Amir Akhavan
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Mathematical Physics top 5%
- Mathematical Dynamics and Fractals
Papers in
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- Chaos-based Image/Signal Encryption 22
- Advanced Steganography and Watermarking Techniques 3
- Image and Signal Denoising Methods 3
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- Chaos control and synchronization 13
- Quantum chaos and dynamical systems 4
- Co-authors
- A. Akhshani (20 shared papers)S. Behnia (11 shared papers)Hadi Mahmodi (6 shared papers)Azman Samsudin (10 shared papers)Z. Hassan (5 shared papers)Siew-Choo Lim (3 shared papers)Sodeif Ahadpour (2 shared papers)Akbar Mobaraki (1 shared paper)
In The Last Decade
Amir Akhavan
29 papers receiving 1.5k citations
Amir Akhavan's Hit Papers
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 1.4k
- Mathematical Physics 282
- Statistical and Nonlinear Physics 357
- Computational Theory and Mathematics 397
- Artificial Intelligence 520
Countries citing papers authored by Amir Akhavan
This map shows the geographic impact of Amir Akhavan'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 Amir Akhavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Akhavan more than expected).
Fields of papers citing papers by Amir Akhavan
This network shows the impact of papers produced by Amir Akhavan. 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 Amir Akhavan. The network helps show where Amir Akhavan may publish in the future.
Co-authors
The 24 scholars most cited alongside Amir Akhavan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A novel algorithm for image encryption based on mixture of chaotic maps Hit paper breakdown → | 2006 | 336 |
| 2 | 2007 | 191 | |
| 3 | 2012 | 166 | |
| 4 | 2013 | 158 | |
| 5 | 2010 | 124 | |
| 6 | 2017 | 74 | |
| 7 | 2011 | 63 | |
| 8 | 2015 | 62 | |
| 9 | 2013 | 48 | |
| 10 | 2015 | 43 | |
| 11 | 2009 | 37 | |
| 12 | 2013 | 36 | |
| 13 | 2008 | 33 | |
| 14 | 2017 | 32 | |
| 15 | 2015 | 29 | |
| 16 | 2011 | 27 | |
| 17 | 2009 | 27 | |
| 18 | 2008 | 24 | |
| 19 | 2006 | 18 | |
| 20 | 2010 | 11 |
About Amir Akhavan
Amir Akhavan is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Mathematical Physics, Artificial Intelligence and Computational Theory and Mathematics, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (22 papers), Chaos control and synchronization (13 papers), Mathematical Dynamics and Fractals (11 papers), Quantum chaos and dynamical systems (4 papers), Cryptographic Implementations and Security (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Image and Signal Denoising Methods (3 papers) and Cellular Automata and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Mathematical Physics (282 citations), Statistical and Nonlinear Physics (357 citations), Computational Theory and Mathematics (397 citations) and Artificial Intelligence (520 citations). Amir Akhavan has collaborated with scholars based in Malaysia, Iran and Türkiye. Frequent co-authors include A. Akhshani, S. Behnia, Hadi Mahmodi, Azman Samsudin, Z. Hassan, Siew-Choo Lim, Sodeif Ahadpour, Akbar Mobaraki, Je Sen Teh and H. Abu Hassan. Their work appears in journals such as Chaos Solitons & Fractals, Nonlinear Dynamics, Communications in Nonlinear Science and Numerical Simulation, Optics Communications and Scientific Reports.
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.