Colorado Reed

About

Colorado Reed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Global and Planetary Change. According to data from OpenAlex, Colorado Reed has authored 9 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Global and Planetary Change. Recurrent topics in Colorado Reed’s work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Neural Network Applications (3 papers). Colorado Reed is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Neural Network Applications (3 papers). Colorado Reed collaborates with scholars based in United States, Australia and Argentina. Colorado Reed's co-authors include Trevor Darrell, Kurt Keutzer, Xiaolong Wang, Tete Xiao, Patrick T. Brown, Steven J. Davis, Adam K. Kochanski, Craig B. Clements, Sean L. Metzger and Amir Globerson and has published in prestigious journals such as Nature, Statistical Analysis and Data Mining The ASA Data Science Journal and Proceedings of the International Astronomical Union.

In The Last Decade

Co-authorship network of co-authors of Colorado Reed i

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Fields of papers citing papers by Colorado Reed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Colorado Reed

Since Specialization

Citations

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