Salah Euschi

14 papers and 579 indexed citations i.

About

Salah Euschi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Salah Euschi has authored 14 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Computational Theory and Mathematics. Recurrent topics in Salah Euschi’s work include Advanced Steganography and Watermarking Techniques (14 papers), Digital Media Forensic Detection (10 papers) and Chaos-based Image/Signal Encryption (9 papers). Salah Euschi is often cited by papers focused on Advanced Steganography and Watermarking Techniques (14 papers), Digital Media Forensic Detection (10 papers) and Chaos-based Image/Signal Encryption (9 papers). Salah Euschi collaborates with scholars based in Algeria. Salah Euschi's co-authors include Fares Kahlessenane, 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 Salah Euschi i

Fields of papers citing papers by Salah Euschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Salah Euschi

Since Specialization
Citations

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