Robin Strudel

About

Robin Strudel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Robin Strudel has authored 4 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Robin Strudel’s work include Multimodal Machine Learning Applications (3 papers), Reinforcement Learning in Robotics (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Robin Strudel is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Reinforcement Learning in Robotics (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Robin Strudel collaborates with scholars based in France. Robin Strudel's co-authors include Cordelia Schmid, Ivan Laptev, Ricardo García, Igor Kalevatykh, Josef Šivic and Shizhe Chen and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Co-authorship network of co-authors of Robin Strudel i

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Fields of papers citing papers by Robin Strudel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Robin Strudel

Since Specialization

Citations

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