Céline Hudelot

31 papers and 929 indexed citations i.

About

Céline Hudelot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Céline Hudelot has authored 31 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mechanics. Recurrent topics in Céline Hudelot’s work include Image Retrieval and Classification Techniques (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Semantic Web and Ontologies (6 papers). Céline Hudelot is often cited by papers focused on Image Retrieval and Classification Techniques (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Semantic Web and Ontologies (6 papers). Céline Hudelot collaborates with scholars based in France, Italy and United States. Céline Hudelot's co-authors include Myriam Tami, Yassine Ouali, Isabelle Bloch, Jamal Atif, Guillaume Lavoué, Florent Dupont, Jacqueline Nadel, Hervé Le Borgne, Pierre Alliez and Mohamed Tamaazousti and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Computing Surveys and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Céline Hudelot i

Fields of papers citing papers by Céline Hudelot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Céline Hudelot

Since Specialization
Citations

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