N. Krishnaraj
Impact in
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- Image Enhancement Techniques
- Advanced Steganography and Watermarking Techniques
- Advanced Data Compression Techniques
Papers in
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- Advanced Steganography and Watermarking Techniques 2
- Digital Media Forensic Detection 2
- Chaos-based Image/Signal Encryption 2
- Co-authors
- Mohamed Elhoseny (2 shared papers)K. Shankar (2 shared papers)M. Thenmozhi (1 shared paper)Mahmoud M. Selim (1 shared paper)K. Balasamy (2 shared papers)S. Smys (1 shared paper)Omar Aldabbas (1 shared paper)E. Laxmi Lydia (1 shared paper)
- Journals
- Wireless Personal Communications (2 papers)Software Practice and Experience (1 paper)Multimedia Tools and Applications (1 paper)Journal of Real-Time Image Processing (1 paper)EAI Endorsed Transactions on Energy Web (1 paper)
In The Last Decade
N. Krishnaraj
10 papers receiving 209 citations
Peers
Comparison fields: 5 of 53
- Business and International Management 10
- Computer Vision and Pattern Recognition 90
- Computer Networks and Communications 57
- Information Systems 53
- Artificial Intelligence 72
Countries citing papers authored by N. Krishnaraj
This map shows the geographic impact of N. Krishnaraj'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 N. Krishnaraj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Krishnaraj more than expected).
Fields of papers citing papers by N. Krishnaraj
This network shows the impact of papers produced by N. Krishnaraj. 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 N. Krishnaraj. The network helps show where N. Krishnaraj may publish in the future.
Co-authors
The 11 scholars most cited alongside N. Krishnaraj, 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 | 2019 | 113 | |
| 2 | 2020 | 30 | |
| 3 | 2019 | 21 | |
| 4 | 2022 | 21 | |
| 5 | 2021 | 17 | |
| 6 | 2022 | 13 | |
| 7 | 2021 | 6 | |
| 8 | 2022 | 6 | |
| 9 | 2020 | 6 | |
| 10 | 2018 | 2 | |
| 11 | 2014 | 1 | |
| 12 | 2014 | 1 |
About N. Krishnaraj
N. Krishnaraj is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Molecular Biology and Computational Theory and Mathematics, having authored 12 papers that have together received 237 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (2 papers), Digital Media Forensic Detection (2 papers), Chaos-based Image/Signal Encryption (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Software-Defined Networks and 5G (2 papers), DNA and Biological Computing (2 papers), semigroups and automata theory (2 papers) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Business and International Management (10 citations), Computer Vision and Pattern Recognition (90 citations), Computer Networks and Communications (57 citations), Information Systems (53 citations) and Artificial Intelligence (72 citations). N. Krishnaraj has collaborated with scholars based in India, Egypt and Jordan. Frequent co-authors include Mohamed Elhoseny, K. Shankar, M. Thenmozhi, Mahmoud M. Selim, K. Balasamy, S. Smys, Omar Aldabbas, E. Laxmi Lydia, V. Seethalakshmi and Jaya Prakash. Their work appears in journals such as Wireless Personal Communications, Software Practice and Experience, Multimedia Tools and Applications, Journal of Real-Time Image Processing and EAI Endorsed Transactions on Energy Web.
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.