Computer Vision and Pattern Recognition
About
1.1M papers covering Computer Vision and Pattern Recognition have received a total of 19.1M indexed citations since 1950.
Papers on subfields are most often about the specific topic of Advanced Vision and Imaging, Image and Signal Denoising Methods and Advanced Image and Video Retrieval Techniques and also cover the fields of Artificial Intelligence, Signal Processing and Media Technology. Papers citing papers on subfields are usually about Artificial Intelligence, Media Technology and Aerospace Engineering. Some of the most active scholars covering Computer Vision and Pattern Recognition are Shuicheng Yan, Dacheng Tao, Lei Zhang, Luc Van Gool and Anil K. Jain.
In The Last Decade
Fields of papers citing papers about Computer Vision and Pattern Recognition
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 covering Computer Vision and Pattern Recognition. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish papers about Computer Vision and Pattern Recognition
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research in Computer Vision and Pattern Recognition. 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 about Computer Vision and Pattern Recognition 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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