Mahmoud Ragab

1.8k total citations
139 papers, 1.1k 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 139 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 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

128 papers receiving 1.0k citations

Peers

Mahmoud Ragab

RNMI

CNC

CVPR

Prajoy Podder Bangladesh

Atef Zaguia Saudi Arabia

Hani Alquhayz Saudi Arabia

Norah Saleh Alghamdi Saudi Arabia

Samir Elmougy Egypt

Diyar Qader Zeebaree Iraq

Parvathaneni Naga Srinivasu India

Dilovan Asaad Zebari Iraq

Madallah Alruwaili Saudi Arabia

M. Rubaiyat Hossain Mondal Bangladesh

Prajoy Podder Bangladesh

Mahmoud Ragab

463 ×1.0

298 ×1.2

RNMI

117 ×0.7

CNC

143 ×1.2

CVPR

97 ×1.0

Citations per year, relative to Mahmoud Ragab Mahmoud Ragab (= 1×) peers Prajoy Podder

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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20 of 20 papers shown

Alghamdi, Wajdi, et al.. (2025). Harnessing feature pruning with optimal deep learning-based distributed denial of service cyberattack detection on IoT environment. Alexandria Engineering Journal. 120. 584–597. 2 indexed citations

Alshareef, Abdulrhman M., Aisha Alsobhi, Alaa O. Khadidos, et al.. (2025). Automated detection of ChatGPT-generated text vs. human text using gannet-optimized deep learning. Alexandria Engineering Journal. 124. 495–512.

Sharaf, Sanaa, et al.. (2024). Advanced mathematical modeling of mitigating security threats in smart grids through deep ensemble model. Scientific Reports. 14(1). 23069–23069. 7 indexed citations

Katib, Iyad, et al.. (2024). Harnessing probabilistic neural network with triple tree seed algorithm-based smart enterprise quantitative risk management framework. Scientific Reports. 14(1). 22293–22293.

Ragab, Mahmoud, et al.. (2024). Type-2 fuzzy ontology with Dendritic Neural Network based semantic feature extraction for web content classification. Ain Shams Engineering Journal. 15(9). 102973–102973. 1 indexed citations

Fayoumi, Ayman G., et al.. (2024). Enhancing Resilience in Next-Generation Wireless Networks Through Deep Learning for Security Enhancement. IEEE Transactions on Consumer Electronics. 70(3). 6284–6292. 1 indexed citations

Salama, Reda S. & Mahmoud Ragab. (2023). Blockchain with Explainable Artificial Intelligence Driven Intrusion Detection for Clustered IoT Driven Ubiquitous Computing System. Computer Systems Science and Engineering. 46(3). 2917–2932. 5 indexed citations

Ragab, Mahmoud, et al.. (2023). Internet of Things Assisted Solid Biofuel Classification Using Sailfish Optimizer Hybrid Deep Learning Model for Smart Cities. Sustainability. 15(16). 12523–12523.

Alghamdi, Abdullah, et al.. (2023). Machine Learning-Based DoS Amplification Attack Detection against Constrained Application Protocol. Applied Sciences. 13(13). 7391–7391. 1 indexed citations

10.

Ragab, Mahmoud, et al.. (2023). Modified Metaheuristics with Weighted Majority Voting Ensemble Deep Learning Model for Intrusion Detection System. Computer Systems Science and Engineering. 47(2). 2497–2512. 8 indexed citations

11.

Bahaddad, Adel A., et al.. (2022). Metaheuristics with Deep Learning-Enabled Parkinson’s Disease Diagnosis and Classification Model. Journal of Healthcare Engineering. 2022. 1–14. 14 indexed citations

12.

Ragab, Mahmoud. (2022). Spider Monkey Optimization with Statistical Analysis for Robust Rainfall Prediction. Computers, materials & continua/Computers, materials & continua (Print). 72(2). 4143–4155. 5 indexed citations

13.

Fakieh, Bahjat, Abdullah Alghamdi, & Mahmoud Ragab. (2022). The Effect of Utilizing Business Model Canvas on the Satisfaction of Operating Electronic Business. Complexity. 2022(1). 9 indexed citations

14.

Ragab, Mahmoud & Abdullah Addas. (2022). Low Complexity Encoder with Multilabel Classification and Image Captioning燤odel. Computers, materials & continua/Computers, materials & continua (Print). 72(3). 4323–4337. 2 indexed citations

15.

Ragab, Mahmoud & Jaber Alyami. (2022). Stacked Gated Recurrent Unit Classifier with CT Images for Liver Cancer Classification. Computer Systems Science and Engineering. 44(3). 2309–2322. 5 indexed citations

16.

Alghamdi, Abdullah, et al.. (2022). Optimized Artificial Neural Network Techniques to Improve Cybersecurity of Higher Education Institution. Computers, materials & continua/Computers, materials & continua (Print). 72(2). 3385–3399. 7 indexed citations

17.

Ragab, Mahmoud & Ashwag Albukhari. (2022). Automated Artificial Intelligence Empowered Colorectal Cancer Detection and Classification Model. Computers, materials & continua/Computers, materials & continua (Print). 72(3). 5577–5591. 4 indexed citations

18.

Alghamdi, Abdullah, et al.. (2022). Enhanced Artificial Intelligence-based Cybersecurity Intrusion Detection for Higher Education Institutions. Computers, materials & continua/Computers, materials & continua (Print). 72(2). 2895–2907. 5 indexed citations

19.

Ragab, Mahmoud, Khalid Eljaaly, Nabil A. Alhakamy, et al.. (2021). Deep Ensemble Model for COVID-19 Diagnosis and Classification Using Chest CT Images. Biology. 11(1). 43–43. 18 indexed citations

20.

Algarni, Ali, et al.. (2021). Towards Improving Predictive Statistical Learning Model Accuracy by Enhancing Learning Technique. Computer Systems Science and Engineering. 42(1). 303–318. 5 indexed citations

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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