Artificial Intelligence
About
2.0M papers covering Artificial Intelligence have received a total of 38.2M indexed citations since 1950.
Papers on subfields are most often about the specific topic of Geochemistry and Geologic Mapping, Quantum Information and Cryptography and Neural Networks and Applications and also cover the fields of Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications. Papers citing papers on subfields are usually about Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. Some of the most active scholars covering Artificial Intelligence are Francisco Herrera, J. I. Cirac, P. Zoller, Seyedali Mirjalili and Nicolas Gisin.
In The Last Decade
Fields of papers citing papers about Artificial Intelligence
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 Artificial Intelligence. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish papers about Artificial Intelligence
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research in Artificial Intelligence. 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 Artificial Intelligence 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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