Mounir Sayadi

76 papers and 698 indexed citations i.

About

Mounir Sayadi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Mounir Sayadi has authored 76 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 11 papers in Neurology. Recurrent topics in Mounir Sayadi’s work include Medical Image Segmentation Techniques (11 papers), AI in cancer detection (10 papers) and Vestibular and auditory disorders (8 papers). Mounir Sayadi is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), AI in cancer detection (10 papers) and Vestibular and auditory disorders (8 papers). Mounir Sayadi collaborates with scholars based in Tunisia, France and China. Mounir Sayadi's co-authors include Farhat Fnaiech, Aymen Mouelhi, Moez Bouchouicha, Karima Mrad, Lotfi Saïdi, J. Pouget, Khaled Ben Romdhane, Sébastien Frizzi, Éric Moreau and Jean‐Marc Ginoux and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Signal Processing and European Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Mounir Sayadi i

Fields of papers citing papers by Mounir Sayadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mounir Sayadi

Since Specialization
Citations

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