Mathias Drton

4.5k total citations · 1 hit paper
86 papers, 2.1k citations indexed

About

Mathias Drton is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Mathias Drton has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 48 papers in Statistics and Probability and 15 papers in Molecular Biology. Recurrent topics in Mathias Drton's work include Bayesian Modeling and Causal Inference (39 papers), Statistical Methods and Inference (27 papers) and Statistical Methods and Bayesian Inference (18 papers). Mathias Drton is often cited by papers focused on Bayesian Modeling and Causal Inference (39 papers), Statistical Methods and Inference (27 papers) and Statistical Methods and Bayesian Inference (18 papers). Mathias Drton collaborates with scholars based in United States, Germany and Canada. Mathias Drton's co-authors include Rina Foygel, Michael D. Perlman, Seth Sullivant, Bernd Sturmfels, Thomas S. Richardson, Martyn Plummer, Niko Beerenwinkel, Subhajyoti Chaudhuri, Fang Han and Luca Weihs and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Molecular Biology and Evolution.

In The Last Decade

Mathias Drton

78 papers receiving 2.0k citations

Hit Papers

Extended Bayesian Information Criteria for Gaussian Graph... 2010 2026 2015 2020 2010 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Extended Bayesian Information Criteria for Gaussian Graphical Models
    2010 449 citations Rina Foygel, Mathias Drton arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mathias Drton United States 22 732 681 327 315 302 86 2.1k
Adrian Dobra United States 23 587 0.8× 506 0.7× 542 1.7× 33 0.1× 134 0.4× 59 2.1k
Michael D. Perlman United States 27 940 1.3× 1.2k 1.8× 365 1.1× 39 0.1× 229 0.8× 105 2.8k
Yuguo Chen United States 22 453 0.6× 223 0.3× 102 0.3× 64 0.2× 138 0.5× 91 1.5k
Peter H. Schönemann United States 22 613 0.8× 320 0.5× 95 0.3× 257 0.8× 175 0.6× 57 3.2k
Brian Fisher United Kingdom 30 349 0.5× 113 0.2× 48 0.1× 109 0.3× 279 0.9× 226 3.2k
Willem J. Heiser Netherlands 31 355 0.5× 345 0.5× 61 0.2× 426 1.4× 110 0.4× 86 2.6k
Keith Bush United States 14 298 0.4× 154 0.2× 79 0.2× 110 0.3× 255 0.8× 42 1.7k
Richard C. Jeffrey United States 21 1.2k 1.6× 149 0.2× 47 0.1× 546 1.7× 452 1.5× 67 3.1k
Marloes H. Maathuis Switzerland 20 832 1.1× 453 0.7× 412 1.3× 68 0.2× 98 0.3× 48 2.0k
James Franklin Australia 12 394 0.5× 84 0.1× 86 0.3× 95 0.3× 83 0.3× 88 1.6k

Countries citing papers authored by Mathias Drton

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Drton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Drton

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Drton. A scholar is included among the top collaborators of Mathias Drton 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 Mathias Drton. Mathias Drton 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.
Drton, Mathias, et al.. (2025). Identifying total causal effects in linear models under partial homoscedasticity. International Journal of Approximate Reasoning. 183. 109455–109455.
2.
Drton, Mathias, et al.. (2024). Testing many constraints in possibly irregular models using incomplete U-statistics. Journal of the Royal Statistical Society Series B (Statistical Methodology). 86(4). 987–1012. 2 indexed citations
3.
Drton, Mathias, et al.. (2024). Rational maximum likelihood estimators of Kronecker covariance matrices. mediaTUM (Technical University of Munich). 15(1). 145–164.
4.
Drton, Mathias, et al.. (2024). On Azadkia–Chatterjee’s conditional dependence coefficient. Bernoulli. 30(2). 5 indexed citations
5.
Drton, Mathias, et al.. (2023). Confidence in causal inference under structure uncertainty in linear causal models with equal variances. SHILAP Revista de lepidopterología. 11(1). 3 indexed citations
6.
Drton, Mathias, et al.. (2021). CorDiffViz: an R package for visualizing multi-omics differential correlation networks. BMC Bioinformatics. 22(1). 486–486. 4 indexed citations
7.
Leung, Dennis & Mathias Drton. (2015). Testing independence in high dimensions with sums of squares of rank correlations. arXiv (Cornell University). 3 indexed citations
8.
Kwok, Heemun, Jason Coult, Mathias Drton, Thomas D. Rea, & Lawrence Sherman. (2015). Adaptive rhythm sequencing: A method for dynamic rhythm classification during CPR. Resuscitation. 91. 26–31. 20 indexed citations
9.
Drton, Mathias, et al.. (2013). PC algorithm for nonparanormal graphical models. Journal of Machine Learning Research. 14(1). 3365–3383. 60 indexed citations
10.
Foygel, Rina & Mathias Drton. (2010). Exact block-wise optimization in group lasso for linear regression. arXiv (Cornell University). 3 indexed citations
11.
Drton, Mathias, et al.. (2010). Robust Graphical Modeling with Classical and Alternative T-Distributions. arXiv (Cornell University). 5 indexed citations
12.
Drton, Mathias, et al.. (2009). Robust graphical modeling with t -distributions. mediaTUM (Technical University of Munich). 169–176. 4 indexed citations
13.
Drton, Mathias. (2009). Likelihood ratio tests and singularities. The Annals of Statistics. 37(2). 61 indexed citations
14.
Drton, Mathias & Thomas S. Richardson. (2008). Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models. Journal of Machine Learning Research. 9(29). 893–914. 14 indexed citations
15.
Beerenwinkel, Niko & Mathias Drton. (2006). A mutagenetic tree hidden Markov model for longitudinal clonal HIV sequence data. Biostatistics. 8(1). 53–71. 31 indexed citations
16.
Pachter, Lior, Radu Mihaescu, Michael Joswig, et al.. (2005). Algebraic Statistics for Computational Biology. Cambridge University Press eBooks. 245 indexed citations
17.
Drton, Mathias & Michael D. Perlman. (2005). A SINful Approach to Gaussian Graphical Model Selection. arXiv (Cornell University). 7 indexed citations
18.
Drton, Mathias. (2005). Computing all roots of the likelihood equations of seemingly unrelated regressions. Journal of Symbolic Computation. 41(2). 245–254. 8 indexed citations
19.
Drton, Mathias & Thomas S. Richardson. (2004). Iterative conditional fitting for Gaussian ancestral graph models. arXiv (Cornell University). 130–137. 18 indexed citations
20.
Drton, Mathias & Udo Schwingenschlögl. (2003). On Methods for Rounding Probabilities and Other Fractions. SSRN Electronic Journal. 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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