Google (United States)

1.4M citations
16.1k papers ·

Impact in

Papers in

Google (United States)

15.2k papers receiving 1.4M citations

Peers

Google (United States)
Comparison fields: 5 of 251
  • Computer Vision and Pattern Recognition 362.5k
  • Artificial Intelligence 388.3k
  • Health Informatics 19.7k
  • Hardware and Architecture 39.8k
  • Information Systems 116.6k
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Citations per field
00.5×2×3×4×4.9×
Meta (United States) · 1×
Citations per year

Countries citing scholars working at Google (United States)

Since Specialization
Citations

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).

Fields of papers published by authors at Google (United States)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Google (United States) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Google (United States) at the time of their publication.

About Google (United States)

In recent decades, authors affiliated with Google (United States) have published 16.1k papers, which have received a total of 1.4M indexed citations . Scholars at this organization have produced 5.4k papers in Artificial Intelligence, 2.5k papers in Computer Vision and Pattern Recognition, 653 papers in Hardware and Architecture, 594 papers in Human-Computer Interaction and 2k papers in Information Systems on the topics of Topic Modeling (810 papers), Natural Language Processing Techniques (801 papers), Speech Recognition and Synthesis (593 papers), Advanced Neural Network Applications (570 papers), Parallel Computing and Optimization Techniques (491 papers), Information Retrieval and Search Behavior (469 papers), 3D Shape Modeling and Analysis (401 papers) and Domain Adaptation and Few-Shot Learning (380 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (362.5k citations), Artificial Intelligence (388.3k citations), Health Informatics (19.7k citations), Hardware and Architecture (39.8k citations) and Information Systems (116.6k citations). Authors at Google (United States) collaborate with scholars in United States, United Kingdom and Canada and have published in prestigious journals including Communications of the ACM, Proceedings of the VLDB Endowment, Lecture notes in computer science, Nature and ACM Transactions on Graphics. Some of Google (United States)'s most productive authors include Geoffrey E. Hinton, Ilya Sutskever, Alex Krizhevsky, Yoshua Bengio, Yann LeCun, Christian Szegedy, Dumitru Erhan, Vincent Vanhoucke, Liang-Chieh Chen and Dragomir Anguelov.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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