Journal of Vision
About
The 12.8k papers published in Journal of Vision in the last decades have received a total of 155.2k indexed citations.
Papers published in Journal of Vision usually cover Cognitive Neuroscience (10.1k papers), Computer Vision and Pattern Recognition (2.3k papers) and Social Psychology (1.8k papers) specifically the topics of Visual perception and processing mechanisms (7.8k papers), Neural dynamics and brain function (2.4k papers) and Neural and Behavioral Psychology Studies (2.1k papers). The most active scholars publishing in Journal of Vision are Nikolaus F. Troje, Benjamin W. Tatler, Karl R. Gegenfurtner, Martin S. Banks, Miguel P. Eckstein, Zhong‐Lin Lu, Andrew B. Watson, Bruno Rossion, Christof Koch and Marc O. Ernst.
In The Last Decade
Fields of papers published in Journal of Vision
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 published in Journal of Vision. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Journal of Vision
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Journal of Vision. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Journal of Vision with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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