Barret Zoph

26 papers and 10.2k indexed citations i.

About

Barret Zoph is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Barret Zoph has authored 26 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Barret Zoph’s work include Advanced Neural Network Applications (13 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Multimodal Machine Learning Applications (6 papers). Barret Zoph is often cited by papers focused on Advanced Neural Network Applications (13 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Multimodal Machine Learning Applications (6 papers). Barret Zoph collaborates with scholars based in United States and Germany. Barret Zoph's co-authors include Quoc V. Le, Jonathon Shlens, Vijay Vasudevan, Ekin D. Cubuk, Daniel Park, William Chan, Yu Zhang, Chung‐Cheng Chiu, Kevin Knight and Irwan Bello and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Barret Zoph i

Fields of papers citing papers by Barret Zoph

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barret Zoph. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Barret Zoph. The network helps show where Barret Zoph may publish in the future.

Countries citing papers authored by Barret Zoph

Since Specialization
Citations

This map shows the geographic impact of Barret Zoph's research. 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 Barret Zoph with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barret Zoph 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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2025