Nvidia (United States)

2.3k papers and 65.4k indexed citations

About

In recent decades, authors affiliated with Nvidia (United States) have published 2.3k papers, which have received a total of 65.4k indexed citations. Scholars at this organization have produced 605 papers in Electrical and Electronic Engineering, 578 papers in Hardware and Architecture and 500 papers in Computer Vision and Pattern Recognition on the topics of Parallel Computing and Optimization Techniques (428 papers), Advanced Data Storage Technologies (190 papers) and Computer Graphics and Visualization Techniques (176 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (19.0k citations), Electrical and Electronic Engineering (14.8k citations) and Artificial Intelligence (12.3k citations). Authors at Nvidia (United States) collaborate with scholars in United States, United Kingdom and China and have published in prestigious journals including Nature, Science and Chemical Reviews. Some of Nvidia (United States)'s most productive authors include Joel Emer, Vivienne Sze, Jan Kautz, Tien-Ju Yang, Yu‐Hsin Chen, Duncan Poole, Andreas W. Götz, Ross C. Walker, Michael Garland and William J. Dally.

In The Last Decade

Nvidia (United States)

2.0k papers receiving 63.9k citations

Countries citing scholars working at Nvidia (United States)

Since Specialization
Citations

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

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Nvidia (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 Nvidia (United States) 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.

Explore institutions with similar magnitude of impact

Rankless by CCL
2026