Judith Rousseau

7.0k total citations · 1 hit paper
87 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 87 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Statistics and Probability, 40 papers in Artificial Intelligence and 17 papers in Astronomy and Astrophysics. Recurrent topics in Judith Rousseau's work include Bayesian Methods and Mixture Models (34 papers), Statistical Methods and Inference (31 papers) and Statistical Methods and Bayesian Inference (25 papers). Judith Rousseau is often cited by papers focused on Bayesian Methods and Mixture Models (34 papers), Statistical Methods and Inference (31 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, P. Dubois, Ph. Prugniel, L. Cambrésy, 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

76 papers receiving 1.7k citations

Hit Papers

HYPERLEDA 2003 2026 2010 2018 2003 100 200 300 400

Peers

Judith Rousseau
Paul I. Nelson United States
Joel Zinn United States
Jianhua Z. Huang United States
G. Fasano Italy
Tamás Budavári United States
Judith Rousseau
Citations per year, relative to Judith Rousseau Judith Rousseau (= 1×) peers Małgorzata Bogdan

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

20 of 20 papers shown
1.
Rousseau, Judith, et al.. (2024). Asymptotic analysis of statistical estimators related to MultiGraphex processes under misspecification. Bernoulli. 30(4). 1 indexed citations
2.
Mengersen, Kerrie, et al.. (2021). Simple discrete-time self-exciting models can describe complex dynamic processes: A case study of COVID-19. PLoS ONE. 16(4). e0250015–e0250015. 8 indexed citations
3.
Caron, François & Judith Rousseau. (2017). On sparsity and power-law properties of graphs based on exchangeable point processes. arXiv (Cornell University). 2 indexed citations
4.
Alquier, Pierre, et al.. (2014). Bayesian matrix completion: prior specification and consistency. arXiv (Cornell University). 2 indexed citations
5.
Rousseau, Judith, et al.. (2014). On Convergence Rates of Empirical Bayes Procedures. RePEc: Research Papers in Economics. 1–6.
6.
Castillo, Ismaël & Judith Rousseau. (2013). A General Bernstein--von Mises Theorem in semiparametric models. arXiv (Cornell University). 10 indexed citations
7.
Rousseau, Judith, Kerrie Mengersen, & R. McVinish. (2011). Bayesian Mixtures of Triangular distributions with application to Goodness-of-Fit Testing. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 1 indexed citations
8.
Fraser, D. A. S. & Judith Rousseau. (2011). Developing p-values: a Bayesian-frequentist convergence. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine).
9.
Rousseau, Judith, et al.. (2010). Bayesian Nonparametric Inference of Decreasing Densities. RePEc: Research Papers in Economics.
10.
Gelman, Andrew, Christian P. Robert, & Judith Rousseau. (2010). Do we need an integrated Bayesian/likelihood inference?. arXiv (Cornell University). 1 indexed citations
11.
Guihenneuc‐Jouyaux, Chantal, et al.. (2010). Use in practice of importance sampling for repeated MCMC for Poisson models. Electronic Journal of Statistics. 4(none). 5 indexed citations
12.
Albert, Isabelle, et al.. (2008). Quantitative Risk Assessment from Farm to Fork and Beyond: A Global Bayesian Approach Concerning Food‐Borne Diseases. Risk Analysis. 28(2). 557–571. 50 indexed citations
13.
Guihenneuc‐Jouyaux, Chantal & Judith Rousseau. (2005). Laplace Expansions in Markov chain Monte Carlo Algorithms. Journal of Computational and Graphical Statistics. 14(1). 75–94. 2 indexed citations
14.
Rousseau, Judith, et al.. (2003). Valid asymptotic expansions for the maximum likelihood estimator of the parameter of a stationary, Gaussian, strongly dependent process. HAL (Le Centre pour la Communication Scientifique Directe). 18 indexed citations
15.
Philippe, Anne & Judith Rousseau. (2002). Non-informative priors in the case of Gaussian long-memory processes. Bernoulli. 8(4). 451–473. 4 indexed citations
16.
Rousseau, Judith, et al.. (1996). Validation québécoise de l'échelle d'acceptation de la limitation physique (ALP) de Linkowski.. 46(3). 219–224. 2 indexed citations
17.
Maurice, É., J. Andersen, A. Ardeberg, et al.. (1987). Radial velocities of southern stars obtained with the photoelectric scanner CORAVEL. VI: 233 F to M type stars in and near the Small Magellanic Cloud. Comparison with 80 spectrographic radial velocities of O to K type stars in this galaxy. Astronomy & Astrophysics Supplement Series. 67(3). 423–445. 3 indexed citations
18.
Prévôt, L., J. Andersen, A. Ardeberg, et al.. (1985). Radial velocities of southern stars obtained with the photoelectric scanner CORAVEL. V: 404 F to M supergiant stars in the Large Magellanic Cloud. Astronomy & Astrophysics Supplement Series. 62(1). 23–37. 1 indexed citations
19.
Prévôt, L., et al.. (1983). A catalogue of late-type supergiant stars in the Small Magellanic Cloud.. 53. 255–269. 1 indexed citations
20.
Rousseau, Judith, et al.. (1978). Studies of the Large Magellanic Cloud stellar content: III. Spectral types and V magnitudes of 1822 members.. 31. 243. 1 indexed citations

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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