Apple (Israel)

409 papers and 9.9k indexed citations i.

About

In recent decades, authors affiliated with Apple (Israel) have published 409 papers, which have received a total of 9.9k indexed citations. Scholars at this organization have produced 56 papers in Plant Science, 49 papers in Artificial Intelligence and 33 papers in Computer Vision and Pattern Recognition on the topics of Plant Physiology and Cultivation Studies (37 papers), Horticultural and Viticultural Research (28 papers) and Postharvest Quality and Shelf Life Management (16 papers). Their work is cited by papers focused on Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (1.0k citations) and Plant Science (993 citations). Authors at Apple (Israel) collaborate with scholars in Israel, United States and United Kingdom and have published in prestigious journals including Nature, Physical Review Letters and Circulation. Some of Apple (Israel)'s most productive authors include A. H. Gabriel, William Gaver, Donald A. Norman, T. Itoh, Kuang-Ping Ma, Fei-Ran Yang, Jim Spohrer, Allen Cypher, Oncel Tuzel and Ondřej Chum.

In The Last Decade

Fields of papers published by authors at Apple (Israel)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Apple (Israel) 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 (Israel) at the time of their publication.

Countries citing scholars working at Apple (Israel)

Since Specialization
Citations

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