Mathias Drton
Impact in
- Computational Mathematics top 2%
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
Papers in
-
- Bayesian Modeling and Causal Inference 39
- Bayesian Methods and Mixture Models 12
-
- Statistical Methods and Inference 27
- Statistical Methods and Bayesian Inference 18
- Advanced Statistical Methods and Models 15
- Co-authors
- Rina Foygel (4 shared papers)Michael D. Perlman (5 shared papers)Seth Sullivant (2 shared papers)Bernd Sturmfels (1 shared paper)Thomas S. Richardson (5 shared papers)Martyn Plummer (1 shared paper)Niko Beerenwinkel (2 shared papers)Subhajyoti Chaudhuri (1 shared paper)
- Journals
- Biometrika (7 papers)The Annals of Statistics (7 papers)Electronic Journal of Statistics (4 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (3 papers)Bernoulli (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Mathias Drton
78 papers receiving 2.0k citations
Mathias Drton's Hit Papers
Peers
Comparison fields: 5 of 155
- Computational Mathematics 58
- Statistics and Probability 681
- Discrete Mathematics and Combinatorics 82
- Experimental and Cognitive Psychology 315
- Artificial Intelligence 732
Countries citing papers authored by Mathias Drton
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
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-authors
The 25 scholars most cited alongside Mathias Drton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Extended Bayesian Information Criteria for Gaussian Graphical Models Hit paper breakdown → | 2010 | 449 |
| 2 | 2005 | 245 | |
| 3 | 2009 | 170 | |
| 4 | 2004 | 99 | |
| 5 | 2017 | 70 | |
| 6 | 2007 | 69 | |
| 7 | 2007 | 67 | |
| 8 | 2009 | 61 | |
| 9 | 2013 | 60 | |
| 10 | 2007 | 53 | |
| 11 | 2020 | 48 | |
| 12 | 2003 | 45 | |
| 13 | 2020 | 35 | |
| 14 | 2008 | 33 | |
| 15 | 2004 | 32 | |
| 16 | 2006 | 31 | |
| 17 | 2018 | 31 | |
| 18 | 2011 | 31 | |
| 19 | 2021 | 27 | |
| 20 | 2017 | 24 |
About Mathias Drton
Mathias Drton is a scholar working on Artificial Intelligence, Statistics and Probability, Molecular Biology, Computational Theory and Mathematics and Signal Processing, having authored 86 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (39 papers), Statistical Methods and Inference (27 papers), Statistical Methods and Bayesian Inference (18 papers), Advanced Statistical Methods and Models (15 papers), Bayesian Methods and Mixture Models (12 papers), Gene Regulatory Network Analysis (7 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Computational Mathematics (58 citations), Statistics and Probability (681 citations), Discrete Mathematics and Combinatorics (82 citations), Experimental and Cognitive Psychology (315 citations) and Artificial Intelligence (732 citations). Mathias Drton has collaborated with scholars based in United States, Germany and Canada. Frequent 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. Their work appears in journals such as Biometrika, The Annals of Statistics, Electronic Journal of Statistics, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Bernoulli.
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.