Mohamed Ragab
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Signal Processing top 5%
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Min WuZhenghua ChenXiaoli LiChee Keong KwohEmadeldeen EldeleCuntai GuanRuqiang YanChuan-Sheng Foo
- Topics
- Anomaly Detection Techniques and Applications (10 papers)Domain Adaptation and Few-Shot Learning (10 papers)Time Series Analysis and Forecasting (6 papers)
In The Last Decade
Mohamed Ragab
36 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 438
- Control and Systems Engineering 333
- Signal Processing 251
- Mechanical Engineering 157
- Computer Vision and Pattern Recognition 133
Countries citing papers authored by Mohamed Ragab
This map shows the geographic impact of Mohamed Ragab'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 Ragab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Ragab more than expected).
Fields of papers citing papers by Mohamed Ragab
This network shows the impact of papers produced by Mohamed Ragab. 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 Ragab. The network helps show where Mohamed Ragab may publish in the future.
Co-authorship network of co-authors of Mohamed Ragab
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Ragab. A scholar is included among the top collaborators of Mohamed Ragab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohamed Ragab. Mohamed Ragab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 37 | |
| 15 | 21 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 12 | |
| 19 | 26 | |
| 20 | A focus of human fascioliasis in the Nile Delta, Egypt. | 35 |
About Mohamed Ragab
Mohamed Ragab is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (10 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Time Series Analysis and Forecasting (6 papers). The work is most often cited by research in Signal Processing (251 citations), Control and Systems Engineering (333 citations) and Artificial Intelligence (438 citations). Mohamed Ragab has collaborated with scholars based in Singapore, Egypt and China. Frequent co-authors include Min Wu, Zhenghua Chen, Xiaoli Li, Chee Keong Kwoh, Emadeldeen Eldele, Cuntai Guan, Ruqiang Yan, Chuan-Sheng Foo, Wenyu Zhang and Moncef L. Nehdi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Transactions on Industrial 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.