El-Sayed Atlam
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- Anomaly Detection Techniques and Applications 4
- Natural Language Processing Techniques 3
- Algorithms and Data Compression 2
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- Network Security and Intrusion Detection 5
- Co-authors
- Ibrahim Gad (11 shared papers)Abdulqader M. Almars (9 shared papers)Ashraf A. Ewis (2 shared papers)Amer Malki (1 shared paper)Nadiah A. Baghdadi (1 shared paper)Sally Mohammed Farghaly Abdelaliem (1 shared paper)Jun‐ichi Aoe (4 shared papers)Talal H. Noor (2 shared papers)
- Journals
- Alexandria Engineering Journal (5 papers)Information Processing & Management (3 papers)Electronics (2 papers)Environmental Science and Pollution Research (1 paper)Informatics (1 paper)
- Partner nations
- Saudi ArabiaEgyptJapan
In The Last Decade
El-Sayed Atlam
22 papers receiving 318 citations
Peers
Comparison fields: 5 of 75
- Health Information Management 44
- Health Informatics 10
- Modeling and Simulation 30
- Artificial Intelligence 158
- Signal Processing 27
Countries citing papers authored by El-Sayed Atlam
This map shows the geographic impact of El-Sayed Atlam'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 El-Sayed Atlam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites El-Sayed Atlam more than expected).
Fields of papers citing papers by El-Sayed Atlam
This network shows the impact of papers produced by El-Sayed Atlam. 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 El-Sayed Atlam. The network helps show where El-Sayed Atlam may publish in the future.
Co-authors
The 25 scholars most cited alongside El-Sayed Atlam, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 66 | |
| 2 | 2021 | 50 | |
| 3 | 2024 | 37 | |
| 4 | 2023 | 31 | |
| 5 | 2002 | 20 | |
| 6 | 2022 | 17 | |
| 7 | 2024 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2007 | 12 | |
| 10 | 2024 | 10 | |
| 11 | 2025 | 10 | |
| 12 | 2025 | 8 | |
| 13 | 2024 | 8 | |
| 14 | 2005 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2025 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2009 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2022 | 2 |
About El-Sayed Atlam
El-Sayed Atlam is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 331 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (5 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Malware Detection Techniques (4 papers), Natural Language Processing Techniques (3 papers), COVID-19 diagnosis using AI (3 papers), Algorithms and Data Compression (2 papers), Advanced Neural Network Applications (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Information Management (44 citations), Health Informatics (10 citations), Modeling and Simulation (30 citations), Artificial Intelligence (158 citations) and Signal Processing (27 citations). El-Sayed Atlam has collaborated with scholars based in Saudi Arabia, Egypt and Japan. Frequent co-authors include Ibrahim Gad, Abdulqader M. Almars, Ashraf A. Ewis, Amer Malki, Nadiah A. Baghdadi, Sally Mohammed Farghaly Abdelaliem, Jun‐ichi Aoe, Talal H. Noor, Mohamed M. Abdel‐Daim and Manjaiah D. Huchaiah. Their work appears in journals such as Alexandria Engineering Journal, Information Processing & Management, Electronics, Environmental Science and Pollution Research and Informatics.
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.