Amr E. Eldin Rashed
Impact in
- Artificial Intelligence top 10%
- AI in cancer detection
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- Brain Tumor Detection and Classification
Papers in
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- AI in cancer detection 4
- Anomaly Detection Techniques and Applications 2
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- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 2
- Co-authors
- Mehedi Masud (2 shared papers)M. Shamim Hossain (2 shared papers)Sherif S. M. Ghoneim (2 shared papers)El‐Sayed M. El‐kenawy (1 shared paper)Abdelhameed Ibrahim (1 shared paper)Hossam El-Din Moustafa (2 shared papers)Omar Cheikhrouhou (1 shared paper)Hesham Alhumyani (1 shared paper)
- Journals
- Biomedical Signal Processing and Control (3 papers)IEEE Access (2 papers)Arabian Journal for Science and Engineering (1 paper)Computers & Electrical Engineering (1 paper)ACM Transactions on Internet Technology (1 paper)
- Partner nations
- Saudi ArabiaEgyptTaiwan
In The Last Decade
Amr E. Eldin Rashed
13 papers receiving 289 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 194
- Neurology 50
- Radiology, Nuclear Medicine and Imaging 109
- Health Information Management 18
- Health Informatics 4
Countries citing papers authored by Amr E. Eldin Rashed
This map shows the geographic impact of Amr E. Eldin Rashed'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 E. Eldin Rashed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amr E. Eldin Rashed more than expected).
Fields of papers citing papers by Amr E. Eldin Rashed
This network shows the impact of papers produced by Amr E. Eldin Rashed. 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 E. Eldin Rashed. The network helps show where Amr E. Eldin Rashed may publish in the future.
Co-authors
The 19 scholars most cited alongside Amr E. Eldin Rashed, 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 | 118 | |
| 2 | 2021 | 58 | |
| 3 | 2021 | 55 | |
| 4 | 2023 | 19 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 13 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2024 | 2 | |
| 13 | DCT vs. DWT Based License Plate Detection | 2014 | 1 |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 |
About Amr E. Eldin Rashed
Amr E. Eldin Rashed is a scholar working on Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Civil and Structural Engineering and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 314 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Machine Learning in Bioinformatics (2 papers), COVID-19 diagnosis using AI (2 papers), Genomics and Phylogenetic Studies (2 papers), Infrastructure Maintenance and Monitoring (2 papers), Music and Audio Processing (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (194 citations), Neurology (50 citations), Radiology, Nuclear Medicine and Imaging (109 citations), Health Information Management (18 citations) and Health Informatics (4 citations). Amr E. Eldin Rashed has collaborated with scholars based in Saudi Arabia, Egypt and Taiwan. Frequent co-authors include Mehedi Masud, M. Shamim Hossain, Sherif S. M. Ghoneim, El‐Sayed M. El‐kenawy, Abdelhameed Ibrahim, Hossam El-Din Moustafa, Omar Cheikhrouhou, Hesham Alhumyani, Ghulam Muhammad and Nagy I. Elkalashy. Their work appears in journals such as Biomedical Signal Processing and Control, IEEE Access, Arabian Journal for Science and Engineering, Computers & Electrical Engineering and ACM Transactions on Internet Technology.
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.