Laure Soulier

22 papers and 91 indexed citations i.

About

Laure Soulier is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Laure Soulier has authored 22 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Information Systems and 3 papers in Sociology and Political Science. Recurrent topics in Laure Soulier’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Information Retrieval and Search Behavior (5 papers). Laure Soulier is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Information Retrieval and Search Behavior (5 papers). Laure Soulier collaborates with scholars based in France, Italy and United Kingdom. Laure Soulier's co-authors include Lynda Tamine, Benjamin Piwowarski, Patrick Gallinari, Patrick Gallinari, R. Cancelliere, Sylvain Lamprier, Thomas Scialom, Chirag Shah, Nicola Ferro and Jian‐Yun Nie and has published in prestigious journals such as ACM Computing Surveys, Information Processing & Management and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Laure Soulier i

Fields of papers citing papers by Laure Soulier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laure Soulier

Since Specialization
Citations

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