Ibrahim Yasser
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Advanced Neural Network Applications
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- Brain Tumor Detection and Classification
Papers in
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- Chaos-based Image/Signal Encryption 4
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- Cryptographic Implementations and Security 3
- Coding theory and cryptography 1
- Co-authors
- Mohamed A. Mohamed (7 shared papers)Fahmi Khalifa (4 shared papers)Ahmed S. Samra (3 shared papers)Hanan M. Amer (4 shared papers)A. A. Salama (1 shared paper)Ayman El‐Baz (1 shared paper)Mohammed Ghazal (1 shared paper)Harpal S. Sandhu (1 shared paper)
- Journals
- Complexity (1 paper)Sensors (1 paper)IEEE Access (1 paper)The Journal of Supercomputing (1 paper)International Journal of Computer Network and Information Security (1 paper)
- Partner nations
- EgyptUnited Arab EmiratesUnited States
In The Last Decade
Ibrahim Yasser
11 papers receiving 268 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 216
- Neurology 61
- Artificial Intelligence 99
- Health Informatics 4
- Mathematical Physics 23
Countries citing papers authored by Ibrahim Yasser
This map shows the geographic impact of Ibrahim Yasser'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 Ibrahim Yasser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ibrahim Yasser more than expected).
Fields of papers citing papers by Ibrahim Yasser
This network shows the impact of papers produced by Ibrahim Yasser. 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 Ibrahim Yasser. The network helps show where Ibrahim Yasser may publish in the future.
Co-authors
The 9 scholars most cited alongside Ibrahim Yasser, 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 | 2020 | 76 | |
| 2 | 2020 | 63 | |
| 3 | 2023 | 60 | |
| 4 | 2021 | 47 | |
| 5 | 2020 | 14 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2025 | 0 |
About Ibrahim Yasser
Ibrahim Yasser is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 280 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (4 papers), Chaos-based Image/Signal Encryption (4 papers), Cryptographic Implementations and Security (3 papers), IoT and Edge/Fog Computing (2 papers), COVID-19 diagnosis using AI (1 paper), Glaucoma and retinal disorders (1 paper), Coding theory and cryptography (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (216 citations), Neurology (61 citations), Artificial Intelligence (99 citations), Health Informatics (4 citations) and Mathematical Physics (23 citations). Ibrahim Yasser has collaborated with scholars based in Egypt, United Arab Emirates and United States. Frequent co-authors include Mohamed A. Mohamed, Fahmi Khalifa, Ahmed S. Samra, Hanan M. Amer, A. A. Salama, Ayman El‐Baz, Mohammed Ghazal, Harpal S. Sandhu and Huma Zia. Their work appears in journals such as Complexity, Sensors, IEEE Access, The Journal of Supercomputing and International Journal of Computer Network and Information Security.
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.