World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
38
Citations
6008
World Ranking
2346
National Ranking
144

Mathias Drton publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Mathias Drton sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 122 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Mathias Drton D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Mathias Drton sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 38 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2009 - Fellow of Alfred P. Sloan Foundation

Overview

Mathias Drton is affiliated with the Technical University of Munich in Germany. Their research spans multiple fields, focusing mainly on Computer Science and Mathematics.

Their primary areas of study include:

  • Artificial Intelligence
  • Statistics and Probability
  • Molecular Biology
  • Computational Theory and Mathematics
  • Management Science and Operations Research

Drton's main topics of work cover:

  • Bayesian Modeling and Causal Inference
  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Advanced Statistical Methods and Models
  • Gene Regulatory Network Analysis
  • Advanced Causal Inference Techniques

They have published extensively, with frequent publication venues including:

  • arXiv (Cornell University)
  • The Annals of Statistics
  • Bernoulli
  • PLoS Genetics
  • Biometrika

Among their recent papers are:

  • "Genetic and metabolomic architecture of variation in diet restriction-mediated lifespan extension in Drosophila," 2020, PLoS Genetics
  • "Distribution-Free Consistent Independence Tests via Center-Outward Ranks and Signs," 2020, Journal of the American Statistical Association
  • "On the power of Chatterjee's rank correlation," 2021, Biometrika
  • "High-dimensional consistent independence testing with maxima of rank correlations," 2020, The Annals of Statistics
  • "On universally consistent and fully distribution-free rank tests of vector independence," 2022, The Annals of Statistics

Frequent co-authors who have collaborated closely with Drton include:

  • Hongjian Shi
  • Ali Shojaie
  • David Strieder
  • Nils Sturma
  • Shiqing Yu

Drton has received recognition such as the Fellow of Alfred P. Sloan Foundation award in 2009.

Best Publications

  • Extended Bayesian Information Criteria for Gaussian Graphical Models

    Rina Foygel;Mathias Drton

  • Lectures on Algebraic Statistics

    Mathias Drton;Bernd Sturmfels;Seth Sullivant

  • Model selection for Gaussian concentration graphs

    Mathias Drton;Michael D. Perlman

  • Structure Learning in Graphical Modeling

    Mathias Drton;Marloes H. Maathuis

  • Handbook of Graphical Models

    Marloes H. Maathuis;Mathias Drton;Steffen Lauritzen;Martin Wainwright

  • Estimation of a covariance matrix with zeros

    Sanjay Chaudhuri;Mathias Drton;Thomas S. Richardson

  • Multiple Testing and Error Control in Gaussian Graphical Model Selection

    Mathias Drton;Michael D. Perlman

  • Robust graphical modeling of gene networks using classical and alternative t-distributions

    Michael Finegold;Mathias Drton

  • Discrete chain graph models

    Mathias Drton

  • A SINful approach to Gaussian graphical model selection

    Mathias Drton;Michael D. Perlman

  • High-dimensional Ising model selection with Bayesian information criteria

    Rina Foygel Barber;Mathias Drton

  • A Bayesian information criterion for singular models

    Mathias Drton;Martyn Plummer

  • PC algorithm for nonparanormal graphical models

    Naftali Harris;Mathias Drton

  • Likelihood ratio tests and singularities

    Mathias Drton

  • Seat biases of apportionment methods for proportional representation

    Karsten Schuster;Friedrich Pukelsheim;Mathias Drton;Norman R. Draper

  • Algebraic factor analysis: tetrads, pentads and beyond

    Mathias Drton;Bernd Sturmfels;Seth Sullivant

  • Global identifiability of linear structural equation models

    Mathias Drton;Rina Foygel;Seth Sullivant

  • Binary models for marginal independence

    Mathias Drton;Thomas S. Richardson

  • Estimation of High-Dimensional Graphical Models Using Regularized Score Matching.

    Lina Lin;Mathias Drton;Ali Shojaie

  • Half-trek criterion for generic identifiability of linear structural equation models

    Rina Foygel;Jan Draisma;Mathias Drton

  • Multimodality of the likelihood in the bivariate seemingly unrelated regressions model

    Mathias Drton;Thomas S. Richardson

  • Algebraic Factor Analysis: Tetrads, Pentads and Beyond

    Mathias Drton;Bernd Sturmfels;Seth Sullivant

Frequent Co-Authors

Thomas S. Richardson
Thomas S. Richardson University of Washington
Seth Sullivant
Seth Sullivant North Carolina State University
Michael D. Perlman
Michael D. Perlman University of Washington
Bernd Sturmfels
Bernd Sturmfels Max Planck Institute for Mathematics in the Sciences
Marc Hallin
Marc Hallin Université Libre de Bruxelles
John Lafferty
John Lafferty Yale University
Raphael Gottardo
Raphael Gottardo Fred Hutchinson Cancer Research Center
Daniel E. L. Promislow
Daniel E. L. Promislow University of Washington

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