Philippe Laublet

10 papers and 53 indexed citations i.

About

Philippe Laublet is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Philippe Laublet has authored 10 papers receiving a total of 53 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Philippe Laublet’s work include Semantic Web and Ontologies (7 papers), QoS-Aware Web Services Composition and Semantic Matching (4 papers) and Advanced Graph Neural Networks (2 papers). Philippe Laublet is often cited by papers focused on Semantic Web and Ontologies (7 papers), QoS-Aware Web Services Composition and Semantic Matching (4 papers) and Advanced Graph Neural Networks (2 papers). Philippe Laublet collaborates with scholars based in France, Ireland and Finland. Philippe Laublet's co-authors include Milan Stanković, John G. Breslin, Alexandre Passant, Stefan Decker, Uldis Bojārs, Antoine Isaac, Nathalie Aussenac-Gilles and Nathalie Hernández and has published in prestigious journals such as Language Resources and Evaluation, International Journal on Semantic Web and Information Systems and Applied Ontology.

In The Last Decade

Co-authorship network of co-authors of Philippe Laublet i

Fields of papers citing papers by Philippe Laublet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philippe Laublet

Since Specialization
Citations

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