Mohammed S. Sayed
Impact in
- Signal Processing top 5%
- Video Coding and Compression Technologies
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- Advanced Vision and Imaging
- Advanced Data Compression Techniques
- Advanced Image Processing Techniques
Papers in
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- Advanced Data Compression Techniques 27
- Advanced Vision and Imaging 26
- Image and Video Quality Assessment 8
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- Video Coding and Compression Technologies 41
- Co-authors
- Ahmed Shalaby (26 shared papers)Wael Badawy (21 shared papers)Mahmoud I. Abdalla (7 shared papers)Rania A. Elsayed (4 shared papers)Omar M. Saad (5 shared papers)Mohsen Rashwan (2 shared papers)Abdelhamied A. Ateya (3 shared papers)Ahmed A. Abd El‐Latif (1 shared paper)
In The Last Decade
Mohammed S. Sayed
95 papers receiving 842 citations
Peers
Comparison fields: 5 of 110
- Signal Processing 181
- Computer Vision and Pattern Recognition 325
- Industrial and Manufacturing Engineering 131
- Health Informatics 11
- Artificial Intelligence 183
Countries citing papers authored by Mohammed S. Sayed
This map shows the geographic impact of Mohammed S. Sayed'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 Mohammed S. Sayed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed S. Sayed more than expected).
Fields of papers citing papers by Mohammed S. Sayed
This network shows the impact of papers produced by Mohammed S. Sayed. 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 Mohammed S. Sayed. The network helps show where Mohammed S. Sayed may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammed S. Sayed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 96 | |
| 2 | 2020 | 61 | |
| 3 | 2016 | 45 | |
| 4 | 2024 | 30 | |
| 5 | 2018 | 28 | |
| 6 | 2023 | 27 | |
| 7 | 2018 | 27 | |
| 8 | 2022 | 26 | |
| 9 | 2014 | 25 | |
| 10 | 2016 | 21 | |
| 11 | 2014 | 20 | |
| 12 | 2019 | 20 | |
| 13 | 2019 | 19 | |
| 14 | 2018 | 18 | |
| 15 | 2013 | 17 | |
| 16 | 2018 | 15 | |
| 17 | 2016 | 15 | |
| 18 | 2016 | 15 | |
| 19 | 2003 | 14 | |
| 20 | 2019 | 14 |
About Mohammed S. Sayed
Mohammed S. Sayed is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Biomedical Engineering and Electrical and Electronic Engineering, having authored 102 papers that have together received 887 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (41 papers), Advanced Data Compression Techniques (27 papers), Advanced Vision and Imaging (26 papers), Image and Video Quality Assessment (8 papers), AI in cancer detection (8 papers), Wireless Body Area Networks (7 papers), Image Processing Techniques and Applications (7 papers) and Industrial Vision Systems and Defect Detection (7 papers). The work is most often cited by research in Signal Processing (181 citations), Computer Vision and Pattern Recognition (325 citations), Industrial and Manufacturing Engineering (131 citations), Health Informatics (11 citations) and Artificial Intelligence (183 citations). Mohammed S. Sayed has collaborated with scholars based in Egypt, Canada and Japan. Frequent co-authors include Ahmed Shalaby, Wael Badawy, Mahmoud I. Abdalla, Rania A. Elsayed, Omar M. Saad, Mohsen Rashwan, Abdelhamied A. Ateya, Ahmed A. Abd El‐Latif, Mohamed Hammad and Paweł Pławiak. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, IEEE Transactions on Circuits and Systems for Video Technology, Engineering Applications of Artificial Intelligence and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
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.