Shawkat K. Guirguis

859 total citations
48 papers, 480 citations indexed

About

Shawkat K. Guirguis is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shawkat K. Guirguis has authored 48 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shawkat K. Guirguis's work include Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (8 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Shawkat K. Guirguis is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (8 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Shawkat K. Guirguis collaborates with scholars based in Egypt, Iraq and Switzerland. Shawkat K. Guirguis's co-authors include Mahmoud A. Elsadd, Saad M. Darwish, Mohammed Elmogy, M. El-Raey, Sophie L. R. Hofstader, James W. Albers, Lynn From, James R. Nethercott, Joachim Warschat and Aliaa A. A. Youssif and has published in prestigious journals such as Scientific Reports, Journal of Neurology Neurosurgery & Psychiatry and IEEE Access.

In The Last Decade

Shawkat K. Guirguis

44 papers receiving 429 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shawkat K. Guirguis Egypt 12 210 161 92 87 85 48 480
Oussama El Gannour Morocco 16 282 1.3× 45 0.3× 55 0.6× 37 0.4× 154 1.8× 37 616
Bless Lord Y. Agbley China 12 174 0.8× 50 0.3× 41 0.4× 24 0.3× 64 0.8× 26 378
P. Varalakshmi India 12 256 1.2× 161 1.0× 216 2.3× 33 0.4× 129 1.5× 91 590
Song Yang China 12 104 0.5× 40 0.2× 148 1.6× 35 0.4× 52 0.6× 42 489
Atifa Athar Pakistan 12 189 0.9× 116 0.7× 76 0.8× 43 0.5× 50 0.6× 21 484
Saeid Pashazadeh Iran 13 83 0.4× 97 0.6× 87 0.9× 17 0.2× 53 0.6× 56 417
Fangzhou Guo China 10 81 0.4× 32 0.2× 22 0.2× 112 1.3× 198 2.3× 17 419
Abdulrhman M. Alshareef Saudi Arabia 11 138 0.7× 73 0.5× 77 0.8× 27 0.3× 55 0.6× 39 315
Guang-Tong Zhou China 8 320 1.5× 47 0.3× 46 0.5× 62 0.7× 173 2.0× 16 538
Muhammad Attique Khan Saudi Arabia 14 134 0.6× 75 0.5× 50 0.5× 20 0.2× 76 0.9× 76 492

Countries citing papers authored by Shawkat K. Guirguis

Since Specialization
Citations

This map shows the geographic impact of Shawkat K. Guirguis'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 Shawkat K. Guirguis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawkat K. Guirguis more than expected).

Fields of papers citing papers by Shawkat K. Guirguis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawkat K. Guirguis. 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 Shawkat K. Guirguis. The network helps show where Shawkat K. Guirguis may publish in the future.

Co-authorship network of co-authors of Shawkat K. Guirguis

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

All Works

20 of 20 papers shown
1.
Guirguis, Shawkat K., et al.. (2025). An optimized Arabic cyberbullying detection approach based on genetic algorithms. Scientific Reports. 15(1). 38479–38479.
2.
Guirguis, Shawkat K., et al.. (2025). Explainable artificial intelligence for botnet detection in internet of things. Scientific Reports. 15(1). 7632–7632. 4 indexed citations
3.
Guirguis, Shawkat K., et al.. (2025). Review of filtering based feature selection for Botnet detection in the Internet of Things. Artificial Intelligence Review. 58(4). 1 indexed citations
4.
Guirguis, Shawkat K., et al.. (2023). A Comparative Study of Using Boosting-Based Machine Learning Algorithms for IoT Network Intrusion Detection. International Journal of Computational Intelligence Systems. 16(1). 14 indexed citations
5.
Guirguis, Shawkat K., et al.. (2023). Evaluation of Tree-Based Machine Learning Algorithms for Network Intrusion Detection in the Internet of Things. IT Professional. 25(5). 45–56. 9 indexed citations
6.
Guirguis, Shawkat K., et al.. (2023). Deeper Understanding of Software Change. IT Professional. 25(2). 41–51.
7.
Guirguis, Shawkat K., et al.. (2023). A comparative analysis of using ensemble trees for botnet detection and classification in IoT. Scientific Reports. 13(1). 21632–21632. 10 indexed citations
8.
Guirguis, Shawkat K., et al.. (2022). Securing Data Transmission and Privacy Preserving Using Fully Homomorphic Encryption. International journal of intelligent engineering and systems. 16(1). 277–289. 4 indexed citations
9.
Guirguis, Shawkat K., et al.. (2022). Face detection based on skin color segmentation and eyes detection in the human face. AIP conference proceedings. 2386. 50002–50002. 2 indexed citations
10.
Guirguis, Shawkat K., et al.. (2022). Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text. Complex & Intelligent Systems. 8(6). 4897–4909. 26 indexed citations
11.
Guirguis, Shawkat K., et al.. (2021). On-Air Hand-Drawn Doodles for IoT Devices Authentication During COVID-19. IEEE Access. 9. 161723–161744. 10 indexed citations
12.
Youssif, Aliaa A. A., et al.. (2019). Single Image Super Resolution Model Using Learnable Weight Factor in Residual Skip Connection. IEEE Access. 7. 58676–58684. 2 indexed citations
13.
Guirguis, Shawkat K., et al.. (2018). Enhancing AES Algorithm with DNA Computing. 35–41. 2 indexed citations
14.
Guirguis, Shawkat K., et al.. (2018). A Survey on Cryptography Algorithms. International Journal of Scientific and Research Publications. 8(7). 79 indexed citations
15.
Guirguis, Shawkat K., et al.. (2017). Volumetric Medical Images Lossy Compression using Stationary Wavelet Transform and Linde-Buzo-Gray Vector Quantization. Research Journal of Applied Sciences Engineering and Technology. 14(9). 352–360. 1 indexed citations
16.
Guirguis, Shawkat K., et al.. (2017). A Hybrid Fuzzy Multi-hop Unequal Clustering Algorithm for Dense Wireless Sensor Networks. International Journal of Computational Intelligence Systems. 10(1). 951–951. 4 indexed citations
17.
Guirguis, Shawkat K., et al.. (2016). Image security using quantum Rivest-Shamir-Adleman cryptosystem algorithm and digital watermarking. 5. 3978–3982. 5 indexed citations
18.
Darwish, Saad M., et al.. (2013). Intrusion detection in role administrated database: Transaction-based approach. 16. 73–79. 5 indexed citations
19.
Guirguis, Shawkat K., et al.. (2011). Cloud computing based ETL technique using Warehouse Intermediate Agents. 301–306. 1 indexed citations
20.
Guirguis, Shawkat K.. (1997). Neurobehavioral Tests as a Medical Surveillance Procedure: Applying Evaluative Criteria. Environmental Research. 73(1-2). 63–69. 3 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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2026