Cody Reading

5 papers and 237 indexed citations i.

About

Cody Reading is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Cody Reading has authored 5 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Computational Mechanics. Recurrent topics in Cody Reading’s work include Advanced Neural Network Applications (3 papers), Advanced Vision and Imaging (2 papers) and Video Surveillance and Tracking Methods (2 papers). Cody Reading is often cited by papers focused on Advanced Neural Network Applications (3 papers), Advanced Vision and Imaging (2 papers) and Video Surveillance and Tracking Methods (2 papers). Cody Reading collaborates with scholars based in Canada. Cody Reading's co-authors include Steven L. Waslander, Ali Harakeh, Andrea Tagliasacchi, Alec Jacobson, Krzysztof Czarnecki, Kwang Moo Yi and Daniel Rebain and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Cody Reading i

Fields of papers citing papers by Cody Reading

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cody Reading

Since Specialization
Citations

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