Apple (United States)

1.3k papers and 25.6k indexed citations i.

About

In recent decades, authors affiliated with Apple (United States) have published 1.3k papers, which have received a total of 25.6k indexed citations. Scholars at this organization have produced 272 papers in Electrical and Electronic Engineering, 162 papers in Artificial Intelligence and 127 papers in Computer Vision and Pattern Recognition on the topics of Analog and Mixed-Signal Circuit Design (39 papers), Speech Recognition and Synthesis (39 papers) and Radio Frequency Integrated Circuit Design (37 papers). Their work is cited by papers focused on Electrical and Electronic Engineering (4.8k citations), Artificial Intelligence (3.4k citations) and Computer Vision and Pattern Recognition (2.4k citations). Authors at Apple (United States) collaborate with scholars in United States, China and Japan and have published in prestigious journals including Science, Circulation and Nature Communications. Some of Apple (United States)'s most productive authors include Laurence L. George, J.R. Bellegarda, Peter C. Litwinowicz, Richard F. Lyon, Jerome R. Bellegarda, P.A. Humblet, Robert G. Gallager, Philip M. Spira, Joel M. Podolny and Michael Gleicher.

In The Last Decade

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.

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).

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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