Courtney Paquette

About

Courtney Paquette is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Courtney Paquette has authored 6 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Mechanics. Recurrent topics in Courtney Paquette’s work include Stochastic Gradient Optimization Techniques (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Image and Object Detection Techniques (2 papers). Courtney Paquette is often cited by papers focused on Stochastic Gradient Optimization Techniques (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Image and Object Detection Techniques (2 papers). Courtney Paquette collaborates with scholars based in United States, Canada and Israel. Courtney Paquette's co-authors include Dmitriy Drusvyatskiy, Katya Scheinberg, Damek Davis, Elliot Paquette, Bart van Merriënboer and Fabián Pedregosa and has published in prestigious journals such as Mathematical Programming, SIAM Journal on Optimization and Journal of Optimization Theory and Applications.

In The Last Decade

Co-authorship network of co-authors of Courtney Paquette i

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Fields of papers citing papers by Courtney Paquette

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Courtney Paquette

Since Specialization

Citations

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