Mohamed–Chaker Larabi

67 papers and 398 indexed citations i.

About

Mohamed–Chaker Larabi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Mohamed–Chaker Larabi has authored 67 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Vision and Pattern Recognition, 20 papers in Media Technology and 13 papers in Signal Processing. Recurrent topics in Mohamed–Chaker Larabi’s work include Image and Video Quality Assessment (32 papers), Visual Attention and Saliency Detection (23 papers) and Advanced Vision and Imaging (17 papers). Mohamed–Chaker Larabi is often cited by papers focused on Image and Video Quality Assessment (32 papers), Visual Attention and Saliency Detection (23 papers) and Advanced Vision and Imaging (17 papers). Mohamed–Chaker Larabi collaborates with scholars based in France, Norway and Algeria. Mohamed–Chaker Larabi's co-authors include Christine Fernández-Maloigne, Aldo Maalouf, Sid Ahmed Fezza, Massimiliano Corsini, Libor Váša, Kai Wang, Guillaume Lavoué, Faouzi Alaya Cheikh, Kamel Mohamed Faraoun and Aladine Chetouani and has published in prestigious journals such as Sensors, IEEE Access and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Mohamed–Chaker Larabi i

Fields of papers citing papers by Mohamed–Chaker Larabi

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

Countries citing papers authored by Mohamed–Chaker Larabi

Since Specialization
Citations

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

Rankless by CCL
2025