Quinn Jones
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Health, Toxicology and Mutagenesis
- Co-authors
- Seyed Mehdi IranmaneshSaeid MotiianGianfranco DorettoPéter MassányiR. TomanGeorge A. SpirouMark H. EllismanTom DeFanti
- Topics
- Domain Adaptation and Few-Shot Learning (2 papers)Drug-Induced Hepatotoxicity and Protection (1 paper)Handwritten Text Recognition Techniques (1 paper)
- Journals
- Neural Information Processing SystemsComputer Vision and Pattern RecognitionJournal of Environmental Science and Health Part A Environmental Science and Engineering and Toxicology
- Partner nations
- United StatesSlovakia
In The Last Decade
Quinn Jones
4 papers receiving 78 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 51
- Computer Vision and Pattern Recognition 47
- Radiology, Nuclear Medicine and Imaging 10
- Biomedical Engineering 7
- Health, Toxicology and Mutagenesis 5
Countries citing papers authored by Quinn Jones
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).
Fields of papers citing papers by Quinn Jones
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.
Co-authorship network of co-authors of Quinn Jones
This figure shows the co-authorship network connecting the top 25 collaborators of Quinn Jones. A scholar is included among the top collaborators of Quinn Jones 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 Quinn Jones. Quinn Jones is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Unsupervised Learning of Paired Style Statistics for Unpaired Image Translation | 1 |
| 2 | Few-Shot Adversarial Domain Adaptation | 66 |
| 3 | 5 | |
| 4 | 8 |
About Quinn Jones
Quinn Jones is a scholar working on Computer Graphics and Computer-Aided Design, Pharmacology and Computer Vision and Pattern Recognition, having authored 4 papers that have together received 80 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (2 papers), Drug-Induced Hepatotoxicity and Protection (1 paper) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (47 citations), Artificial Intelligence (51 citations) and Structural Biology (2 citations). Quinn Jones has collaborated with scholars based in United States and Slovakia. Frequent co-authors include Seyed Mehdi Iranmanesh, Saeid Motiian, Gianfranco Doretto, Péter Massányi, R. Toman, George A. Spirou, Mark H. Ellisman and Tom DeFanti. Their work appears in 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.
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.