Mohamed Hamada
Impact in
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- Online Learning and Analytics
- Computational Mathematics top 10%
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 7
- Algorithms and Data Compression 7
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- Advanced Data Compression Techniques 11
- Image Retrieval and Classification Techniques 8
- Co-authors
- Mohammed Hassan (30 shared papers)Md. Atiqur Rahman (12 shared papers)Mohamed G. Hassan (1 shared paper)Farouq Aliyu (2 shared papers)Jungpil Shin (1 shared paper)Md. Imtaiyaz Hassan (3 shared papers)Nkiruka Odu (2 shared papers)Anand Mahendran (4 shared papers)
In The Last Decade
Mohamed Hamada
91 papers receiving 825 citations
Peers
Comparison fields: 5 of 116
- Computer Science Applications 119
- Computational Mathematics 9
- Health Information Management 66
- Computer Vision and Pattern Recognition 248
- Information Systems 264
Countries citing papers authored by Mohamed Hamada
This map shows the geographic impact of Mohamed Hamada'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 Mohamed Hamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Hamada more than expected).
Fields of papers citing papers by Mohamed Hamada
This network shows the impact of papers produced by Mohamed Hamada. 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 Mohamed Hamada. The network helps show where Mohamed Hamada may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohamed Hamada, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 69 | |
| 2 | 2017 | 52 | |
| 3 | 2019 | 49 | |
| 4 | 2022 | 40 | |
| 5 | 2016 | 38 | |
| 6 | 2017 | 32 | |
| 7 | 2018 | 27 | |
| 8 | 2021 | 25 | |
| 9 | 2008 | 25 | |
| 10 | 2017 | 22 | |
| 11 | 2016 | 19 | |
| 12 | 2020 | 19 | |
| 13 | 2017 | 19 | |
| 14 | 2022 | 18 | |
| 15 | 2007 | 17 | |
| 16 | 2021 | 16 | |
| 17 | 2017 | 16 | |
| 18 | 2022 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2016 | 15 |
About Mohamed Hamada
Mohamed Hamada is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Science Applications and Developmental and Educational Psychology, having authored 100 papers that have together received 878 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (16 papers), Advanced Data Compression Techniques (11 papers), Learning Styles and Cognitive Differences (9 papers), Online Learning and Analytics (9 papers), Image Retrieval and Classification Techniques (8 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers), Algorithms and Data Compression (7 papers) and Open Education and E-Learning (7 papers). The work is most often cited by research in Computer Science Applications (119 citations), Computational Mathematics (9 citations), Health Information Management (66 citations), Computer Vision and Pattern Recognition (248 citations) and Information Systems (264 citations). Mohamed Hamada has collaborated with scholars based in Japan, Nigeria and Egypt. Frequent co-authors include Mohammed Hassan, Md. Atiqur Rahman, Mohamed G. Hassan, Farouq Aliyu, Jungpil Shin, Md. Imtaiyaz Hassan, Nkiruka Odu, Anand Mahendran, Hazem M. El‐Bakry and Yutaka Watanobe. Their work appears in journals such as Electronics, IEEE Access, Symmetry, Applied Sciences and Scientific Reports.
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.