Shivkumar Chandrasekaran

2.6k total citations
51 papers, 1.5k citations indexed

About

Shivkumar Chandrasekaran is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Shivkumar Chandrasekaran has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Shivkumar Chandrasekaran's work include Matrix Theory and Algorithms (18 papers), Electromagnetic Scattering and Analysis (11 papers) and Digital Media Forensic Detection (8 papers). Shivkumar Chandrasekaran is often cited by papers focused on Matrix Theory and Algorithms (18 papers), Electromagnetic Scattering and Analysis (11 papers) and Digital Media Forensic Detection (8 papers). Shivkumar Chandrasekaran collaborates with scholars based in United States, Belgium and Italy. Shivkumar Chandrasekaran's co-authors include Ming Gu, Jianlin Xia, Xiaoye Sherry Li, T. Pals, B.S. Manjunath, Ilse C. F. Ipsen, P. Dewilde, Lakshmanan Nataraj, Tajuddin Manhar Mohammed and Upamanyu Madhow and has published in prestigious journals such as Journal of Computational Physics, International Journal of Computer Vision and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Shivkumar Chandrasekaran

45 papers receiving 1.2k citations

Peers

Shivkumar Chandrasekaran

CTM

AMPO

CVPR

EEE

Adhemar Bultheel Belgium

Lars Grasedyck Germany

James G. Nagy United States

Chen Greif Canada

Daniel Kreßner Switzerland

Ren‐Cang Li United States

G. W. Stewart United States

Folkmar Bornemann Germany

Ronald Cools Belgium

Ilse C. F. Ipsen United States

Adhemar Bultheel Belgium

Shivkumar Chandrasekaran

869 ×1.4

CTM

300 ×0.5

AMPO

525 ×1.5

CVPR

329 ×0.9

154 ×0.5

EEE

Citations per year, relative to Shivkumar Chandrasekaran Shivkumar Chandrasekaran (= 1×) peers Adhemar Bultheel

Countries citing papers authored by Shivkumar Chandrasekaran

Since Specialization

Citations

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

Fields of papers citing papers by Shivkumar Chandrasekaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivkumar Chandrasekaran

This figure shows the co-authorship network connecting the top 25 collaborators of Shivkumar Chandrasekaran. A scholar is included among the top collaborators of Shivkumar 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 Shivkumar Chandrasekaran. Shivkumar 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, Shivkumar, et al.. (2024). A Fast Algorithm for Computing Macaulay Null Spaces of Bivariate Polynomial Systems. SIAM Journal on Matrix Analysis and Applications. 45(1). 368–396.

Chandrasekaran, Shivkumar, et al.. (2023). CNNs Avoid the Curse of Dimensionality by Learning on Patches. IEEE Open Journal of Signal Processing. 4. 233–241. 2 indexed citations

Nataraj, Lakshmanan, et al.. (2022). SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1–11. 5 indexed citations

Raja, R., et al.. (2018). Impulsive effects on competitive neural networks with mixed delays: Existence and exponential stability analysis. Mathematics and Computers in Simulation. 155. 290–302. 24 indexed citations

Chandrasekaran, Shivkumar, et al.. (2017). TRACKING INFORMATION IN SAR IMAGE FORMATION AND CLASSIFICATION ALGORITHMS. UA Campus Repository (The University of Arizona). 1 indexed citations

Chandrasekaran, Shivkumar, et al.. (2015). EXISTENCE RESULTS FOR NEUTRAL FUNCTIONAL INTEGRODIFFERENTIAL EQUATIONS WITH INFINITE DELAY IN BANACH SPACES. Journal of applied mathematics & informatics. 33(1_2). 45–60. 1 indexed citations

Chandrasekaran, Shivkumar, et al.. (2012). Higher order numerical discretizations for exterior and biharmonic type PDEs. Journal of Computational and Applied Mathematics. 236(18). 4762–4774. 1 indexed citations

Chandrasekaran, Shivkumar, et al.. (2011). On the infinitesimal limits of the Schur complements of tridiagonal matrices. Linear Algebra and its Applications. 436(3). 659–681.

Chandrasekaran, Shivkumar, et al.. (2011). Higher Order Numerical Discretization Methods with Sobolev Norm Minimization. Procedia Computer Science. 4. 206–215. 4 indexed citations

10.

Bertelli, Luca, Shivkumar Chandrasekaran, Frédéric Gibou, & B.S. Manjunath. (2010). On the Length and Area Regularization for Multiphase Level Set Segmentation. International Journal of Computer Vision. 90(3). 267–282. 12 indexed citations

11.

Xia, Jianlin, Shivkumar Chandrasekaran, Ming Gu, & Xiaoye Sherry Li. (2009). Superfast Multifrontal Method for Large Structured Linear Systems of Equations. SIAM Journal on Matrix Analysis and Applications. 31(3). 1382–1411. 143 indexed citations

12.

Mastronardi, Nicola, Gene H. Golub, Shivkumar Chandrasekaran, et al.. (2007). Numerical Linear Algebra in Signal Processing Applications. EURASIP Journal on Advances in Signal Processing. 2007(1).

13.

Sarkar, Anindya, Upamanyu Madhow, Shivkumar Chandrasekaran, & B.S. Manjunath. (2007). Adaptive MPEG-2 video data hiding scheme. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6505. 65051D–65051D. 11 indexed citations

14.

Chandrasekaran, Shivkumar, et al.. (2006). A Fast Solver for HSS Representations via Sparse Matrices. SIAM Journal on Matrix Analysis and Applications. 29(1). 67–81. 83 indexed citations

15.

Solanki, Kaushal, Kyle T. Sullivan, Upamanyu Madhow, B.S. Manjunath, & Shivkumar Chandrasekaran. (2006). Provably Secure Steganography: Achieving Zero K-L Divergence using Statistical Restoration. 125–128. 44 indexed citations

16.

Chandrasekaran, Shivkumar, P. Dewilde, Ming Gu, et al.. (2005). Some Fast Algorithms for Sequentially Semiseparable Representations. SIAM Journal on Matrix Analysis and Applications. 27(2). 341–364. 69 indexed citations

17.

Chandrasekaran, Shivkumar & Ming Gu. (2004). A divide-and-conquer algorithm for the eigendecomposition of symmetric block-diagonal plus semiseparable matrices. Numerische Mathematik. 96(4). 723–731. 41 indexed citations

18.

Barga, Roger, et al.. (2003). Persistent applications via automatic recovery. 258–267. 10 indexed citations

19.

Chandrasekaran, Shivkumar & Ming Gu. (2000). Fast and stable eigendecomposition of symmetric banded plus semi-separable matrices. Linear Algebra and its Applications. 313(1-3). 107–114. 25 indexed citations

20.

Chandrasekaran, Shivkumar & Ilse C. F. Ipsen. (1995). On the Sensitivity of Solution Components in Linear Systems of Equations. SIAM Journal on Matrix Analysis and Applications. 16(1). 93–112. 29 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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