Mohammed S. Sayed

146 total papers · 1.3k total citations
101 papers, 843 citations indexed

About

Mohammed S. Sayed is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Mohammed S. Sayed has authored 101 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 41 papers in Signal Processing and 16 papers in Biomedical Engineering. Recurrent topics in Mohammed S. Sayed's work include Video Coding and Compression Technologies (41 papers), Advanced Data Compression Techniques (27 papers) and Advanced Vision and Imaging (26 papers). Mohammed S. Sayed is often cited by papers focused on Video Coding and Compression Technologies (41 papers), Advanced Data Compression Techniques (27 papers) and Advanced Vision and Imaging (26 papers). Mohammed S. Sayed collaborates with scholars based in Egypt, Canada and Japan. Mohammed S. Sayed's co-authors include Ahmed Shalaby, Wael Badawy, Mahmoud I. Abdalla, Mohsen Rashwan, Omar M. Saad, Rania A. Elsayed, Abdelhamied A. Ateya, Paweł Pławiak, Ahmed A. Abd El‐Latif and Mohamed Hammad and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Mohammed S. Sayed

93 papers receiving 790 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mohammed S. Sayed 327 180 179 126 114 101 843
James R. Hopgood 147 0.4× 307 1.7× 184 1.0× 28 0.2× 81 0.7× 91 779
Evangelos Dermatas 454 1.4× 182 1.0× 411 2.3× 29 0.2× 32 0.3× 72 991
Ibrahim Elhenawy 198 0.6× 77 0.4× 257 1.4× 77 0.6× 61 0.5× 95 743
Jucheng Yang 407 1.2× 364 2.0× 178 1.0× 16 0.1× 46 0.4× 81 1.1k
Susanta Mukhopadhyay 615 1.9× 81 0.5× 99 0.6× 24 0.2× 46 0.4× 88 1.0k
Yaqin Zhao 268 0.8× 41 0.2× 179 1.0× 39 0.3× 120 1.1× 93 1.0k
Zhengguang Xu 367 1.1× 103 0.6× 101 0.6× 42 0.3× 29 0.3× 58 824
Lin Qi 457 1.4× 148 0.8× 162 0.9× 13 0.1× 111 1.0× 116 813
Khalid Saeed 341 1.0× 239 1.3× 180 1.0× 26 0.2× 77 0.7× 98 880
Jian Zhao 353 1.1× 36 0.2× 121 0.7× 16 0.1× 46 0.4× 132 778

Countries citing papers authored by Mohammed S. Sayed

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mohammed S. Sayed

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

All Works

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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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