Microsoft (United States)
About
In recent decades, authors affiliated with Microsoft (United States) have published 13.7k papers, which have received a total of 635.9k indexed citations.
Scholars at this organization have produced 4.9k papers in Artificial Intelligence, 2.6k papers in Computer Networks and Communications and 2.5k papers in Computer Vision and Pattern Recognition on the topics of Topic Modeling (966 papers), Natural Language Processing Techniques (733 papers) and Parallel Computing and Optimization Techniques (588 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (190.7k citations), Artificial Intelligence (187.1k citations) and Computer Networks and Communications (83.4k citations). Authors at Microsoft (United States) collaborate with scholars in United States, United Kingdom and China and have published in prestigious journals including Nature, Science and Cell. Some of Microsoft (United States)'s most productive authors include David Heckerman, Chetan Nayak, Richard Szeliski, Li Deng and Eric Horvitz.
In The Last Decade
Fields of papers published by authors at Microsoft (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 Microsoft (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 Microsoft (United States)
Since SpecializationCitations
This map shows the geographic impact of research produced by authors working at Microsoft (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 Microsoft (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 Microsoft (United States) more than expected).
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