Florian Strub

About

Florian Strub is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Florian Strub has authored 12 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Florian Strub’s work include Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Topic Modeling (3 papers). Florian Strub is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Topic Modeling (3 papers). Florian Strub collaborates with scholars based in United States, France and Canada. Florian Strub's co-authors include Aaron Courville, Harm de Vries, Ethan Perez, Vincent Dumoulin, Tresa M. Pollock, Marie‐Agathe Charpagne, Yoshua Bengio, Nathan Schucher, Olivier Pietquin and Jérémie Mary and has published in prestigious journals such as Materials Characterization, International Conference on Computer Vision and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Co-authorship network of co-authors of Florian Strub i

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Fields of papers citing papers by Florian Strub

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Florian Strub

Since Specialization

Citations

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