Luke Metz

9 papers and 207 indexed citations i.

About

Luke Metz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Luke Metz has authored 9 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Luke Metz’s work include Machine Learning and Data Classification (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Luke Metz is often cited by papers focused on Machine Learning and Data Classification (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Luke Metz collaborates with scholars based in United States, Canada and Sweden. Luke Metz's co-authors include Jascha Sohl‐Dickstein, David Pfau, Ben Poole, Niru Maheswaranathan, Brian Cheung, C. Daniel Freeman, Jeremy Nixon, Dami Choi, George Tucker and James T. Kenney and has published in prestigious journals such as Journal of Managed Care & Specialty Pharmacy, 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 Luke Metz i

Fields of papers citing papers by Luke Metz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Luke Metz

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025