Meta (United States)

1.5k papers and 143.5k indexed citations i.

About

In recent decades, authors affiliated with Meta (United States) have published 1.5k papers, which have received a total of 143.5k indexed citations. Scholars at this organization have produced 455 papers in Artificial Intelligence, 286 papers in Computer Vision and Pattern Recognition and 220 papers in Computer Networks and Communications on the topics of Topic Modeling (120 papers), Natural Language Processing Techniques (91 papers) and Speech and Audio Processing (75 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (49.2k citations), Artificial Intelligence (45.3k citations) and Electrical and Electronic Engineering (11.4k citations). Authors at Meta (United States) collaborate with scholars in United States, China and United Kingdom and have published in prestigious journals including Nature, Science and New England Journal of Medicine. Some of Meta (United States)'s most productive authors include Yann LeCun, Yoshua Bengio, Geoffrey E. Hinton, Kaiming He, Ross Girshick, Shaoqing Ren, Jian Sun, Ming Yang, Dhruv Batra and Devi Parikh.

In The Last Decade

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Meta (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 Meta (United States) at the time of their publication.

Countries citing scholars working at Meta (United States)

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at Meta (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 Meta (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 Meta (United States) more than expected).

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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