Mahmoud Ragab

120 papers and 711 indexed citations i.

About

Mahmoud Ragab is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mahmoud Ragab has authored 120 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 31 papers in Computer Networks and Communications and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mahmoud Ragab’s work include Network Security and Intrusion Detection (21 papers), AI in cancer detection (18 papers) and Anomaly Detection Techniques and Applications (14 papers). Mahmoud Ragab is often cited by papers focused on Network Security and Intrusion Detection (21 papers), AI in cancer detection (18 papers) and Anomaly Detection Techniques and Applications (14 papers). Mahmoud Ragab collaborates with scholars based in Saudi Arabia, Egypt and India. Mahmoud Ragab's co-authors include Romany F. Mansour, Abdullah Alghamdi, Jaber Alyami, Ashwag Albukhari, Iyad Katib, Rasha A. Mansouri, Ahmed E. Abouelregal, S. M. Abo‐Dahab, Hoda Fahmy Farag and A. A. Kilany and has published in prestigious journals such as Scientific Reports, The Journal of Pediatrics and Energy.

In The Last Decade

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

Fields of papers citing papers by Mahmoud Ragab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahmoud 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 Mahmoud Ragab. The network helps show where Mahmoud Ragab may publish in the future.

Countries citing papers authored by Mahmoud Ragab

Since Specialization
Citations

This map shows the geographic impact of Mahmoud 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 Mahmoud Ragab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahmoud 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