Juan Garzón
About
Juan Garzón is a scholar working on Information Systems, Education and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Juan Garzón has authored 26 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 9 papers in Education and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Juan Garzón’s work include Mobile Learning in Education (9 papers), Augmented Reality Applications (8 papers) and Technology-Enhanced Education Studies (6 papers). Juan Garzón is often cited by papers focused on Mobile Learning in Education (9 papers), Augmented Reality Applications (8 papers) and Technology-Enhanced Education Studies (6 papers). Juan Garzón collaborates with scholars based in Spain, United States and Türkiye. Juan Garzón's co-authors include Hüseyin Ateş, Juán Pavón, Silvia Baldiris, Γεώργιος Λαμπρόπουλος and Soheil Salha and has published in prestigious journals such as Sensors, Educational Research Review and Journal of Computer Assisted Learning.
In The Last Decade
Fields of papers citing papers by Juan Garzón
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 Juan Garzón. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Juan Garzón may publish in the future.
Countries citing papers authored by Juan Garzón
Since SpecializationCitations
This map shows the geographic impact of Juan Garzón'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 Juan Garzón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Garzón more than expected).
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