Jean–François Aujol

71 papers and 2.3k indexed citations i.

About

Jean–François Aujol is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Jean–François Aujol has authored 71 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 26 papers in Computational Mechanics and 14 papers in Media Technology. Recurrent topics in Jean–François Aujol’s work include Sparse and Compressive Sensing Techniques (25 papers), Image and Signal Denoising Methods (22 papers) and Medical Image Segmentation Techniques (21 papers). Jean–François Aujol is often cited by papers focused on Sparse and Compressive Sensing Techniques (25 papers), Image and Signal Denoising Methods (22 papers) and Medical Image Segmentation Techniques (21 papers). Jean–François Aujol collaborates with scholars based in France, United States and Germany. Jean–François Aujol's co-authors include Nicolas Papadakis, Aurélie Bugeau, Yann Gousseau, Ch. Dossal and Aude Rondepierre and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Fields of papers citing papers by Jean–François Aujol

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 Jean–François Aujol. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jean–François Aujol may publish in the future.

Countries citing papers authored by Jean–François Aujol

Since Specialization
Citations

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

Rankless by CCL
2025