Valentin Gabeur

789 total citations
2 papers, 9 citations indexed

About

Valentin Gabeur is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Valentin Gabeur has authored 2 papers receiving a total of 9 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Signal Processing and 1 paper in Computational Mechanics. Recurrent topics in Valentin Gabeur's work include Advanced Vision and Imaging (1 paper), 3D Shape Modeling and Analysis (1 paper) and Speech and Audio Processing (1 paper). Valentin Gabeur is often cited by papers focused on Advanced Vision and Imaging (1 paper), 3D Shape Modeling and Analysis (1 paper) and Speech and Audio Processing (1 paper). Valentin Gabeur collaborates with scholars based in France, United States and South Korea. Valentin Gabeur's co-authors include Chen Sun, Cordelia Schmid, Jean-Sébastien Franco, Grégory Rogez, Paul Hongsuck Seo, Arsha Nagrani and Karteek Alahari and has published in prestigious journals such as arXiv (Cornell University) and Interspeech 2022.

In The Last Decade

Valentin Gabeur

2 papers receiving 9 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Valentin Gabeur France	2	5	5	4	1	1	2	9
Yijun Yang China	3	6 1.2×	4 0.8×	4 1.0×			5	12
George Fazekas United Kingdom	2	4 0.8×	5 1.0×	3 0.8×			2	6
Siddheshwar S. Gangonda India	3	8 1.6×	4 0.8×	3 0.8×			3	25
Connie Brand Brazil	1	5 1.0×	5 1.0×	3 0.8×		1 1.0×	2	5
Lean Wang China	2	6 1.2×	3 0.6×	7 1.8×			3	13
Y. Zhou China	2	10 2.0×	3 0.6×	5 1.3×			2	19
Yusra Ahmed Salih Iraq	3	6 1.2×	2 0.4×	3 0.8×			3	8
Z. Y. Zhang China	2	7 1.4×	2 0.4×	6 1.5×	1 1.0×		6	19
Isaac Noble United States	2	3 0.6×	2 0.4×	3 0.8×			3	6

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).

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.

Co-authorship network of co-authors of Valentin Gabeur

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

All Works

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2 of 2 papers shown

1.

Gabeur, Valentin, Paul Hongsuck Seo, Arsha Nagrani, et al.. (2022). AVATAR: Unconstrained Audiovisual Speech Recognition. Interspeech 2022. 2818–2822. 6 indexed citations

2.

Gabeur, Valentin, et al.. (2019). Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single Images. arXiv (Cornell University). 2232–2241. 3 indexed citations

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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