Matthew D. Zeiler

About

Matthew D. Zeiler is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Matthew D. Zeiler has authored 7 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Matthew D. Zeiler’s work include Generative Adversarial Networks and Image Synthesis (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Neural Network Applications (2 papers). Matthew D. Zeiler is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Neural Network Applications (2 papers). Matthew D. Zeiler collaborates with scholars based in United States, Canada and Hong Kong. Matthew D. Zeiler's co-authors include Rob Fergus, Graham W. Taylor, David Eigen, Hongyang Li, Samuel Dodge, Xiaogang Wang, Geoffrey E. Hinton, Vincent Vanhoucke, M. Mao and M. Ranzato and has published in prestigious journals such as International Conference on Computer Vision, 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 Matthew D. Zeiler i

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Fields of papers citing papers by Matthew D. Zeiler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew D. Zeiler. 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 Matthew D. Zeiler. The network helps show where Matthew D. Zeiler may publish in the future.

Countries citing papers authored by Matthew D. Zeiler

Since Specialization

Citations

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