Anne Gégout‐Petit

27 papers and 409 indexed citations i.

About

Anne Gégout‐Petit is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Anne Gégout‐Petit has authored 27 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Anne Gégout‐Petit’s work include Statistical Methods and Inference (13 papers), Bayesian Methods and Mixture Models (6 papers) and Statistical Methods in Clinical Trials (4 papers). Anne Gégout‐Petit is often cited by papers focused on Statistical Methods and Inference (13 papers), Bayesian Methods and Mixture Models (6 papers) and Statistical Methods in Clinical Trials (4 papers). Anne Gégout‐Petit collaborates with scholars based in France, United States and Ivory Coast. Anne Gégout‐Petit's co-authors include Daniel Commenges, Benoîte de Saporta, H. Guénard, B. Aguilaniu, Benoît Liquet, Pierre Joly, Christian Piedallu, Jean‐Claude Gégout, Ingrid Seynave and Bernard Bercu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Co-authorship network of co-authors of Anne Gégout‐Petit i

Fields of papers citing papers by Anne Gégout‐Petit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne Gégout‐Petit. 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 Anne Gégout‐Petit. The network helps show where Anne Gégout‐Petit may publish in the future.

Countries citing papers authored by Anne Gégout‐Petit

Since Specialization
Citations

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