Computer Vision and Image Understanding
About
The 3.1k papers published in Computer Vision and Image Understanding in the last decades have received a total of 97.4k indexed citations.
Papers published in Computer Vision and Image Understanding usually cover Computer Vision and Pattern Recognition (2.8k papers), Artificial Intelligence (452 papers) and Aerospace Engineering (449 papers) specifically the topics of Advanced Vision and Imaging (766 papers), Advanced Image and Video Retrieval Techniques (680 papers) and Video Surveillance and Tracking Methods (478 papers). The most active scholars publishing in Computer Vision and Image Understanding are Luc Van Gool, Tinne Tuytelaars, Andreas Ess, Herbert Bay, T.F. Cootes, D. H. Cooper, Chris Taylor, James Graham, Thomas B. Moeslund and Dariu M. Gavrila.
In The Last Decade
Fields of papers published in Computer Vision and Image Understanding
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 Computer Vision and Image Understanding. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Computer Vision and Image Understanding
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Computer Vision and Image Understanding. 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 Computer Vision and Image Understanding 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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