Michel Leclère

13 papers and 184 indexed citations i.

About

Michel Leclère is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Michel Leclère has authored 13 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 5 papers in Signal Processing. Recurrent topics in Michel Leclère’s work include Semantic Web and Ontologies (12 papers), Advanced Database Systems and Queries (10 papers) and Data Management and Algorithms (5 papers). Michel Leclère is often cited by papers focused on Semantic Web and Ontologies (12 papers), Advanced Database Systems and Queries (10 papers) and Data Management and Algorithms (5 papers). Michel Leclère collaborates with scholars based in France and Germany. Michel Leclère's co-authors include Marie-Laure Mugnier, Jean-François Baget, Éric Salvat, Michaël Thomazo, J. Bonnet, Violaine Moreau, Sarah Guiziou, Michel Chein, Sophie Tison and Pierre Bourhis and has published in prestigious journals such as Artificial Intelligence, ACS Synthetic Biology and Applied Intelligence.

In The Last Decade

Co-authorship network of co-authors of Michel Leclère i

Fields of papers citing papers by Michel Leclère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michel Leclère

Since Specialization
Citations

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