Gaël Rouvroy

13 papers and 150 indexed citations i.

About

Gaël Rouvroy is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Gaël Rouvroy has authored 13 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Gaël Rouvroy’s work include Advanced Data Compression Techniques (6 papers), Video Coding and Compression Technologies (5 papers) and Chaos-based Image/Signal Encryption (5 papers). Gaël Rouvroy is often cited by papers focused on Advanced Data Compression Techniques (6 papers), Video Coding and Compression Technologies (5 papers) and Chaos-based Image/Signal Encryption (5 papers). Gaël Rouvroy collaborates with scholars based in Belgium, Germany and United Kingdom. Gaël Rouvroy's co-authors include François‐Xavier Standaert, Jean-Jacques Quisquater, Thomas Richter, Joachim Keinert and Jean-Didier Legat and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and IEEE Transactions on Computers.

In The Last Decade

Fields of papers citing papers by Gaël Rouvroy

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Gaël Rouvroy. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gaël Rouvroy may publish in the future.

Countries citing papers authored by Gaël Rouvroy

Since Specialization
Citations

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

Rankless by CCL
2025