Benoît Macq

79 papers and 1.5k indexed citations i.

About

Benoît Macq is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Benoît Macq has authored 79 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Benoît Macq’s work include Advanced Steganography and Watermarking Techniques (17 papers), Chaos-based Image/Signal Encryption (11 papers) and Advanced Data Compression Techniques (10 papers). Benoît Macq is often cited by papers focused on Advanced Steganography and Watermarking Techniques (17 papers), Chaos-based Image/Signal Encryption (11 papers) and Advanced Data Compression Techniques (10 papers). Benoît Macq collaborates with scholars based in Belgium, France and Switzerland. Benoît Macq's co-authors include Jean-François Delaigle, Christophe De Vleeschouwer, Patrick Bas, J.-M. Chassery, François Cayre, Raphaël Olszewski, H Reychler, Guy Cosnard, John A. Lee and Kevin Souris and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Benoît Macq i

Fields of papers citing papers by Benoît Macq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Benoît Macq

Since Specialization
Citations

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