Eunika Mercier‐Laurent

21 papers and 84 indexed citations i.

About

Eunika Mercier‐Laurent is a scholar working on Artificial Intelligence, Strategy and Management and Sociology and Political Science. According to data from OpenAlex, Eunika Mercier‐Laurent has authored 21 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Strategy and Management and 1 paper in Sociology and Political Science. Recurrent topics in Eunika Mercier‐Laurent’s work include Semantic Web and Ontologies (3 papers), Natural Language Processing Techniques (2 papers) and Chemistry and Chemical Engineering (1 paper). Eunika Mercier‐Laurent is often cited by papers focused on Semantic Web and Ontologies (3 papers), Natural Language Processing Techniques (2 papers) and Chemistry and Chemical Engineering (1 paper). Eunika Mercier‐Laurent collaborates with scholars based in France, Poland and Türkiye. Eunika Mercier‐Laurent's co-authors include Nicolas Buclet, Lionel Roucoules, Feng Zhang, Peggy Zwolinski, Mieczysław L. Owoc, M. Özgür Kayalıca, Weizhi Meng, Wenjuan Li, João Paulo and Xavier Fernando and has published in prestigious journals such as Journal of Cleaner Production, Knowledge Management Research & Practice and IFIP advances in information and communication technology.

In The Last Decade

Co-authorship network of co-authors of Eunika Mercier‐Laurent i

Fields of papers citing papers by Eunika Mercier‐Laurent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eunika Mercier‐Laurent. 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 Eunika Mercier‐Laurent. The network helps show where Eunika Mercier‐Laurent may publish in the future.

Countries citing papers authored by Eunika Mercier‐Laurent

Since Specialization
Citations

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