Faïcel Chamroukhi

22 papers and 809 indexed citations
i
.

About

Faïcel Chamroukhi is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Faïcel Chamroukhi has authored 22 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Statistics and Probability and 3 papers in Molecular Biology. Recurrent topics in Faïcel Chamroukhi’s work include Bayesian Methods and Mixture Models (16 papers), Statistical Methods and Inference (6 papers) and Advanced Clustering Algorithms Research (5 papers). Faïcel Chamroukhi is often cited by papers focused on Bayesian Methods and Mixture Models (16 papers), Statistical Methods and Inference (6 papers) and Advanced Clustering Algorithms Research (5 papers). Faïcel Chamroukhi collaborates with scholars based in France, Australia and Canada. Faïcel Chamroukhi's co-authors include Latifa Oukhellou, Samer Mohammed, Yacine Amirat, Ferhat Attal, Hien D. Nguyen, Yacine Amirat, Allou Samé, Gérard Govaert, Patrice Aknin and Geoffrey J. McLachlan and has published in prestigious journals such as Sensors, Neurocomputing and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Faïcel Chamroukhi

This figure shows the co-authorship network connecting the top 25 collaborators of Faïcel Chamroukhi. A scholar is included among the top collaborators of Faïcel Chamroukhi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Faïcel Chamroukhi. Faïcel Chamroukhi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Faïcel Chamroukhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Faïcel Chamroukhi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2026