Pierre Alquier

About

Pierre Alquier is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Pierre Alquier has authored 42 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 24 papers in Artificial Intelligence and 13 papers in Computational Mechanics. Recurrent topics in Pierre Alquier’s work include Statistical Methods and Inference (23 papers), Sparse and Compressive Sensing Techniques (13 papers) and Machine Learning and Algorithms (10 papers). Pierre Alquier is often cited by papers focused on Statistical Methods and Inference (23 papers), Sparse and Compressive Sensing Techniques (13 papers) and Machine Learning and Algorithms (10 papers). Pierre Alquier collaborates with scholars based in France, Japan and United Kingdom. Pierre Alquier's co-authors include Nial Friel, Benjamin Guedj, Richard G. Everitt, Olivier Wintenberger, James Ridgway, Mohamed Hebiri, Karim Lounici, Guillaume Lecué, Paul Doukhan and Xiaoyin Li and has published in prestigious journals such as Journal of the American Statistical Association, Physical Review A and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Pierre Alquier i

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Fields of papers citing papers by Pierre Alquier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pierre Alquier

Since Specialization

Citations

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