Garrick Brazil

6 papers and 456 indexed citations i.

About

Garrick Brazil is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Garrick Brazil has authored 6 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Aerospace Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Garrick Brazil’s work include Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (3 papers) and Human Pose and Action Recognition (2 papers). Garrick Brazil is often cited by papers focused on Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (3 papers) and Human Pose and Action Recognition (2 papers). Garrick Brazil collaborates with scholars based in United States. Garrick Brazil's co-authors include Xiaoming Liu, Xiaoming Liu, Shengjie Zhu, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin C. Johnson and Georgia Gkioxari 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 Garrick Brazil i

Fields of papers citing papers by Garrick Brazil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garrick Brazil. 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 Garrick Brazil. The network helps show where Garrick Brazil may publish in the future.

Countries citing papers authored by Garrick Brazil

Since Specialization
Citations

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