Francis Dutil

30 total papers · 1.0k total citations
9 papers, 124 citations indexed

About

Francis Dutil is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Francis Dutil has authored 9 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Francis Dutil's work include Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Topic Modeling (3 papers). Francis Dutil is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Topic Modeling (3 papers). Francis Dutil collaborates with scholars based in Canada, United States and United Kingdom. Francis Dutil's co-authors include Chris Pal, Sai Rajeswar, Sandeep Subramanian, Aaron Courville, Qicheng Lao, Thomas Fevens, Mohammad Havaei, Lisa Di Jorio, Yoshua Bengio and Çaǧlar Gülçehre and has published in prestigious journals such as Pattern Recognition, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Francis Dutil

9 papers receiving 118 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Francis Dutil	82	72	7	6	5	9	124
Kibok Lee	61 0.7×	62 0.9×	4 0.6×	5 0.8×	3 0.6×	8	105
Tongzheng Ren	53 0.6×	71 1.0×	4 0.6×	5 0.8×	7 1.4×	10	117
Christos Louizos	118 1.4×	51 0.7×	3 0.4×	8 1.3×	5 1.0×	12	144
Jaehong Yoon	80 1.0×	54 0.8×	7 1.0×	4 0.7×	4 0.8×	6	112
Valentin Khrulkov	94 1.1×	76 1.1×	4 0.6×	15 2.5×	4 0.8×	9	149
Zikang Liu	52 0.6×	58 0.8×	6 0.9×	8 1.3×	2 0.4×	10	96
Donghyun Kwak	103 1.3×	69 1.0×	3 0.4×	6 1.0×	2 0.4×	10	140
Jiri Hron	86 1.0×	30 0.4×	4 0.6×	2 0.3×	7 1.4×	9	109
Vikash Sehwag	75 0.9×	32 0.4×	4 0.6×	20 3.3×	2 0.4×	11	107
Jonas Geiping	51 0.6×	84 1.2×	6 0.9×	13 2.2×	3 0.6×	13	144

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).

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.

Co-authorship network of co-authors of Francis Dutil

This figure shows the co-authorship network connecting the top 25 collaborators of Francis Dutil. A scholar is included among the top collaborators of Francis Dutil 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 Francis Dutil. Francis Dutil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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