Aurélie Herbelot

25 papers and 171 indexed citations i.

About

Aurélie Herbelot is a scholar working on Artificial Intelligence, Cultural Studies and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aurélie Herbelot has authored 25 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 5 papers in Cultural Studies and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aurélie Herbelot’s work include Topic Modeling (21 papers), Natural Language Processing Techniques (20 papers) and Language and cultural evolution (5 papers). Aurélie Herbelot is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (20 papers) and Language and cultural evolution (5 papers). Aurélie Herbelot collaborates with scholars based in Italy, United Kingdom and Germany. Aurélie Herbelot's co-authors include Marco Baroni, Gemma Boleda, Jan Šnajder, Sebastian Padó, Ann Copestake, Sandro Pezzelle, Raffaella Bernardi, Kristina Gulordava, Ekaterina Kochmar and Angeliki Lazaridou and has published in prestigious journals such as Frontiers in Psychology, Computational Linguistics and Synthese.

In The Last Decade

Co-authorship network of co-authors of Aurélie Herbelot i

Fields of papers citing papers by Aurélie Herbelot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aurélie Herbelot

Since Specialization
Citations

This map shows the geographic impact of Aurélie Herbelot'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 Aurélie Herbelot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélie Herbelot 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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2025