Amr Aboshousha
- Computer Vision and Pattern Recognition top 2%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Mathematical Physics top 10%
- Co-authors
- Wassim AlexanEman AzabMaggie MashalyMohamed GabrRimon EliasDina El-DamakKhalid M. HosnyHisham H. Hussein
- Topics
- Chaos-based Image/Signal Encryption (10 papers)Advanced Steganography and Watermarking Techniques (4 papers)Coding theory and cryptography (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational Theory and MathematicsStatistical and Nonlinear Physics
- Partner nations
- EgyptSaudi Arabia
In The Last Decade
Amr Aboshousha
11 papers receiving 491 citations
Hit Papers
Peers
Comparison fields: 5 of 27
- Computer Vision and Pattern Recognition 420
- Computational Theory and Mathematics 146
- Artificial Intelligence 134
- Statistical and Nonlinear Physics 74
- Mathematical Physics 53
Countries citing papers authored by Amr Aboshousha
This map shows the geographic impact of Amr Aboshousha'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 Amr Aboshousha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amr Aboshousha more than expected).
Fields of papers citing papers by Amr Aboshousha
This network shows the impact of papers produced by Amr Aboshousha. 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 Amr Aboshousha. The network helps show where Amr Aboshousha may publish in the future.
Co-authorship network of co-authors of Amr Aboshousha
This figure shows the co-authorship network connecting the top 25 collaborators of Amr Aboshousha. A scholar is included among the top collaborators of Amr Aboshousha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amr Aboshousha. Amr Aboshousha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 1 | |
| 3 | 45 | |
| 4 | Color Image Encryption Through Chaos and KAA Mapbreakdown → | 149 |
| 5 | 67 | |
| 6 | 1 | |
| 7 | 123 | |
| 8 | 5 | |
| 9 | 23 | |
| 10 | 25 | |
| 11 | 42 |
About Amr Aboshousha
Amr Aboshousha is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Artificial Intelligence, having authored 11 papers that have together received 495 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (10 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Coding theory and cryptography (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (420 citations), Computational Theory and Mathematics (146 citations) and Statistical and Nonlinear Physics (74 citations). Amr Aboshousha has collaborated with scholars based in Egypt and Saudi Arabia. Frequent co-authors include Wassim Alexan, Eman Azab, Maggie Mashaly, Mohamed Gabr, Rimon Elias, Dina El-Damak, Khalid M. Hosny and Hisham H. Hussein. Their work appears in journals such as IEEE Access, Symmetry and IET Image Processing.
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.