Google (United States)
About
In recent decades, authors affiliated with Google (United States) have published 25.4k papers, which have received a total of 1.2M indexed citations.
Scholars at this organization have produced 5.6k papers in Artificial Intelligence, 4.2k papers in Cognitive Neuroscience and 4.1k papers in Developmental and Educational Psychology on the topics of Language Development and Disorders (2.9k papers), Hearing Loss and Rehabilitation (1.8k papers) and Reading and Literacy Development (1.7k papers). Their work is cited by papers focused on Artificial Intelligence (300.7k citations), Computer Vision and Pattern Recognition (221.6k citations) and Cognitive Neuroscience (157.6k citations). Authors at Google (United States) collaborate with scholars in United States, United Kingdom and Canada and have published in prestigious journals including Nature, Science and Cell. Some of Google (United States)'s most productive authors include Quoc V. Le, Jonathan T. Barron, Ryan Babbush, William T. Freeman and Laurence B. Leonard.
In The Last Decade
Fields of papers published by authors at Google (United States)
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 affiliated with Google (United States) at the time of their publication. Nodes represent fields, and links connect fields that are likely to share authors.
Countries citing scholars working at Google (United States)
Since SpecializationCitations
This map shows the geographic impact of research produced by authors working at Google (United States). It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Google (United States) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Google (United States) more than expected).
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