Rufael Mekuria

About

Rufael Mekuria is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computer Networks and Communications. According to data from OpenAlex, Rufael Mekuria has authored 13 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Graphics and Computer-Aided Design and 3 papers in Computer Networks and Communications. Recurrent topics in Rufael Mekuria’s work include Computer Graphics and Visualization Techniques (8 papers), Advanced Vision and Imaging (7 papers) and 3D Shape Modeling and Analysis (3 papers). Rufael Mekuria is often cited by papers focused on Computer Graphics and Visualization Techniques (8 papers), Advanced Vision and Imaging (7 papers) and 3D Shape Modeling and Analysis (3 papers). Rufael Mekuria collaborates with scholars based in The Netherlands, Ireland and United Kingdom. Rufael Mekuria's co-authors include Pablo César, Zhu Li, Marius Preda, Dick C. A. Bulterman and Ebroul Izquierdo and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

In The Last Decade

Fields of papers citing papers by Rufael Mekuria

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

Countries citing papers authored by Rufael Mekuria

Since Specialization

Citations

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

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