Rémi Cogranne

42 papers and 1.0k indexed citations i.

About

Rémi Cogranne is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Rémi Cogranne has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Rémi Cogranne’s work include Advanced Steganography and Watermarking Techniques (27 papers), Digital Media Forensic Detection (27 papers) and Chaos-based Image/Signal Encryption (17 papers). Rémi Cogranne is often cited by papers focused on Advanced Steganography and Watermarking Techniques (27 papers), Digital Media Forensic Detection (27 papers) and Chaos-based Image/Signal Encryption (17 papers). Rémi Cogranne collaborates with scholars based in France, United States and Vietnam. Rémi Cogranne's co-authors include Jessica Fridrich, Florent Retraint, Vahid Sedighi, Thanh Hai Thai, Quentin Giboulot, Patrick Bas, Tong Qiao, Guillaume Doyen, Edgardo Montes de and Olivier Festor and has published in prestigious journals such as The FASEB Journal, IEEE Transactions on Image Processing and IEEE Communications Magazine.

In The Last Decade

Co-authorship network of co-authors of Rémi Cogranne i

Fields of papers citing papers by Rémi Cogranne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rémi Cogranne

Since Specialization
Citations

This map shows the geographic impact of Rémi Cogranne'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 Rémi Cogranne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rémi Cogranne 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
2025