Francis Dutil

About

Francis Dutil is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Francis Dutil has authored 6 papers receiving a total of 100 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 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Francis Dutil’s work include Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Francis Dutil is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Francis Dutil collaborates with scholars based in Canada, United States and China. Francis Dutil's co-authors include Aaron Courville, Sai Rajeswar, Sandeep Subramanian, Chris Pal, Qicheng Lao, Thomas Fevens, Mohammad Havaei, Lisa Di Jorio, Yoshua Bengio and Adam Trischler and has published in prestigious journals such as Pattern Recognition, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Francis Dutil i

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Fields of papers citing papers by Francis Dutil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francis Dutil

Since Specialization

Citations

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