Jean-Cédric Chappelier

14 papers and 177 indexed citations i.

About

Jean-Cédric Chappelier is a scholar working on Artificial Intelligence, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Jean-Cédric Chappelier has authored 14 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Jean-Cédric Chappelier’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Algorithms and Data Compression (3 papers). Jean-Cédric Chappelier is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Algorithms and Data Compression (3 papers). Jean-Cédric Chappelier collaborates with scholars based in Switzerland, United States and Czechia. Jean-Cédric Chappelier's co-authors include David Gfeller, Paolo De Los Rios, Horst Bunke, Matthias Zimmermann, Martin Rajman, Sean Hill, Romaric Besançon, Martin Telefont, Eduardo García Sánchez and Manuel Vilares Ferro and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Neural Computation.

In The Last Decade

Co-authorship network of co-authors of Jean-Cédric Chappelier i

Fields of papers citing papers by Jean-Cédric Chappelier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Cédric Chappelier. 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 Jean-Cédric Chappelier. The network helps show where Jean-Cédric Chappelier may publish in the future.

Countries citing papers authored by Jean-Cédric Chappelier

Since Specialization
Citations

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