Computational Visual Media
About
The 363 papers published in Computational Visual Media in the last decades have received a total of 6.8k indexed citations.
Papers published in Computational Visual Media usually cover Computer Vision and Pattern Recognition (312 papers), Computer Graphics and Computer-Aided Design (104 papers) and Computational Mechanics (89 papers) specifically the topics of Advanced Vision and Imaging (114 papers), Computer Graphics and Visualization Techniques (99 papers) and 3D Shape Modeling and Analysis (73 papers). The most active scholars publishing in Computational Visual Media are Shi‐Min Hu, Ming‐Ming Cheng, Zheng-Ning Liu, Meng-Hao Guo, Tai‐Jiang Mu, Ralph R. Martin, Deng-Ping Fan, Jun-Xiong Cai, Ling Shao and Song–Hai Zhang.
In The Last Decade
Fields of papers published in Computational Visual Media
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 Computational Visual Media. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Computational Visual Media
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Computational Visual Media. 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 Computational Visual Media 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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