Victor Sanh

About

Victor Sanh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Victor Sanh has authored 8 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Victor Sanh’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Victor Sanh is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Victor Sanh collaborates with scholars based in United States, France and Austria. Victor Sanh's co-authors include Sebastian Ruder, Thomas Wolf, Alexander M. Rush, Hanspeter Pfister, Albert Webson, Johanna Beyer, Hendrik Strobelt, Benjamin Hoover, Iryna Gurevych and Nafise Sadat Moosavi and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Victor Sanh i

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Fields of papers citing papers by Victor Sanh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Victor Sanh

Since Specialization

Citations

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