Mohamed Chaouch

12 papers and 107 indexed citations i.

About

Mohamed Chaouch is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Mohamed Chaouch has authored 12 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 4 papers in Artificial Intelligence and 2 papers in Finance. Recurrent topics in Mohamed Chaouch’s work include Statistical Methods and Inference (8 papers), Advanced Statistical Methods and Models (7 papers) and Bayesian Methods and Mixture Models (4 papers). Mohamed Chaouch is often cited by papers focused on Statistical Methods and Inference (8 papers), Advanced Statistical Methods and Models (7 papers) and Bayesian Methods and Mixture Models (4 papers). Mohamed Chaouch collaborates with scholars based in France, United Arab Emirates and United Kingdom. Mohamed Chaouch's co-authors include Hervé Cardot, Abdelwahed Trabelsi, Christian de Peretti, Ali Gannoun, Jaonary Rabarisoa, Céline Teulière, Thierry Château and Florian Chabot and has published in prestigious journals such as Computational Statistics & Data Analysis, Annals of Operations Research and International Statistical Review.

In The Last Decade

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

Fields of papers citing papers by Mohamed Chaouch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohamed Chaouch

Since Specialization
Citations

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