El-Sayed Atlam
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Artificial Intelligence in Healthcare
Papers in
-
- Natural Language Processing Techniques 20
- Topic Modeling 11
- Advanced Text Analysis Techniques 11
- Text and Document Classification Technologies 9
- Semantic Web and Ontologies 7
- Algorithms and Data Compression 6
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- Web Data Mining and Analysis 8
- Co-authors
- Ibrahim Gad (23 shared papers)Ashraf A. Ewis (6 shared papers)Jun‐ichi Aoe (21 shared papers)Abdulqader M. Almars (14 shared papers)Osama A. Ghoneim (4 shared papers)Amer Malki (4 shared papers)Masao Fuketa (17 shared papers)Zohair Malki (6 shared papers)
- Journals
- Alexandria Engineering Journal (10 papers)Information Processing & Management (9 papers)International Journal of Information Technology & Decision Making (2 papers)Electronics (2 papers)Computing (1 paper)
- Partner nations
- Saudi ArabiaEgyptJapan
In The Last Decade
El-Sayed Atlam
67 papers receiving 975 citations
Peers
Comparison fields: 5 of 123
- Modeling and Simulation 90
- Health Information Management 61
- Artificial Intelligence 461
- Health Informatics 12
- Information Systems 186
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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 95 | |
| 2 | 2023 | 78 | |
| 3 | 2021 | 65 | |
| 4 | 2020 | 61 | |
| 5 | 2021 | 55 | |
| 6 | 2007 | 49 | |
| 7 | 2022 | 46 | |
| 8 | 2024 | 45 | |
| 9 | 2003 | 35 | |
| 10 | 2023 | 34 | |
| 11 | 2024 | 34 | |
| 12 | 2020 | 25 | |
| 13 | 2022 | 21 | |
| 14 | 2002 | 20 | |
| 15 | 2021 | 20 | |
| 16 | 2003 | 19 | |
| 17 | 2005 | 19 | |
| 18 | 2024 | 18 | |
| 19 | 2025 | 17 | |
| 20 | 2022 | 15 |
About El-Sayed Atlam
El-Sayed Atlam is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Modeling and Simulation and Computer Vision and Pattern Recognition, having authored 79 papers that have together received 1.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (20 papers), Topic Modeling (11 papers), Advanced Text Analysis Techniques (11 papers), Text and Document Classification Technologies (9 papers), Web Data Mining and Analysis (8 papers), Semantic Web and Ontologies (7 papers), Algorithms and Data Compression (6 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Modeling and Simulation (90 citations), Health Information Management (61 citations), Artificial Intelligence (461 citations), Health Informatics (12 citations) and Information Systems (186 citations). El-Sayed Atlam has collaborated with scholars based in Saudi Arabia, Egypt and Japan. Frequent co-authors include Ibrahim Gad, Ashraf A. Ewis, Jun‐ichi Aoe, Abdulqader M. Almars, Osama A. Ghoneim, Amer Malki, Masao Fuketa, Zohair Malki, Guesh Dagnew and Ahmad Reda Alzighaibi. Their work appears in journals such as Alexandria Engineering Journal, Information Processing & Management, International Journal of Information Technology & Decision Making, Electronics and Computing.
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.