Fares Kahlessenane

13 papers and 577 indexed citations i.

About

Fares Kahlessenane is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Fares Kahlessenane has authored 13 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Computational Theory and Mathematics. Recurrent topics in Fares Kahlessenane’s work include Advanced Steganography and Watermarking Techniques (13 papers), Digital Media Forensic Detection (9 papers) and Chaos-based Image/Signal Encryption (8 papers). Fares Kahlessenane is often cited by papers focused on Advanced Steganography and Watermarking Techniques (13 papers), Digital Media Forensic Detection (9 papers) and Chaos-based Image/Signal Encryption (8 papers). Fares Kahlessenane collaborates with scholars based in Algeria. Fares Kahlessenane's co-authors include Salah Euschi, Amine Khaldi and Mohamed Redouane Kafi and has published in prestigious journals such as Forensic Science International, Optik and Biomedical Signal Processing and Control.

In The Last Decade

Co-authorship network of co-authors of Fares Kahlessenane i

Fields of papers citing papers by Fares Kahlessenane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fares Kahlessenane

Since Specialization
Citations

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