Ophélie Lacroix

9 papers and 48 indexed citations i.

About

Ophélie Lacroix is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Ophélie Lacroix has authored 9 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 1 paper in Management Science and Operations Research and 1 paper in Information Systems. Recurrent topics in Ophélie Lacroix’s work include Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Text Readability and Simplification (3 papers). Ophélie Lacroix is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Text Readability and Simplification (3 papers). Ophélie Lacroix collaborates with scholars based in Denmark, United Kingdom and United States. Ophélie Lacroix's co-authors include Anders Søgaard, Chloé Braud, Guillaume Wisniewski, François Yvon, Helen Yannakoudakis, Marek Rei, Maria Barrett, Hieu Lam, Katharina Kann and Barbara Plank and has published in prestigious journals such as Research Portal Denmark, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Ophélie Lacroix i

Fields of papers citing papers by Ophélie Lacroix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ophélie Lacroix

Since Specialization
Citations

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