Ünal Çavuşoğlu
Impact in
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- Chaos control and synchronization
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
Papers in
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- Chaos-based Image/Signal Encryption 31
- Advanced Steganography and Watermarking Techniques 5
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- Chaos control and synchronization 22
- Co-authors
- Sezgin Kaçar (29 shared papers)Ahmet Zengi̇n (7 shared papers)İhsan Pehli̇van (6 shared papers)Akif Akgül (14 shared papers)Sundarapandian Vaıdyanathan (9 shared papers)Devrim Akgün (6 shared papers)Aceng Sambas (6 shared papers)Cüneyt Bayılmış (5 shared papers)
In The Last Decade
Ünal Çavuşoğlu
51 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 81
- Statistical and Nonlinear Physics 626
- Computer Vision and Pattern Recognition 980
- Computer Networks and Communications 651
- Artificial Intelligence 765
- Signal Processing 236
Countries citing papers authored by Ünal Çavuşoğlu
This map shows the geographic impact of Ünal Çavuşoğlu'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 Ünal Çavuşoğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ünal Çavuşoğlu more than expected).
Fields of papers citing papers by Ünal Çavuşoğlu
This network shows the impact of papers produced by Ünal Çavuşoğlu. 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 Ünal Çavuşoğlu. The network helps show where Ünal Çavuşoğlu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ünal Çavuşoğlu, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 247 | |
| 2 | 2016 | 162 | |
| 3 | 2019 | 131 | |
| 4 | 2022 | 115 | |
| 5 | 2019 | 107 | |
| 6 | 2018 | 105 | |
| 7 | 2017 | 97 | |
| 8 | 2022 | 95 | |
| 9 | 2018 | 82 | |
| 10 | 2021 | 56 | |
| 11 | 2018 | 56 | |
| 12 | 2018 | 50 | |
| 13 | 2018 | 46 | |
| 14 | 2016 | 45 | |
| 15 | 2024 | 45 | |
| 16 | 2018 | 42 | |
| 17 | 2019 | 41 | |
| 18 | 2017 | 35 | |
| 19 | 2015 | 32 | |
| 20 | 2019 | 28 |
About Ünal Çavuşoğlu
Ünal Çavuşoğlu is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computer Networks and Communications, Artificial Intelligence and Mathematical Physics, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (31 papers), Chaos control and synchronization (22 papers), Network Security and Intrusion Detection (8 papers), Cryptographic Implementations and Security (8 papers), Mathematical Dynamics and Fractals (7 papers), Advanced Malware Detection Techniques (7 papers), Cellular Automata and Applications (7 papers) and Advanced Steganography and Watermarking Techniques (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (626 citations), Computer Vision and Pattern Recognition (980 citations), Computer Networks and Communications (651 citations), Artificial Intelligence (765 citations) and Signal Processing (236 citations). Ünal Çavuşoğlu has collaborated with scholars based in Türkiye, India and Iran. Frequent co-authors include Sezgin Kaçar, Ahmet Zengi̇n, İhsan Pehli̇van, Akif Akgül, Sundarapandian Vaıdyanathan, Devrim Akgün, Aceng Sambas, Cüneyt Bayılmış, Sajad Jafari and Saleh Mobayen. Their work appears in journals such as Applied Sciences, Nonlinear Dynamics, Chaos Solitons & Fractals, Internet of Things and International Journal of Bio-Inspired Computation.
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.