Apple (United States)

1.7k papers and 48.0k indexed citations

About

In recent decades, authors affiliated with Apple (United States) have published 1.7k papers, which have received a total of 48.0k indexed citations. Scholars at this organization have produced 370 papers in Electrical and Electronic Engineering, 259 papers in Artificial Intelligence and 196 papers in Computer Vision and Pattern Recognition on the topics of Parallel Computing and Optimization Techniques (66 papers), Speech Recognition and Synthesis (66 papers) and Speech and Audio Processing (51 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (12.0k citations), Electrical and Electronic Engineering (7.8k citations) and Artificial Intelligence (6.8k citations). Authors at Apple (United States) collaborate with scholars in United States, Israel and China and have published in prestigious journals including Science, Circulation and Nature Communications. Some of Apple (United States)'s most productive authors include Roberto Manduchi, Carlo Tomasi, Lance R. Williams, Michael Kass, J.R. Bellegarda, Paul Dourish, Laurence L. George, Steve Harrison, Peter C. Litwinowicz and Gavin Miller.

In The Last Decade

Apple (United States)

1.5k papers receiving 46.2k citations

Countries citing scholars working at Apple (United States)

Since Specialization
Citations

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

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Apple (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 Apple (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.

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2026