Sanjeev Kumar

3.2k total citations · 1 hit paper
140 papers, 2.2k citations indexed

About

Sanjeev Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Sanjeev Kumar has authored 140 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 13 papers in Computational Mechanics. Recurrent topics in Sanjeev Kumar's work include Advanced Vision and Imaging (33 papers), Chaos-based Image/Signal Encryption (17 papers) and Optical measurement and interference techniques (14 papers). Sanjeev Kumar is often cited by papers focused on Advanced Vision and Imaging (33 papers), Chaos-based Image/Signal Encryption (17 papers) and Optical measurement and interference techniques (14 papers). Sanjeev Kumar collaborates with scholars based in India, United States and Italy. Sanjeev Kumar's co-authors include Anthony D. Nguyen, Christopher J. Hughes, Wyatt Lloyd, Balasubramanian Raman, Truong Q. Nguyen, Ken Birman, Qi Huang, Robbert van Renesse, Asha Rani and Mainak Biswas and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Sanjeev Kumar

134 papers receiving 2.1k citations

Hit Papers

Finding a needle in Haystack: facebook's photo storage 2010 2026 2015 2020 2010 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjeev Kumar India 24 796 748 382 343 327 140 2.2k
Xiao Chen China 20 485 0.6× 458 0.6× 367 1.0× 127 0.4× 319 1.0× 130 2.1k
Liqiang Wang United States 23 780 1.0× 430 0.6× 410 1.1× 302 0.9× 121 0.4× 125 1.9k
Ming Liu China 23 843 1.1× 413 0.6× 187 0.5× 184 0.5× 694 2.1× 168 2.3k
Feng Chen China 21 1.3k 1.6× 280 0.4× 301 0.8× 432 1.3× 177 0.5× 151 2.4k
M. N. S. Swamy Canada 23 245 0.3× 537 0.7× 201 0.5× 51 0.1× 542 1.7× 160 2.2k
P. Krishnamurthy United States 38 1.9k 2.4× 423 0.6× 119 0.3× 208 0.6× 2.5k 7.6× 272 6.0k
L. Paul Chew United States 24 674 0.8× 965 1.3× 93 0.2× 530 1.5× 103 0.3× 47 2.9k
Bin Yu China 18 731 0.9× 704 0.9× 79 0.2× 43 0.1× 713 2.2× 87 2.6k
Zvi M. Kedem United States 20 829 1.0× 720 1.0× 218 0.6× 429 1.3× 178 0.5× 74 2.3k
Tao Wan China 27 446 0.6× 1.0k 1.4× 150 0.4× 56 0.2× 187 0.6× 154 2.6k

Countries citing papers authored by Sanjeev Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjeev Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Kumar. A scholar is included among the top collaborators of Sanjeev Kumar 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 Sanjeev Kumar. Sanjeev Kumar 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.
Verma, Vivek, et al.. (2024). Novel image encryption algorithm using hybrid 3D-ICPCM and hessenberg decomposition. Nonlinear Dynamics. 112(12). 10583–10609. 11 indexed citations
2.
Verma, Vivek & Sanjeev Kumar. (2024). Quantum image encryption algorithm based on 3D-BNM chaotic map. Nonlinear Dynamics. 113(4). 3829–3855. 20 indexed citations
3.
Kumar, Sanjeev, et al.. (2023). A secure deterministic remote state preparation via a seven-qubit entangled channel of a two-qubit entangled state under the impact of quantum noise. Optics Communications. 535. 129352–129352. 3 indexed citations
4.
Kumar, Sanjeev, et al.. (2023). Quantum secret sharing protocol through noisy channel with application in visual cryptography. Concurrency and Computation Practice and Experience. 36(2). 1 indexed citations
5.
Kumar, Sanjeev, et al.. (2023). A d-level quantum secret sharing scheme with cheat-detection (t, m) threshold. Quantum Information Processing. 22(5). 16 indexed citations
6.
Kumar, Sanjeev, et al.. (2022). Solving a generalized order improved diffusion equation of image denoising using a CeNN-based scheme. Multimedia Tools and Applications. 81(22). 32393–32420. 1 indexed citations
7.
Kumar, Sanjeev, et al.. (2022). Comparative Analysis of Security Techniques in Internet of Things. 3. 407–412. 1 indexed citations
8.
Kumar, Sanjeev, et al.. (2022). An OMP-TV2 algorithm for detecting white matter fiber crossings in brain MRI. Psychiatry Research Neuroimaging. 321. 111448–111448. 2 indexed citations
9.
Sharma, Manish, et al.. (2021). On-Demand Reconfigurable WiMAX/WLAN UWB-X Band High Isolation 2×2 MIMO Antenna for Imaging Applications. IETE Journal of Research. 69(9). 5993–6005. 14 indexed citations
10.
Kumar, Sanjeev, et al.. (2020). A CNN-based computational algorithm for nonlinear image diffusion problem. Multimedia Tools and Applications. 79(33-34). 23887–23908. 6 indexed citations
11.
Kumar, Sanjeev, et al.. (2020). Generating visually coherent encrypted images with reversible data hiding in wavelet domain by fusing chaos and pairing function. Computer Communications. 162. 12–30. 6 indexed citations
12.
Kumar, Sanjeev, et al.. (2018). Finite Element Analysis of Dental Implant Surgical Guides on Fluent. International Journal of Scientific Research in Science and Technology. 4(2). 951–954. 1 indexed citations
13.
Kumar, Sanjeev, et al.. (2017). A Fast FPGA Implementation for Triple DES Encryption Scheme. Circuits and Systems. 8(9). 237–246. 12 indexed citations
14.
Kumar, Sanjeev, et al.. (2012). Human visual system and segment-based disparity estimation. AEU - International Journal of Electronics and Communications. 67(5). 372–381. 6 indexed citations
15.
Micheloni, Christian, Asha Rani, Sanjeev Kumar, & Gian Luca Foresti. (2011). A balanced neural tree for pattern classification. Neural Networks. 27. 81–90. 31 indexed citations
16.
Kumar, Sanjeev, et al.. (2010). Finding a needle in Haystack: facebook's photo storage. Operating Systems Design and Implementation. 47–60. 298 indexed citations breakdown →
17.
Kumar, Sanjeev, et al.. (2006). Performance analysis of motion-compensated de-interlacing systems. IEEE Transactions on Image Processing. 15(9). 2596–2609. 12 indexed citations
18.
Batina, Lejla, Sanjeev Kumar, Kerstin Lemke, et al.. (2005). Testing Framework for eSTREAM Proflle II Candidates. 2 indexed citations
19.
Chang, C.S., Jiong Jin, Sanjeev Kumar, et al.. (2005). Denoising of partial discharge signals in wavelet packets domain. IEE Proceedings - Science Measurement and Technology. 152(3). 129–140. 40 indexed citations
20.
Asari, K. Vijayan, Sanjeev Kumar, & D. Radhakrishnan. (1999). Technique of distortion correction in endoscopic images using a polynomial expansion. Medical & Biological Engineering & Computing. 37(1). 8–12. 21 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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