Quinn Jones

About

Quinn Jones is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Quinn Jones has authored 3 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Quinn Jones’s work include Domain Adaptation and Few-Shot Learning (2 papers), COVID-19 diagnosis using AI (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Quinn Jones is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), COVID-19 diagnosis using AI (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Quinn Jones collaborates with scholars based in United States and Slovakia. Quinn Jones's co-authors include Saeid Motiian, Gianfranco Doretto, Seyed Mehdi Iranmanesh, R. Toman, Péter Massányi and Stanislav Pidhorskyi and has published in prestigious journals such as Neural Information Processing Systems, Computer Vision and Pattern Recognition and Journal of Environmental Science and Health Part A Environmental Science and Engineering and Toxicology.

In The Last Decade

Co-authorship network of co-authors of Quinn Jones i

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Fields of papers citing papers by Quinn Jones

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Quinn Jones

Since Specialization

Citations

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