John Eyles
About
John Eyles is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Graphics and Computer-Aided Design.
According to data from OpenAlex, John Eyles has authored 8 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Electrical and Electronic Engineering and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in John Eyles’s work include Computer Graphics and Visualization Techniques (3 papers), Advancements in PLL and VCO Technologies (3 papers) and Analog and Mixed-Signal Circuit Design (2 papers). John Eyles is often cited by papers focused on Computer Graphics and Visualization Techniques (3 papers), Advancements in PLL and VCO Technologies (3 papers) and Analog and Mixed-Signal Circuit Design (2 papers). John Eyles collaborates with scholars based in United States and United Kingdom. John Eyles's co-authors include John W. Poulton, William J. Dally, R. Palmer, Andrew M. Fuller, Henry Fuchs, Mark Horowitz, Jack Goldfeather, John D. Austin, John Wilson and Frederick P. Brooks and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Computer Graphics and Applications and ACM SIGGRAPH Computer Graphics.
In The Last Decade
Co-authorship network of co-authors of John Eyles i
Fields of papers citing papers by John Eyles
Since SpecializationEngineeringComputer 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 John Eyles. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where John Eyles may publish in the future.
Countries citing papers authored by John Eyles
Since SpecializationCitations
This map shows the geographic impact of John Eyles'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 John Eyles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Eyles more than expected).
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