Marie-Laure Mugnier

34 papers and 442 indexed citations i.

About

Marie-Laure Mugnier is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Marie-Laure Mugnier has authored 34 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 24 papers in Computer Networks and Communications and 9 papers in Signal Processing. Recurrent topics in Marie-Laure Mugnier’s work include Semantic Web and Ontologies (27 papers), Advanced Database Systems and Queries (17 papers) and Logic, Reasoning, and Knowledge (10 papers). Marie-Laure Mugnier is often cited by papers focused on Semantic Web and Ontologies (27 papers), Advanced Database Systems and Queries (17 papers) and Logic, Reasoning, and Knowledge (10 papers). Marie-Laure Mugnier collaborates with scholars based in France, Germany and Australia. Marie-Laure Mugnier's co-authors include Jean-François Baget, Michel Chein, Michel Leclère, Éric Salvat, Michaël Thomazo, Rallou Thomopoulos, Joël Abécassis, Madalina Croitoru, Frithjof Dau and Gerd Stumme and has published in prestigious journals such as Expert Systems with Applications, Artificial Intelligence and Computers and Electronics in Agriculture.

In The Last Decade

Co-authorship network of co-authors of Marie-Laure Mugnier i

Fields of papers citing papers by Marie-Laure Mugnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marie-Laure Mugnier

Since Specialization
Citations

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