Mohammed Heyouni

About

Mohammed Heyouni is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, Mohammed Heyouni has authored 27 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Theory and Mathematics, 13 papers in Numerical Analysis and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Mohammed Heyouni’s work include Matrix Theory and Algorithms (24 papers), Model Reduction and Neural Networks (12 papers) and Numerical methods for differential equations (10 papers). Mohammed Heyouni is often cited by papers focused on Matrix Theory and Algorithms (24 papers), Model Reduction and Neural Networks (12 papers) and Numerical methods for differential equations (10 papers). Mohammed Heyouni collaborates with scholars based in France, Morocco and Iran. Mohammed Heyouni's co-authors include Azita Tajaddini, Farid Saberi-Movahed, H. Sadok, A. Bouhamidi, Ali Messaoudi, K. Jbilou, Biswa Nath Datta, P Marion and Xian‐Ming Gu and has published in prestigious journals such as Journal of the Franklin Institute, Computers & Mathematics with Applications and Applied Mathematics and Computation.

In The Last Decade

Co-authorship network of co-authors of Mohammed Heyouni i

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Fields of papers citing papers by Mohammed Heyouni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohammed Heyouni

Since Specialization

Citations

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