Prabir Kumar Naskar
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
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- Cellular Automata and Applications
Papers in
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- Chaos-based Image/Signal Encryption 12
- Advanced Steganography and Watermarking Techniques 8
- Digital Imaging for Blood Diseases 2
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- Cryptography and Data Security 3
- Cryptographic Implementations and Security 3
- AI in cancer detection 3
- Metaheuristic Optimization Algorithms Research 2
- Co-authors
- Atal Chaudhuri (12 shared papers)Krishna Gopal Dhal (7 shared papers)Swarnajit Ray (5 shared papers)Jorge Gálvez (2 shared papers)Arunita Das (3 shared papers)Arunita Das (1 shared paper)Shahram Rahimi (1 shared paper)Utpal Biswas (1 shared paper)
In The Last Decade
Prabir Kumar Naskar
20 papers receiving 314 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 260
- Computational Theory and Mathematics 80
- Artificial Intelligence 119
- Statistical and Nonlinear Physics 41
- Mathematical Physics 25
Countries citing papers authored by Prabir Kumar Naskar
This map shows the geographic impact of Prabir Kumar Naskar'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 Prabir Kumar Naskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabir Kumar Naskar more than expected).
Fields of papers citing papers by Prabir Kumar Naskar
This network shows the impact of papers produced by Prabir Kumar Naskar. 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 Prabir Kumar Naskar. The network helps show where Prabir Kumar Naskar may publish in the future.
Co-authors
The 10 scholars most cited alongside Prabir Kumar Naskar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 94 | |
| 2 | 2019 | 43 | |
| 3 | 2021 | 32 | |
| 4 | 2020 | 25 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 16 | |
| 7 | 2014 | 14 | |
| 8 | 2011 | 9 | |
| 9 | 2014 | 9 | |
| 10 | 2011 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2015 | 7 | |
| 14 | Minimization of Handoff Failure by Introducing a New Cell Coverage Area in the Handoff Region | 2011 | 7 |
| 15 | 2011 | 6 | |
| 16 | 2016 | 6 | |
| 17 | 2016 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2014 | 3 | |
| 20 | A New Non-Blocking Synchronous Checkpointing Scheme for Distributed Systems. | 2005 | 2 |
About Prabir Kumar Naskar
Prabir Kumar Naskar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Molecular Biology, having authored 21 papers that have together received 324 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (12 papers), Advanced Steganography and Watermarking Techniques (8 papers), Cryptography and Data Security (3 papers), Cryptographic Implementations and Security (3 papers), AI in cancer detection (3 papers), Cellular Automata and Applications (3 papers), Digital Imaging for Blood Diseases (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (260 citations), Computational Theory and Mathematics (80 citations), Artificial Intelligence (119 citations), Statistical and Nonlinear Physics (41 citations) and Mathematical Physics (25 citations). Prabir Kumar Naskar has collaborated with scholars based in India, Mexico and Jordan. Frequent co-authors include Atal Chaudhuri, Krishna Gopal Dhal, Swarnajit Ray, Jorge Gálvez, Arunita Das, Arunita Das, Shahram Rahimi, Utpal Biswas, Debabrata Sarddar and Abdelazim G. Hussien. Their work appears in journals such as Nonlinear Dynamics, Multimedia Tools and Applications, The Imaging Science Journal, Archives of Computational Methods in Engineering and Neural Computing and Applications.
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.