META Health

319 papers and 2.1k indexed citations i.

About

In recent decades, authors affiliated with META Health have published 319 papers, which have received a total of 2.1k indexed citations. Scholars at this organization have produced 153 papers in Computer Vision and Pattern Recognition, 63 papers in Computational Mechanics and 53 papers in Cognitive Neuroscience on the topics of Advanced Vision and Imaging (61 papers), Human Pose and Action Recognition (51 papers) and Speech and Audio Processing (48 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (1.3k citations), Computational Mechanics (502 citations) and Artificial Intelligence (374 citations). Authors at META Health collaborate with scholars in United States, Germany and United Kingdom and have published in prestigious journals including Nature, Proceedings of the National Academy of Sciences and Neuron. Some of META Health's most productive authors include Shunsuke Saito, Chengjiang Long, Towaki Takikawa, Yiheng Xie, Vincent Sitzmann, Numair Khan, Or Litany, James Tompkin, Federico Tombari and Srinath Sridhar.

In The Last Decade

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.

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).

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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2025