Drew A. Hudson

24 total papers · 2.7k total citations
2 papers, 41 citations indexed

About

Drew A. Hudson is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Drew A. Hudson has authored 2 papers receiving a total of 41 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Drew A. Hudson's work include Domain Adaptation and Few-Shot Learning (2 papers), Topic Modeling (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Drew A. Hudson is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Topic Modeling (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Drew A. Hudson collaborates with scholars based in United States and United Kingdom. Drew A. Hudson's co-authors include Christopher D. Manning, Andrew K. Lampinen, Felix Hill, Alexander Lerchner, Daniel Zoran, Löıc Matthey, James L. McClelland, Mateusz Malinowski and Andrew Jaegle and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Drew A. Hudson

2 papers receiving 39 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Drew A. Hudson 41 28 2 2 1 2 41
Joseph Hassoun 31 0.8× 30 1.1× 1 0.5× 2 1.0× 1 1.0× 4 55
Ishaan Gulrajani 39 1.0× 32 1.1× 3 1.5× 3 62
Minseop Park 26 0.6× 38 1.4× 3 1.5× 3 42
Taroon Bharti 33 0.8× 36 1.3× 2 46
M. Soiron 31 0.8× 34 1.2× 1 0.5× 3 43
Sebastian Szyller 30 0.7× 53 1.9× 2 1.0× 3 66
Wenyi Hong 23 0.6× 16 0.6× 2 1.0× 1 1.0× 2 38
Deepika Bablani 45 1.1× 34 1.2× 1 0.5× 2 58
Fan Yang 42 1.0× 15 0.5× 1 0.5× 1 1.0× 4 50
Jihoon Tack 18 0.4× 37 1.3× 1 0.5× 2 1.0× 1 1.0× 4 45

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Drew A. Hudson. A scholar is included among the top collaborators of Drew A. Hudson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Drew A. Hudson. Drew A. Hudson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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