Kamel Mohamed Faraoun

29 papers and 331 indexed citations i.

About

Kamel Mohamed Faraoun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Kamel Mohamed Faraoun has authored 29 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 11 papers in Computational Theory and Mathematics. Recurrent topics in Kamel Mohamed Faraoun’s work include Chaos-based Image/Signal Encryption (13 papers), Cellular Automata and Applications (10 papers) and DNA and Biological Computing (6 papers). Kamel Mohamed Faraoun is often cited by papers focused on Chaos-based Image/Signal Encryption (13 papers), Cellular Automata and Applications (10 papers) and DNA and Biological Computing (6 papers). Kamel Mohamed Faraoun collaborates with scholars based in Algeria, France and United States. Kamel Mohamed Faraoun's co-authors include Mohamed–Chaker Larabi, Sid Ahmed Fezza, Farid Naït‐Abdesselam and M.S. Merad and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Circuits and Systems for Video Technology and Nonlinear Dynamics.

In The Last Decade

Co-authorship network of co-authors of Kamel Mohamed Faraoun i

Fields of papers citing papers by Kamel Mohamed Faraoun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kamel Mohamed Faraoun

Since Specialization
Citations

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