Mahmoud Ragab

174 total papers · 1.8k total citations
138 papers, 1.0k citations indexed

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 138 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 35 papers in Computer Networks and Communications and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mahmoud Ragab's work include Network Security and Intrusion Detection (22 papers), AI in cancer detection (18 papers) and COVID-19 diagnosis using AI (14 papers). Mahmoud Ragab is often cited by papers focused on Network Security and Intrusion Detection (22 papers), AI in cancer detection (18 papers) and COVID-19 diagnosis using AI (14 papers). Mahmoud Ragab collaborates with scholars based in Saudi Arabia, Egypt and India. Mahmoud Ragab's co-authors include Abdullah Alghamdi, Romany F. Mansour, Jaber Alyami, Ashwag Albukhari, Iyad Katib, Rasha A. Mansouri, Ahmed E. Abouelregal, S. M. Abo‐Dahab, Hoda Fahmy Farag and Bahjat Fakieh and has published in prestigious journals such as Scientific Reports, IEEE Access and Energy.

In The Last Decade

Mahmoud Ragab

126 papers receiving 983 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mahmoud Ragab 449 246 163 123 96 138 1.0k
Omar Bouattane 340 0.8× 191 0.8× 138 0.8× 189 1.5× 120 1.3× 152 1.0k
Prajoy Podder 454 1.0× 293 1.2× 116 0.7× 139 1.1× 96 1.0× 53 1.2k
Zhiqiong Wang 541 1.2× 232 0.9× 89 0.5× 180 1.5× 111 1.2× 66 1.2k
Akansha Singh 275 0.6× 182 0.7× 273 1.7× 262 2.1× 126 1.3× 104 1.2k
Abdullah Alqahtani 306 0.7× 163 0.7× 116 0.7× 236 1.9× 87 0.9× 96 923
Shakir Khan 448 1.0× 195 0.8× 86 0.5× 244 2.0× 166 1.7× 81 1.2k
Sunil Aryal 464 1.0× 134 0.5× 111 0.7× 254 2.1× 47 0.5× 67 1.1k
H. Khanna Nehemiah 416 0.9× 192 0.8× 121 0.7× 136 1.1× 80 0.8× 52 943
V. Vinoth Kumar 424 0.9× 188 0.8× 159 1.0× 130 1.1× 110 1.1× 75 1.1k
Ashit Kumar Dutta 290 0.6× 107 0.4× 157 1.0× 170 1.4× 121 1.3× 158 1.0k

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).

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.

Co-authorship network of co-authors of Mahmoud Ragab

This figure shows the co-authorship network connecting the top 25 collaborators of Mahmoud Ragab. A scholar is included among the top collaborators of Mahmoud 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 Mahmoud Ragab. Mahmoud Ragab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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