Mohamed Tamaazousti

25 papers and 125 indexed citations i.

About

Mohamed Tamaazousti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Mohamed Tamaazousti has authored 25 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Statistics and Probability. Recurrent topics in Mohamed Tamaazousti’s work include Advanced Vision and Imaging (5 papers), Random Matrices and Applications (4 papers) and Theoretical and Computational Physics (4 papers). Mohamed Tamaazousti is often cited by papers focused on Advanced Vision and Imaging (5 papers), Random Matrices and Applications (4 papers) and Theoretical and Computational Physics (4 papers). Mohamed Tamaazousti collaborates with scholars based in France, Benin and United States. Mohamed Tamaazousti's co-authors include Vincent Lahoche, Dine Ousmane Samary, Céline Hudelot, Hervé Le Borgne, Adrien Bartoli, Jean‐Baptiste Sirven, Harold Erbin, Romain Couillet, Vincent Rivasseau and John Y. Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing and Journal of Mathematical Physics.

In The Last Decade

Co-authorship network of co-authors of Mohamed Tamaazousti i

Fields of papers citing papers by Mohamed Tamaazousti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohamed Tamaazousti

Since Specialization
Citations

This map shows the geographic impact of Mohamed Tamaazousti'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 Mohamed Tamaazousti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Tamaazousti 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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2025