Mhamed Sayyouri

76 papers and 1.3k indexed citations i.

About

Mhamed Sayyouri is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Mhamed Sayyouri has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 13 papers in Artificial Intelligence. Recurrent topics in Mhamed Sayyouri’s work include Image Retrieval and Classification Techniques (31 papers), Chaos-based Image/Signal Encryption (24 papers) and Advanced Steganography and Watermarking Techniques (22 papers). Mhamed Sayyouri is often cited by papers focused on Image Retrieval and Classification Techniques (31 papers), Chaos-based Image/Signal Encryption (24 papers) and Advanced Steganography and Watermarking Techniques (22 papers). Mhamed Sayyouri collaborates with scholars based in Morocco, Saudi Arabia and Egypt. Mhamed Sayyouri's co-authors include Hassan Qjidaa, Hicham Karmouni, Achraf Daoui, Mohamed Yamni, Abdeslam Hmimid, Omar El Ogri, Jan Flusser, Mustapha Maâroufi, Badreeddine Alami and Saad Motahhir and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Mhamed Sayyouri i

Fields of papers citing papers by Mhamed Sayyouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mhamed Sayyouri

Since Specialization
Citations

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