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Mathematics
Finland
2026

D-Index & Metrics

Mathematics

D-Index
55
Citations
62230
World Ranking
757
National Ranking
2

Computer Science

D-Index
53
Citations
60851
World Ranking
4668
National Ranking
31

Aki Vehtari 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 Aki Vehtari 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: 230 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Aki Vehtari 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 Aki Vehtari 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: 55 D-Index — 79th percentile

79% 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

  • 2026 - Research.com Mathematics in Finland Leader Award
  • 2025 - Research.com Mathematics in Finland Leader Award

Overview

Aki Vehtari is affiliated with Aalto University in Finland and has contributed extensively to the fields of mathematics and computer science. Their research predominantly spans statistics and probability, with a focus on statistical methods and Bayesian inference.

The scientist's work covers several subfields, including:

  • Statistics and Probability
  • Artificial Intelligence
  • Management Science and Operations Research
  • Statistics, Probability and Uncertainty
  • Molecular Biology

Main topics in Aki Vehtari's research include:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Gaussian Processes and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Markov Chains and Monte Carlo Methods
  • Bayesian Modeling and Causal Inference
  • Advanced Multi-Objective Optimization Algorithms

Vehtari has a record of numerous publications across prominent venues, including the following frequent publication venues:

  • arXiv (Cornell University)
  • Bayesian Analysis
  • Statistics and Computing
  • Computational Statistics
  • bioRxiv (Cold Spring Harbor Laboratory)

Among recent notable papers are:

  • Bayesian Workflow (2020), published in arXiv (Cornell University)
  • Interindividual variability and lateralization of μ-opioid receptors in the human brain (2020), published in NeuroImage
  • Projective inference in high-dimensional problems: Prediction and feature selection (2020), published in Electronic Journal of Statistics
  • Uncertainty in Bayesian Leave-One-Out Cross-Validation Based Model Comparison (2020), published in arXiv (Cornell University)
  • What are the Most Important Statistical Ideas of the Past 50 Years? (2021), published in Journal of the American Statistical Association

Aki Vehtari frequently collaborates with several coauthors, including:

  • Andrew Gelman
  • Jennifer Hill
  • Paul-Christian Bürkner
  • Måns Magnusson
  • Michael Riis Andersen

In addition to articles, Vehtari has published books with Cambridge University Press, including:

  • Regression and Other Stories (2020)
  • Active Statistics (2024)

Best Publications

  • Bayesian Data Analysis

    Andrew Gelman;John B. Carlin;Hal S. Stern;David B. Dunson

  • Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

    Aki Vehtari;Andrew Gelman;Jonah Gabry

  • Understanding predictive information criteria for Bayesian models

    Andrew Gelman;Jessica Hwang;Aki Vehtari

  • One vs three years of adjuvant imatinib for operable gastrointestinal stromal tumor: a randomized trial.

    Heikki Joensuu;Mikael Eriksson;Kirsten Sundby Hall;Jörg T. Hartmann

  • Visualization in Bayesian workflow

    Jonah Gabry;Daniel Simpson;Aki Vehtari;Michael Betancourt

  • R-squared for Bayesian regression models

    Andrew Gelman;Ben Goodrich;Jonah Gabry;Aki Vehtari

  • Regression and Other Stories

    Andrew Gelman;Jennifer Hill;Aki Vehtari

  • Discussion to "Bayesian measures of model complexity and fit" by Spiegelhalter, D.J., Best, N.G., Carlin, B.P., and van der Linde, A.

    Aki Vehtari

  • Discussion of "Using Stacking to Average Bayesian Predictive Distributions" by Yao et. al

    Yuling Yao;Aki Vehtari;Daniel Simpson;Andrew Gelman

  • Sparsity information and regularization in the horseshoe and other shrinkage priors

    Juho Piironen;Aki Vehtari

  • Bayesian approach for neural networks—review and case studies

    Jouko Lampinen;Aki Vehtari

  • A survey of Bayesian predictive methods for model assessment, selection and comparison

    Aki Vehtari;Janne Ojanen

  • Rao-Blackwellized particle filter for multiple target tracking

    Simo Särkkä;Aki Vehtari;Jouko Lampinen

  • Comparison of Bayesian predictive methods for model selection

    Juho Piironen;Aki Vehtari

  • GPstuff: Bayesian modeling with Gaussian processes

    Jarno Vanhatalo;Jaakko Riihimäki;Jouni Hartikainen;Pasi Jylänki

  • Using stacking to average Bayesian predictive distributions

    Yuling Yao;Aki Vehtari;Daniel Simpson;Andrew Gelman

  • Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra.

    Kunal Ghosh;Annika Stuke;Milica Todorović;Peter Bjørn Jørgensen

  • Pareto Smoothed Importance Sampling

    Aki Vehtari;Andrew Gelman;Jonah Gabry

  • Bayesian model assessment and comparison using cross-validation predictive densities

    Aki Vehtari;Jouko Lampinen

  • Validating Bayesian Inference Algorithms with Simulation-Based Calibration

    Sean Talts;Michael Betancourt;Daniel Simpson;Aki Vehtari

  • Hierarchical linear models

    Andrew Gelman;John B. Carlin;Hal S. Stern;David B. Dunson

  • Bayesian Workflow.

    Andrew Gelman;Aki Vehtari;Daniel Simpson;Charles C. Margossian

Frequent Co-Authors

Andrew Gelman
Andrew Gelman Columbia University
Donald B. Rubin
Donald B. Rubin Temple University
John B. Carlin
John B. Carlin University of Melbourne
Simo Särkkä
Simo Särkkä Aalto University
David B. Dunson
David B. Dunson Duke University
Samuel Kaski
Samuel Kaski Aalto University
Mikko Sams
Mikko Sams Aalto University
Heikki Joensuu
Heikki Joensuu University of Helsinki
Matti Hämäläinen
Matti Hämäläinen Harvard Medical School
Iiro P. Jääskeläinen
Iiro P. Jääskeläinen Aalto University

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