Manish Kumar
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Image and Signal Denoising Methods
- Applied Mathematics top 2%
- Mathematical Analysis and Transform Methods
Papers in
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- Mathematical Analysis and Transform Methods 20
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- Chaos-based Image/Signal Encryption 25
- Advanced Steganography and Watermarking Techniques 14
- Image and Signal Denoising Methods 14
- Co-authors
- Akhilesh PrasadAkhlad IqbalSaurabh PorwalR. S. PathakR. K. SharmaPrateek GuptaLakhwinder KaurNaresh Kumar Garg
- Journals
- Multimedia Tools and Applications (5 papers)Journal of Information Security and Applications (4 papers)Journal of Pseudo-Differential Operators and Applications (3 papers)Mathematical Methods in the Applied Sciences (2 papers)Fractals (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Manish Kumar
51 papers receiving 761 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 619
- Applied Mathematics 222
- Signal Processing 99
- Mathematical Physics 61
- Computational Theory and Mathematics 100
Countries citing papers authored by Manish Kumar
This map shows the geographic impact of Manish 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 Manish Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Kumar more than expected).
Fields of papers citing papers by Manish Kumar
This network shows the impact of papers produced by Manish 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 Manish Kumar. The network helps show where Manish Kumar may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Manish Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 11 | |
| 11 | 2018 | 11 | |
| 12 | 2016 | 174 | |
| 13 | 2016 | 1 | |
| 14 | 2016 | 9 | |
| 15 | 2016 | 19 | |
| 16 | 2014 | 38 | |
| 17 | 2014 | 1 | |
| 18 | CORPORATE GOVERNANCE: An Analysis of Impact Of Corporate Governance On Profit of Companies | 2014 | 1 |
| 19 | 2013 | 49 | |
| 20 | Improving Security and Efficiency in Attribute-Based Data Sharing | 2012 | 7 |
About Manish Kumar
Manish Kumar is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition, Signal Processing, Mathematical Physics and Computational Theory and Mathematics, having authored 56 papers that have together received 824 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (25 papers), Mathematical Analysis and Transform Methods (20 papers), Advanced Steganography and Watermarking Techniques (14 papers), Image and Signal Denoising Methods (14 papers), Digital Filter Design and Implementation (8 papers), Cryptographic Implementations and Security (6 papers), Mathematical Dynamics and Fractals (6 papers) and Cellular Automata and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (619 citations), Applied Mathematics (222 citations), Signal Processing (99 citations), Mathematical Physics (61 citations) and Computational Theory and Mathematics (100 citations). Manish Kumar has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Akhilesh Prasad, Akhlad Iqbal, Saurabh Porwal, R. S. Pathak, R. K. Sharma, Prateek Gupta, Lakhwinder Kaur, Naresh Kumar Garg, V. R. Singh and Sanjay Kumar. Their work appears in journals such as Multimedia Tools and Applications, Journal of Information Security and Applications, Journal of Pseudo-Differential Operators and Applications, Mathematical Methods in the Applied Sciences and Fractals.
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.