Drew A. Hudson

About

Drew A. Hudson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Drew A. Hudson has authored 6 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Drew A. Hudson’s work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Topic Modeling (3 papers). Drew A. Hudson is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Topic Modeling (3 papers). Drew A. Hudson collaborates with scholars based in United States and United Kingdom. Drew A. Hudson's co-authors include Christopher D. Manning, Kangwook Lee, Haejun Lee, Andrew Jaegle, Andrew K. Lampinen, James L. McClelland, Daniel Zoran, Mateusz Malinowski, Löıc Matthey and Felix Hill and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of Drew A. Hudson i

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Fields of papers citing papers by Drew A. Hudson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Drew A. Hudson. 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 Drew A. Hudson. The network helps show where Drew A. Hudson may publish in the future.

Countries citing papers authored by Drew A. Hudson

Since Specialization

Citations

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