Maud Delattre

23 papers and 462 indexed citations i.

About

Maud Delattre is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Maud Delattre has authored 23 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Maud Delattre’s work include Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers). Maud Delattre is often cited by papers focused on Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers). Maud Delattre collaborates with scholars based in France, United States and Luxembourg. Maud Delattre's co-authors include Marc Lavielle, Tristan Mary‐Huard, Céline Lévy‐Leduc, Stéphane Robin, Valentine Genon‐Catalot, Adeline Samson, Andrew Mashchak, Marion Tharrey, Pierre Barbillon and Gary E. Fraser and has published in prestigious journals such as Bioinformatics, Scientific Reports and International Journal of Epidemiology.

In The Last Decade

Co-authorship network of co-authors of Maud Delattre i

Fields of papers citing papers by Maud Delattre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maud Delattre

Since Specialization
Citations

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