Magdy Bayoumi

10.6k total citations · 1 hit paper
595 papers, 7.0k citations indexed

About

Magdy Bayoumi is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Magdy Bayoumi has authored 595 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 280 papers in Electrical and Electronic Engineering, 172 papers in Computer Vision and Pattern Recognition and 139 papers in Signal Processing. Recurrent topics in Magdy Bayoumi's work include Low-power high-performance VLSI design (108 papers), Video Coding and Compression Technologies (72 papers) and Advanced Data Compression Techniques (71 papers). Magdy Bayoumi is often cited by papers focused on Low-power high-performance VLSI design (108 papers), Video Coding and Compression Technologies (72 papers) and Advanced Data Compression Techniques (71 papers). Magdy Bayoumi collaborates with scholars based in United States, Egypt and Canada. Magdy Bayoumi's co-authors include A.M. Shams, Hisham Daoud, T. Darwish, Kasem Khalil, Ahmed Abdelhameed, Sumeer Goel, Mohamed El‐Gamel, Ashok Kumar, Ashok Kumar and Omar Eldash and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Image Processing.

In The Last Decade

Magdy Bayoumi

521 papers receiving 6.4k citations

Hit Papers

Efficient Epileptic Seizure Prediction Based on Deep Lear... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Efficient Epileptic Seizure Prediction Based on Deep Learning
    2019 318 citations Magdy Bayoumi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Magdy Bayoumi United States 39 3.5k 1.5k 1.3k 1.2k 1.1k 595 7.0k
Huazhong Yang China 48 7.1k 2.0× 2.9k 1.9× 315 0.2× 1.5k 1.3× 992 0.9× 619 10.5k
Muhammad Shafique Germany 42 4.1k 1.2× 1.2k 0.8× 870 0.7× 2.2k 1.8× 354 0.3× 448 7.3k
Philip H. W. Leong Australia 35 1.7k 0.5× 726 0.5× 296 0.2× 496 0.4× 462 0.4× 227 4.0k
Vivienne Sze United States 30 4.6k 1.3× 4.7k 3.2× 1.2k 0.9× 1.0k 0.8× 299 0.3× 92 9.1k
Chaitali Chakrabarti United States 36 2.4k 0.7× 1.3k 0.9× 846 0.7× 1.6k 1.3× 318 0.3× 287 5.1k
Francky Catthoor Belgium 46 5.5k 1.6× 746 0.5× 635 0.5× 4.9k 4.1× 513 0.5× 892 11.3k
Emil M. Petriu Canada 46 1.2k 0.3× 1.8k 1.2× 210 0.2× 826 0.7× 938 0.8× 508 8.2k
Leibo Liu China 35 2.9k 0.8× 1.4k 1.0× 373 0.3× 1.3k 1.0× 346 0.3× 399 5.4k
George Vachtsevanos United States 43 1.2k 0.3× 732 0.5× 620 0.5× 602 0.5× 403 0.4× 321 8.7k
Sergio Saponara Italy 36 2.1k 0.6× 1.1k 0.7× 554 0.4× 855 0.7× 451 0.4× 335 4.8k

Countries citing papers authored by Magdy Bayoumi

Since Specialization
Citations

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

Fields of papers citing papers by Magdy Bayoumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magdy Bayoumi

This figure shows the co-authorship network connecting the top 25 collaborators of Magdy Bayoumi. A scholar is included among the top collaborators of Magdy Bayoumi 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 Magdy Bayoumi. Magdy Bayoumi 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.
Khalil, Kasem, et al.. (2025). Lightweight Hardware Security and Physically Unclonable Functions. 2 indexed citations
2.
3.
Khalil, Kasem, et al.. (2024). Efficient Hardware Implementation of Artificial Neural Networks on FPGA. 233–237. 3 indexed citations
4.
5.
Bayoumi, Magdy, et al.. (2024). Video quality adaptation using CNN and RNN models for cost-effective and scalable video streaming Services. Cluster Computing. 27(5). 6355–6375. 3 indexed citations
6.
Khalil, Kasem, Bappaditya Dey, & Magdy Bayoumi. (2024). S²RNN: Self-Supervised Reconfigurable Neural Network Hardware Accelerator for Machine Learning Applications. IEEE Internet of Things Journal. 12(6). 6708–6720. 1 indexed citations
7.
Eldash, Omar, et al.. (2023). An Optimized Object Detection Algorithm for Unmanned Aerial Vehicles (UAVs). 8. 1–7. 1 indexed citations
8.
ElSayed, Zag, Zag ElSayed, Chengcheng Li, & Magdy Bayoumi. (2022). Autonomous Low Power IoT System Architecture for Cybersecurity Monitoring. 1–5. 1 indexed citations
9.
Dey, Bappaditya, et al.. (2022). Deep learning-based defect classification and detection in SEM images. arXiv (Cornell University). 83–83. 16 indexed citations
10.
Dey, Bappaditya, Sandip Halder, Kasem Khalil, et al.. (2021). SEM image denoising with unsupervised machine learning for better defect inspection and metrology. 33–33. 16 indexed citations
11.
Khalil, Kasem, Omar Eldash, Bappaditya Dey, Ashok Kumar, & Magdy Bayoumi. (2019). A Novel Reconfigurable Hardware Architecture of Neural Network. 618–621. 11 indexed citations
12.
Williams, Phillip, et al.. (2019). Security Taxonomy in IoT – A Survey. 560–565. 15 indexed citations
13.
Bayoumi, Magdy, et al.. (2018). Probabilistic Analysis of Power-Gating in Network-on-Chip Routers. IEEE Transactions on Circuits & Systems II Express Briefs. 66(2). 242–246. 2 indexed citations
14.
Li, Xiangbo, Mohsen Amini Salehi, & Magdy Bayoumi. (2016). VLSC: Video Live Streaming Using Cloud Services. 595–600. 21 indexed citations
15.
Bayoumi, Magdy, et al.. (2007). Multisensor Data Fusion Schemes for Wireless Sensor Networks. 136–141. 1 indexed citations
16.
Abdelgawad, Ahmed, et al.. (2007). Remote Measuring of Flow Meters for Petroleum Engineering and Other Industrial Applications. 99–103. 6 indexed citations
17.
Rao, P. Krishna & Magdy Bayoumi. (2002). An efficient VLSI implementation of real-time Kalman filter. 2353–2356. 8 indexed citations
18.
Bayoumi, Magdy & Gert Cauwenberghs. (1999). Learning on Silicon: Adaptive VLSI Neural Systems. Kluwer Academic Publishers eBooks. 46 indexed citations
19.
Srinivasan, Padmini, et al.. (1994). Hierarchical Time-Extended Petri Nets (H-EPNs) for Integrated Control and Diagnostics of Multilevel Systems. 3 indexed citations
20.
Hu, Chenyi, Magdy Bayoumi, R. Baker Kearfott, & Qing Yang. (1991). A Parallelized Algorithm for the All-Row Preconditioned Interval Newton/Generalized Bisection Method. 205–209. 4 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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