META Health

486 papers and 4.4k indexed citations

About

In recent decades, authors affiliated with META Health have published 486 papers, which have received a total of 4.4k indexed citations. Scholars at this organization have produced 205 papers in Computer Vision and Pattern Recognition, 96 papers in Cognitive Neuroscience and 83 papers in Computational Mechanics on the topics of Advanced Vision and Imaging (77 papers), Speech and Audio Processing (72 papers) and Human Pose and Action Recognition (59 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (2.1k citations), Artificial Intelligence (798 citations) and Computational Mechanics (752 citations). Authors at META Health collaborate with scholars in United States, Canada and United Kingdom and have published in prestigious journals including Nature, Proceedings of the National Academy of Sciences and Nature Communications. Some of META Health's most productive authors include Chengjiang Long, Shunsuke Saito, Zechun Liu, Samuel Rota Bulò, Peter Kontschieder, Yuchen Fan, Yiheng Xie, Federico Tombari, Numair Khan and Towaki Takikawa.

In The Last Decade

META Health

397 papers receiving 4.2k citations

Countries citing scholars working at META Health

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at META Health. 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 Health with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites META Health more than expected).

Fields of papers published by authors at META Health

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with META Health 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 Health at the time of their publication.

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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2026