Magdy Bayoumi
- Electrical and Electronic Engineering top 1%
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 0.5%
- Computer Networks and Communications top 1%
- Biomedical Engineering top 2%
- Co-authors
- A.M. ShamsHisham DaoudT. DarwishKasem KhalilAhmed AbdelhameedSumeer GoelMohamed El‐GamelAshok Kumar
- Topics
- Low-power high-performance VLSI design (108 papers)Video Coding and Compression Technologies (72 papers)Advanced Data Compression Techniques (71 papers)
- Journals
- SHILAP Revista de lepidopterologíaProceedings of the IEEEIEEE Transactions on Image Processing
- Partner nations
- United StatesEgyptCanada
In The Last Decade
Magdy Bayoumi
521 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Electrical and Electronic Engineering 3.5k
- Computer Vision and Pattern Recognition 1.5k
- Signal Processing 1.3k
- Computer Networks and Communications 1.2k
- Biomedical Engineering 1.1k
Countries citing papers authored by Magdy Bayoumi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 16 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | Multisensor Data Fusion Schemes for Wireless Sensor Networks | 1 |
| 16 | Remote Measuring of Flow Meters for Petroleum Engineering and Other Industrial Applications | 6 |
| 17 | Learning on Silicon: Adaptive VLSI Neural Systems | 46 |
| 18 | A Parallelized Algorithm for the All-Row Preconditioned Interval Newton/Generalized Bisection Method | 4 |
| 19 | Formal Synthesis of a Parallel Architectures from Recursive Equations. | 0 |
| 20 | Models for VLSI implementation of residue number system arithmetic modules | 1 |
About Magdy Bayoumi
Magdy Bayoumi is a scholar working on Hardware and Architecture, Signal Processing and Computer Vision and Pattern Recognition, having authored 595 papers that have together received 7.0k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (108 papers), Video Coding and Compression Technologies (72 papers) and Advanced Data Compression Techniques (71 papers). The work is most often cited by research in Hardware and Architecture (1.1k citations), Signal Processing (1.3k citations) and Computer Vision and Pattern Recognition (1.5k citations). Magdy Bayoumi has collaborated with scholars based in United States, Egypt and Canada. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Image Processing.
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.