Judith Rousseau

299 total papers · 6.9k total citations
88 papers, 1.8k citations indexed

About

Judith Rousseau is a scholar working on Statistics and Probability, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Judith Rousseau has authored 88 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Statistics and Probability, 42 papers in Artificial Intelligence and 17 papers in Astronomy and Astrophysics. Recurrent topics in Judith Rousseau's work include Bayesian Methods and Mixture Models (35 papers), Statistical Methods and Inference (33 papers) and Statistical Methods and Bayesian Inference (25 papers). Judith Rousseau is often cited by papers focused on Bayesian Methods and Mixture Models (35 papers), Statistical Methods and Inference (33 papers) and Statistical Methods and Bayesian Inference (25 papers). Judith Rousseau collaborates with scholars based in France, United Kingdom and Australia. Judith Rousseau's co-authors include Kerrie Mengersen, G. Paturel, C. Petit, G. Theureau, L. Cambrésy, P. Dubois, Ph. Prugniel, M. Brouty, Christian P. Robert and Giovanni Parmigiani and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Judith Rousseau

77 papers receiving 1.7k citations

Hit Papers

HYPERLEDA 2003 2026 2010 2018 2003 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Judith Rousseau 753 510 483 342 157 88 1.8k
Paul I. Nelson 817 1.1× 482 0.9× 145 0.3× 145 0.4× 14 0.1× 38 1.6k
Joel Zinn 488 0.6× 738 1.4× 343 0.7× 302 0.9× 18 0.1× 84 2.0k
Jeffrey D. Scargle 742 1.0× 50 0.1× 116 0.2× 57 0.2× 78 0.5× 60 1.3k
Jianhua Z. Huang 79 0.1× 949 1.9× 396 0.8× 88 0.3× 270 1.7× 67 2.1k
Pavlos Protopapas 526 0.7× 47 0.1× 323 0.7× 199 0.6× 31 0.2× 82 1.6k
Robert L. Wolpert 60 0.1× 637 1.2× 459 1.0× 18 0.1× 75 0.5× 76 2.3k
А. И. Саичев 227 0.3× 34 0.1× 148 0.3× 40 0.1× 123 0.8× 84 1.7k
M. Gelfusa 118 0.2× 40 0.1× 248 0.5× 70 0.2× 42 0.3× 163 1.4k
Peter Milne 1.1k 1.4× 36 0.1× 430 0.9× 74 0.2× 52 0.3× 89 1.9k
Derek Bingham 197 0.3× 265 0.5× 247 0.5× 42 0.1× 11 0.1× 58 1.5k

Countries citing papers authored by Judith Rousseau

Since Specialization
Citations

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

Fields of papers citing papers by Judith Rousseau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judith Rousseau

This figure shows the co-authorship network connecting the top 25 collaborators of Judith Rousseau. A scholar is included among the top collaborators of Judith Rousseau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Judith Rousseau. Judith Rousseau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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