Google (United States)

Institution (Company)

Homepage Wikipedia ROR

Also Known As

Google (United States), Google Research, Googleplex

76.9K

Publications

11.4M

Citations

6.7K

Authors

Concepts

About

Google (United States) is a company institution in Mountain View, United States known for engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	448	26.3K	6.3M
2	Health Sciences	173	6.6K	596.6K
3	Arts	130	3.6K	244.1K
4	Education	111	2.1K	155.8K
5	Business	106	1.2K	101.8K

Google (United States)

76.9K

Publications

11.4M

Citations

Page 1

	Year	Citations
ImageNet classification with deep convolutional neural networks Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton Communications of the ACM Convolutional Neural NetworkEngineeringMachine LearningNeural NetworkImagenet Classification	2017	75.5K
Going deeper with convolutions Christian Szegedy, Wei Liu, Yangqing Jia, Image ClassificationDeep Neural NetworksImage AnalysisMachine LearningData Science	2015	46.2K
SciPy 1.0: fundamental algorithms for scientific computing in Python Nature Methods	2020	35.1K
Rethinking the Inception Architecture for Computer Vision Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Convolutional Neural NetworkEngineeringMachine LearningInception ArchitectureImage Classification	2016	30.2K
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe, Christian Szegedy arXiv (Cornell University) Data AugmentationDeep Neural NetworksMachine VisionMachine LearningData Science	2015	24.2K
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler, Andrew Howard, Menglong Zhu, Convolutional Neural NetworkScene AnalysisEngineeringMachine LearningMobile Models	2018	24.2K
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, IEEE Transactions on Pattern Analysis and Machine Intelligence Semantic Image SegmentationConvolutional Neural NetworkScene AnalysisImage AnalysisMachine Learning	2017	21.4K
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningImage RetrievalMultimodal Llm	2020	21.2K
Array programming with NumPy Nature	2020	20.4K
MapReduce Sanjay Ghemawat Communications of the ACM Cluster ComputingEngineeringComputer ArchitectureMap-reduceThousand Mapreduce Jobs	2008	18.4K

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