Rajeev Kumar

1.3k total citations
84 papers, 888 citations indexed

About

Rajeev Kumar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Rajeev Kumar has authored 84 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 17 papers in Computer Networks and Communications and 9 papers in Signal Processing. Recurrent topics in Rajeev Kumar's work include Advanced Steganography and Watermarking Techniques (55 papers), Chaos-based Image/Signal Encryption (48 papers) and Digital Media Forensic Detection (43 papers). Rajeev Kumar is often cited by papers focused on Advanced Steganography and Watermarking Techniques (55 papers), Chaos-based Image/Signal Encryption (48 papers) and Digital Media Forensic Detection (43 papers). Rajeev Kumar collaborates with scholars based in India, South Korea and Germany. Rajeev Kumar's co-authors include Samayveer Singh, Ki‐Hyun Jung, Satish Chand, Arun Malik, Neeraj Kumar, Bijendra Kumar, Aridaman Singh Nandan, Gurjinder Kaur, Ajay K. Sharma and Rajneesh Rani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Rajeev Kumar

73 papers receiving 846 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajeev Kumar India 16 688 149 102 60 49 84 888
Mohsen A. M. El‐Bendary Egypt 14 240 0.3× 123 0.8× 213 2.1× 73 1.2× 64 1.3× 57 526
Mansi Subhedar India 9 379 0.6× 137 0.9× 84 0.8× 34 0.6× 56 1.1× 22 578
Eva Hörster Germany 10 321 0.5× 91 0.6× 72 0.7× 78 1.3× 27 0.6× 16 477
Osama Abu-Elnasr Egypt 4 171 0.2× 127 0.9× 42 0.4× 91 1.5× 24 0.5× 7 373
Mingqing Hu China 9 588 0.9× 32 0.2× 31 0.3× 198 3.3× 22 0.4× 16 718
Nataša Živić Germany 11 121 0.2× 87 0.6× 120 1.2× 96 1.6× 18 0.4× 69 320
Saurav Ghosh India 12 126 0.2× 104 0.7× 92 0.9× 145 2.4× 13 0.3× 40 394
K. Poulose Jacob India 9 63 0.1× 203 1.4× 147 1.4× 48 0.8× 69 1.4× 54 359
S. Prasanna India 8 164 0.2× 66 0.4× 27 0.3× 107 1.8× 35 0.7× 22 298

Countries citing papers authored by Rajeev Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajeev Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Rajeev Kumar. A scholar is included among the top collaborators of Rajeev 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 Rajeev Kumar. Rajeev 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.
Gandhi, Sonal & Rajeev Kumar. (2025). Survey of reversible data hiding: Statistics, current trends, and future outlook. Computer Standards & Interfaces. 94. 104003–104003. 1 indexed citations
2.
3.
Akhtar, Rizwan, et al.. (2024). Deep Learning Approach for Classifying DDoS Attack Traffic in SDN Environments. SHILAP Revista de lepidopterología. 7(2). 109–126.
4.
Kumar, Rajeev, et al.. (2024). Leveraging rANS for synchronized high capacity reversible data hiding in encrypted image. Expert Systems with Applications. 267. 126181–126181.
5.
Singh, Samayveer, et al.. (2024). Optimizing Secure Data Transmission in 6G-Enabled IoMT Using Blockchain Integration. IEEE Transactions on Consumer Electronics. 71(2). 4534–4543. 4 indexed citations
6.
Pandey, Mayank, Samayveer Singh, Arun Malik, & Rajeev Kumar. (2024). Detecting low-resolution deepfakes: an exploration of machine learning techniques. Multimedia Tools and Applications. 83(25). 66283–66298. 2 indexed citations
7.
Lin, Chia‐Chen, et al.. (2024). Charting the Growth of Text Summarisation: A Data-Driven Exploration of Research Trends and Technological Advancements. Applied Sciences. 14(23). 11462–11462. 2 indexed citations
8.
Kumar, Sanjay, et al.. (2024). A review on deepfake generation and detection: bibliometric analysis. Multimedia Tools and Applications. 83(40). 87579–87619. 7 indexed citations
9.
Kumar, Rajeev, Roberto Caldelli, KokSheik Wong, Arun Malik, & Ki‐Hyun Jung. (2024). High-fidelity reversible data hiding using novel comprehensive rhombus predictor. Multimedia Tools and Applications. 84(8). 4115–4137. 3 indexed citations
10.
Gandhi, Sonal & Rajeev Kumar. (2024). A high-capacity reversible data hiding with contrast enhancement and brightness preservation for medical images. Multimedia Tools and Applications. 84(8). 5239–5264. 1 indexed citations
11.
Kumar, Rajeev, et al.. (2023). High capacity reversible data hiding with contiguous space in encrypted images. Computers & Electrical Engineering. 112. 109017–109017. 8 indexed citations
12.
Kumar, Rajeev, et al.. (2023). A review of different prediction methods for reversible data hiding. Journal of Information Security and Applications. 78. 103572–103572. 14 indexed citations
13.
14.
Kumar, Rajeev, et al.. (2023). Digital image watermarking technique based on adaptive median filter and HL sub-band of two-stage DWT. International Journal of Computer Aided Engineering and Technology. 18(4). 290–310. 2 indexed citations
15.
Kumar, Neeraj, Rajeev Kumar, Arun Malik, Samayveer Singh, & Ki‐Hyun Jung. (2023). Reversible data hiding with high visual quality using pairwise PVO and PEE. Multimedia Tools and Applications. 82(20). 30733–30758. 8 indexed citations
16.
Singh, Samayveer, Mohit Kumar, Om Prakash Verma, Rajeev Kumar, & Sukhpal Singh Gill. (2022). An IIoT based secure and sustainable smart supply chain system using sensor networks. Transactions on Emerging Telecommunications Technologies. 34(2). 3 indexed citations
17.
Nandan, Aridaman Singh, Samayveer Singh, Arun Malik, & Rajeev Kumar. (2021). A Green Data Collection & Transmission Method for IoT-Based WSN in Disaster Management. IEEE Sensors Journal. 21(22). 25912–25921. 37 indexed citations
18.
Kumar, Rajeev, Satish Chand, & Samayveer Singh. (2018). A reversible data hiding scheme using pixel location.. The International Arab Journal of Information Technology. 15. 763–768. 14 indexed citations
19.
Kumar, Rajeev, et al.. (2015). A Review: DWT-DCT Technique and Arithmetic-Huffman Coding based Image Compression. International Journal of Engineering and Manufacturing. 5(3). 20–33. 9 indexed citations
20.
Singh, Samayveer, et al.. (2012). A Distributed Energy-Efficient Target Tracking Protocol for Three Level Heterogeneous Sensor Networks. International Journal of Computer Applications. 51(11). 31–36. 4 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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