Mohamed Ragab

35 papers and 760 indexed citations i.

About

Mohamed Ragab is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Mohamed Ragab has authored 35 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Plant Science. Recurrent topics in Mohamed Ragab’s work include Anomaly Detection Techniques and Applications (9 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Machine Fault Diagnosis Techniques (5 papers). Mohamed Ragab is often cited by papers focused on Anomaly Detection Techniques and Applications (9 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Machine Fault Diagnosis Techniques (5 papers). Mohamed Ragab collaborates with scholars based in Singapore, Egypt and United States. Mohamed Ragab's co-authors include Xiaoli Li, Min Wu, Zhenghua Chen, Chee Keong Kwoh, Emadeldeen Eldele, Cuntai Guan, Ruqiang Yan, Chuan-Sheng Foo, Wenyu Zhang and R. M. R. Barakat and has published in prestigious journals such as Journal of the American Chemical Society, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Mohamed Ragab i

Fields of papers citing papers by Mohamed Ragab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Mohamed Ragab

Since Specialization
Citations

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).

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.

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2025