Catherine Matias

1.8k total citations
37 papers, 897 citations indexed

About

Catherine Matias is a scholar working on Artificial Intelligence, Statistics and Probability and Statistical and Nonlinear Physics. According to data from OpenAlex, Catherine Matias has authored 37 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Statistics and Probability and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Catherine Matias's work include Bayesian Methods and Mixture Models (16 papers), Statistical Methods and Inference (10 papers) and Complex Network Analysis Techniques (8 papers). Catherine Matias is often cited by papers focused on Bayesian Methods and Mixture Models (16 papers), Statistical Methods and Inference (10 papers) and Complex Network Analysis Techniques (8 papers). Catherine Matias collaborates with scholars based in France, Italy and Brazil. Catherine Matias's co-authors include Vincent Mièle, John A. Rhodes, Elizabeth S. Allman, Christophe Ambroise, Randal Douc, Stéphane Robin, Cristina Butucea, Stéphane Cruveiller, Mathieu Dubois and Alexandra Calteau and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Systematic Biology.

In The Last Decade

Catherine Matias

37 papers receiving 861 citations

Peers

Catherine Matias

SNP

FINAN

Gesine Reinert United Kingdom

Devdatt Dubhashi Sweden

Timo Koski Sweden

David W. Boyd Canada

Ronald Meester Netherlands

Andrew D. Barbour Switzerland

P. K. Pollett Australia

Karl Rohe United States

Tobias Rydén Sweden

Elizabeth S. Allman United States

Gesine Reinert United Kingdom

Catherine Matias

420 ×1.3

317 ×1.2

307 ×1.6

SNP

880 ×5.0

107 ×1.9

FINAN

Citations per year, relative to Catherine Matias Catherine Matias (= 1×) peers Gesine Reinert

Countries citing papers authored by Catherine Matias

Since Specialization

Citations

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

Fields of papers citing papers by Catherine Matias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Matias

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Matias. A scholar is included among the top collaborators of Catherine Matias 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 Catherine Matias. Catherine Matias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Matias, Catherine, et al.. (2024). Comparison of modularity-based approaches for nodes clustering in hypergraphs. SHILAP Revista de lepidopterología. 4. 4 indexed citations

Matias, Catherine, et al.. (2024). Model‐based clustering in simple hypergraphs through a stochastic blockmodel. Scandinavian Journal of Statistics. 51(4). 1661–1684. 1 indexed citations

Botella, Christophe, Stéphane Dray, Catherine Matias, Vincent Mièle, & Wilfried Thuiller. (2021). An appraisal of graph embeddings for comparing trophic network architectures. Methods in Ecology and Evolution. 13(1). 203–216. 5 indexed citations

Matias, Catherine. (2021). Spectral density of random graphs: convergence properties and application in model fitting. arXiv (Cornell University). 3 indexed citations

Gautreau, Guillaume, Adelme Bazin, Rémi Planel, et al.. (2020). PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph. PLoS Computational Biology. 16(3). e1007732–e1007732. 121 indexed citations

Kuhn, Estelle, et al.. (2020). Properties of the stochastic approximation EM algorithm with mini-batch sampling. Statistics and Computing. 30(6). 1725–1739. 8 indexed citations

Mièle, Vincent, Catherine Matias, Stéphane Robin, & Stéphane Dray. (2019). Nine quick tips for analyzing network data. PLoS Computational Biology. 15(12). e1007434–e1007434. 15 indexed citations

Kuhn, Estelle, et al.. (2019). Properties of the Stochastic Approximation EM Algorithm with Mini-batch Sampling. arXiv (Cornell University). 1 indexed citations

Matias, Catherine, et al.. (2018). Exploring the Robustness of the Parsimonious Reconciliation Method in Host-Symbiont Cophylogeny. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(3). 738–748. 3 indexed citations

10.

Matias, Catherine, et al.. (2015). Hidden Markov model for parameter estimation of a random walk in a Markov environment. ESAIM Probability and Statistics. 19. 605–625. 5 indexed citations

11.

Matias, Catherine & Stéphane Robin. (2014). Modeling heterogeneity in random graphs through latent space models: a\n selective review. SHILAP Revista de lepidopterología. 45 indexed citations

12.

Matias, Catherine & Stéphane Robin. (2014). Modeling heterogeneity in random graphs: a selective review. arXiv (Cornell University). 2 indexed citations

13.

Matias, Catherine, et al.. (2014). Asymptotic normality and efficiency of the maximum likelihood estimator for the parameter of a ballistic random walk in a random environment. Mathematical Methods of Statistics. 23(1). 1–19. 7 indexed citations

14.

Matias, Catherine & Stéphane Robin. (2014). Modeling heterogeneity in random graphs through latent space models: a selective review. ESAIM Proceedings and Surveys. 47. 55–74. 1 indexed citations

15.

Comets, Francis, et al.. (2013). Maximum likelihood estimator consistency for a ballistic random walk in a parametric random environment. Stochastic Processes and their Applications. 124(1). 268–288. 10 indexed citations

16.

Ambroise, Christophe & Catherine Matias. (2011). New Consistent and Asymptotically Normal Parameter Estimates for Random-Graph Mixture Models. Journal of the Royal Statistical Society Series B (Statistical Methodology). 74(1). 3–35. 36 indexed citations

17.

Gerencsér, László, et al.. (2008). Self-exciting point processes with applications in finance and medicine. SZTAKI Publication Repository (Hungarian Academy of Sciences). 4 indexed citations

18.

Chambaz, Antoine & Catherine Matias. (2008). Number of hidden states and memory: a joint order estimation problem for Markov chains with Markov regime. ESAIM Probability and Statistics. 13. 38–50. 3 indexed citations

19.

Chiquet, Julien, et al.. (2008). SIMoNe: Statistical Inference for MOdular NEtworks. Bioinformatics. 25(3). 417–418. 19 indexed citations

20.

Castillo, Ismaël, Céline Lévy‐Leduc, & Catherine Matias. (2006). Exact adaptive estimation of the shape of a periodic function with unknown period corrupted by white noise. Mathematical Methods of Statistics. 15(2). 146–175. 3 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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