Mohamed Hamada
Impact in
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- Online Learning and Analytics
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- Artificial Intelligence in Healthcare
Papers in
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- Algorithms and Data Compression 7
- Intelligent Tutoring Systems and Adaptive Learning 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)Jungpil Shin (1 shared paper)Farouq Aliyu (2 shared papers)Md. Imtaiyaz Hassan (3 shared papers)Anand Mahendran (4 shared papers)Nkiruka Odu (1 shared paper)
In The Last Decade
Mohamed Hamada
94 papers receiving 854 citations
Peers
Comparison fields: 5 of 115
- Computer Science Applications 121
- Health Information Management 66
- Computational Mathematics 9
- Computer Vision and Pattern Recognition 254
- Information Systems 267
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 | 73 | |
| 2 | 2019 | 53 | |
| 3 | 2017 | 53 | |
| 4 | 2022 | 41 | |
| 5 | 2016 | 38 | |
| 6 | 2017 | 32 | |
| 7 | 2018 | 27 | |
| 8 | 2021 | 25 | |
| 9 | 2008 | 25 | |
| 10 | 2017 | 22 | |
| 11 | 2020 | 19 | |
| 12 | 2022 | 19 | |
| 13 | 2016 | 19 | |
| 14 | 2017 | 19 | |
| 15 | 2022 | 17 | |
| 16 | 2021 | 17 | |
| 17 | 2021 | 17 | |
| 18 | 2007 | 17 | |
| 19 | 2017 | 16 | |
| 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 908 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (16 papers), Advanced Data Compression Techniques (11 papers), Online Learning and Analytics (9 papers), Learning Styles and Cognitive Differences (9 papers), Image Retrieval and Classification Techniques (8 papers), Open Education and E-Learning (7 papers), Algorithms and Data Compression (7 papers) and Intelligent Tutoring Systems and Adaptive Learning (7 papers). The work is most often cited by research in Computer Science Applications (121 citations), Health Information Management (66 citations), Computational Mathematics (9 citations), Computer Vision and Pattern Recognition (254 citations) and Information Systems (267 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, Jungpil Shin, Farouq Aliyu, Md. Imtaiyaz Hassan, Anand Mahendran, Nkiruka Odu, Hazem M. El‐Bakry and Rajesh Prasad. Their work appears in journals such as Applied Sciences, Electronics, IEEE Access, Symmetry 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.