François Panneton

11 papers and 266 indexed citations i.

About

François Panneton is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, François Panneton has authored 11 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in François Panneton’s work include Chaos-based Image/Signal Encryption (9 papers), Algorithms and Data Compression (6 papers) and Cryptography and Residue Arithmetic (4 papers). François Panneton is often cited by papers focused on Chaos-based Image/Signal Encryption (9 papers), Algorithms and Data Compression (6 papers) and Cryptography and Residue Arithmetic (4 papers). François Panneton collaborates with scholars based in Canada and Japan. François Panneton's co-authors include Pierre L’Ecuyer, Makoto Matsumoto and Takuji Nishimura and has published in prestigious journals such as ACM Transactions on Mathematical Software, Mathematics and Computers in Simulation and INFORMS journal on computing.

In The Last Decade

Co-authorship network of co-authors of François Panneton i

Fields of papers citing papers by François Panneton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by François Panneton

Since Specialization
Citations

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