Adobe Systems (United States)

2.2k papers and 75.4k indexed citations i.

About

In recent decades, authors affiliated with Adobe Systems (United States) have published 2.2k papers, which have received a total of 75.4k indexed citations. Scholars at this organization have produced 1.4k papers in Computer Vision and Pattern Recognition, 543 papers in Artificial Intelligence and 443 papers in Computer Graphics and Computer-Aided Design on the topics of Advanced Vision and Imaging (462 papers), Computer Graphics and Visualization Techniques (429 papers) and 3D Shape Modeling and Analysis (315 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (53.5k citations), Artificial Intelligence (14.4k citations) and Computer Graphics and Computer-Aided Design (11.7k citations). Authors at Adobe Systems (United States) collaborate with scholars in United States, China and Canada and have published in prestigious journals including Science, Proceedings of the National Academy of Sciences and JAMA. Some of Adobe Systems (United States)'s most productive authors include Shuicheng Yan, Eli Shechtman, Zhe Lin, Hailin Jin, Xiaohui Shen, Andrew Gelman, Dan B Goldman, Connelly Barnes, Aseem Agarwala and Sylvain Paris.

In The Last Decade

Fields of papers published by authors at Adobe Systems (United States)

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Adobe Systems (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 Adobe Systems (United States) at the time of their publication.

Countries citing scholars working at Adobe Systems (United States)

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at Adobe Systems (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 Adobe Systems (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 Adobe Systems (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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