, Pablo A. Parrilo, & Alan S. Willsky. (2009). Sparse and low-rank matrix decompositions. 962–967. 51 indexed citations

17.

Choi, Myung Jin, Venkat Chandrasekaran, Dmitry Malioutov, Jason K. Johnson, & Alan S. Willsky. (2008). Multiscale stochastic modeling for tractable inference and data assimilation. Computer Methods in Applied Mechanics and Engineering. 197(43-44). 3492–3515. 12 indexed citations

18.

Wakin, Michael B., M.T. Orchard, Richard G. Baraniuk, & Venkat Chandrasekaran. (2004). Phase and magnitude perceptual sensitivities in nonredundant complex wavelet representations. Rice Digital Scholarship Archive (Rice University). 1413–1417. 5 indexed citations

19.

Chandrasekaran, Venkat, Michael B. Wakin, Dror Baron, & Richard G. Baraniuk. (2004). Compressing Piecewise Smooth Multidimensional Functions Using Surflets: Rate-Distortion Analysis. Rice Digital Scholarship Archive (Rice University). 2 indexed citations

20.

Lo, Anthony, et al.. (2002). A session management protocol for mobile computing. 5. 2592–2598. 2 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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