Valentin Gabeur

About

Valentin Gabeur is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Valentin Gabeur has authored 3 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Computational Mechanics. Recurrent topics in Valentin Gabeur’s work include Human Pose and Action Recognition (2 papers), Video Analysis and Summarization (1 paper) and Speech and Audio Processing (1 paper). Valentin Gabeur is often cited by papers focused on Human Pose and Action Recognition (2 papers), Video Analysis and Summarization (1 paper) and Speech and Audio Processing (1 paper). Valentin Gabeur collaborates with scholars based in United States, France and South Korea. Valentin Gabeur's co-authors include Cordelia Schmid, Jean-Sébastien Franco, Grégory Rogez, Xavier Martín, Arsha Nagrani, Karteek Alahari, Chen Sun, Paul Hongsuck Seo and Chen Sun and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Interspeech 2022 and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Co-authorship network of co-authors of Valentin Gabeur i

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Fields of papers citing papers by Valentin Gabeur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Valentin Gabeur

Since Specialization

Citations

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