Magdy Bayoumi

240 papers and 3.0k indexed citations i.

About

Magdy Bayoumi is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Magdy Bayoumi has authored 240 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Electrical and Electronic Engineering, 62 papers in Computer Vision and Pattern Recognition and 57 papers in Computer Networks and Communications. Recurrent topics in Magdy Bayoumi’s work include Low-power high-performance VLSI design (45 papers), Video Coding and Compression Technologies (27 papers) and Advanced Memory and Neural Computing (24 papers). Magdy Bayoumi is often cited by papers focused on Low-power high-performance VLSI design (45 papers), Video Coding and Compression Technologies (27 papers) and Advanced Memory and Neural Computing (24 papers). Magdy Bayoumi collaborates with scholars based in United States, Egypt and Canada. Magdy Bayoumi's co-authors include Hisham Daoud, A.M. Shams, Ahmed Abdelhameed, T. Darwish, Kasem Khalil, Sumeer Goel, Ashok Kumar, Ashok Kumar, Omar Eldash and Mohamed El‐Gamel and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Magdy Bayoumi i

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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.

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).

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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