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Aki Vehtari

Active 1999–2026

141
Papers
22,673
Citations
51
h-index
103
i10-index

Citations

Citations per year for Aki Vehtari1999: 2 citations2000: 12 citations2001: 9 citations2002: 8 citations2003: 13 citations2004: 13 citations2005: 25 citations2006: 29 citations2007: 46 citations2008: 38 citations2009: 71 citations2010: 62 citations2011: 56 citations2012: 86 citations2013: 87 citations2014: 127 citations2015: 133 citations2016: 169 citations2017: 206 citations2018: 270 citations2019: 506 citations2020: 723 citations2021: 835 citations2022: 669 citations2023: 619 citations2024: 733 citations2025: 486 citations2026: 158 citations

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,709 citing papers, 21.4% of this breakdownUnited Kingdom: 853 citing papers, 10.7% of this breakdownGermany: 564 citing papers, 7% of this breakdownChina: 513 citing papers, 6.4% of this breakdownAustralia: 314 citing papers, 3.9% of this breakdownFinland: 311 citing papers, 3.9% of this breakdownFrance: 295 citing papers, 3.7% of this breakdownCanada: 282 citing papers, 3.5% of this breakdownNetherlands: 248 citing papers, 3.1% of this breakdownItaly: 238 citing papers, 3% of this breakdownSwitzerland: 219 citing papers, 2.7% of this breakdownSpain: 204 citing papers, 2.5% of this breakdown
0%21.4%Other 28.2%

Institutions

Fields

  • Computer Science28.8%
  • Medicine14.3%
  • Mathematics9.1%
  • Neuroscience7.7%
  • Biochemistry, Genetics and Molecular Biology7.2%
  • Engineering6.9%
  • Other26%

Topics

  • Gaussian Processes and Bayesian Inference4.7%
  • Bayesian Methods and Mixture Models2.5%
  • Statistical Methods and Bayesian Inference2.4%
  • Statistical Methods and Inference2.3%
  • Gastrointestinal Tumor Research and Treatment1.6%
  • Bayesian Modeling and Causal Inference1.4%
  • Other85.1%

Coauthors

All papers

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

    Authors: Aki Vehtari, Andrew Gelman, Jonah Gabry - Statistics and Computing, Stat. Comput. 2016 cited by 5,394

  2. Rank-Normalization, Folding, and Localization: An Improved Rˆ for Assessing Convergence of MCMC (with Discussion)

    Authors: Aki Vehtari, Andrew Gelman, Daniel Simpson, Bob Carpenter, Paul-Christian Bürkner - Bayesian Analysis 2020 cited by 1,511

  3. Understanding predictive information criteria for Bayesian models

    Authors: Andrew Gelman, Jessica Hwang, Aki Vehtari - Statistics and Computing, Stat. Comput. 2013 cited by 2,153

  4. Validating Bayesian Inference Algorithms with Simulation-Based Calibration

    Authors: Sean Talts, Michael Betancourt, Daniel Simpson, Aki Vehtari, Andrew Gelman - arXiv (Cornell University) 2018 cited by 226

  5. Visualization in Bayesian Workflow

    Authors: Jonah Gabry, Daniel Simpson, Aki Vehtari, Michael Betancourt, Andrew Gelman - Journal of the Royal Statistical Society Series A (Statistics in Society) 2019 cited by 1,128

  6. Bayesian Workflow.

    Authors: Andrew Gelman, Aki Vehtari, Daniel Simpson, Charles C. Margossian, Bob Carpenter, Yuling Yao, Lauren Kennedy, Jonah Gabry, Paul‐Christian Bürkner, Martin Modrák - arXiv (Cornell University) 2020 cited by 141

  7. Bayesian approach for neural networks-review and case studies

    Authors: Jouko Lampinen, Aki Vehtari - Neural Networks 2001 cited by 386

  8. Regression and Other Stories

    Authors: Andrew Gelman, Jennifer Hill, Aki Vehtari - Cambridge University Press eBooks 2020 cited by 607

  9. Sparsity information and regularization in the horseshoe and other shrinkage priors

    Authors: Juho Piironen, Aki Vehtari - Electronic Journal of Statistics 2017 cited by 471

  10. Using Stacking to Average Bayesian Predictive Distributions (with Discussion)

    Authors: Yuling Yao, Aki Vehtari, Daniel Simpson, Andrew Gelman - Bayesian Analysis 2018 cited by 481

  11. R-squared for Bayesian Regression Models

    Authors: Andrew Gelman, Ben Goodrich, Jonah Gabry, Aki Vehtari - The American Statistician 2018 cited by 936

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

    Authors: Kunal Ghosh, Annika Stuke, Milica Todorović, Peter Bjørn Jørgensen, Mikkel N. Schmidt, Aki Vehtari, Patrick Rinke - Advanced Science 2019 cited by 266

  13. loo: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models

    Authors: Aki Vehtari, Jonah Gabry, Måns Magnusson, Yuling Yao, Paul‐Christian Bürkner, Topi Paananen, Andrew Gelman - CRAN: Contributed Packages 2015 cited by 400

  14. Pareto Smoothed Importance Sampling

    Authors: Aki Vehtari, Daniel Simpson, Andrew Gelman, Yuling Yao, Jonah Gabry - J. Mach. Learn. Res. 2024 cited by 229

  15. Risk of recurrence of gastrointestinal stromal tumour after surgery: an analysis of pooled population-based cohorts

    Authors: Heikki Joensuu, Aki Vehtari, Jaakko Riihimäki, Toshirou Nishida, Sonja E. Steigen, Peter Brabec, Lukáš Plank, Bengt Nilsson, Claudia Cirilli, Chiara Braconi, Andrea Bordoni, Magnús K. Magnússon, Zdeněk Linke, Jozef Šufliarský, Massimo Federico, Jón G. Jónasson, Angelo Paolo Dei Tos, Piotr Rutkowski - The Lancet Oncology 2011 cited by 1,005

  16. Prior Knowledge Elicitation: The Past, Present, and Future

    Authors: Petrus Mikkola, Osvaldo A. Martin, Suyog Chandramouli, Marcelo Hartmann, Oriol Abril, Owen Thomas, Henri Pesonen, Jukka Corander, Aki Vehtari, Samuel Kaski, Paul‐Christian Bürkner, Arto Klami - Bayesian Analysis 2023 cited by 64

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

    Authors: Aki Vehtari, Janne Ojanen - Statistics Surveys 2012 cited by 372

  18. One vs Three Years of Adjuvant Imatinib for Operable Gastrointestinal Stromal Tumor

    Authors: Heikki Joensuu, Mikael Eriksson, Kirsten Sundby Hall, Jörg T. Hartmann, Daniel Pink, J. Schütte, Giuliano Ramadori, Peter Hohenberger, Justus Duyster, Salah‐Eddin Al‐Batran, M. Schlemmer, Sebastian Bauer, Eva Wardelmann, Maarit Sarlomo‐Rikala, Bengt Nilsson, Harri Sihto, Odd R. Monge, Petri Bono, Raija Kallio, Aki Vehtari, Mika Leinonen, Thor Alvegård, Peter Reichardt - JAMA 2012 cited by 969

  19. Comparison of Bayesian predictive methods for model selection

    Authors: Juho Piironen, Aki Vehtari - Statistics and Computing, Stat. Comput. 2016 cited by 329

  20. Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data

    Authors: Aki Vehtari, Andrew Gelman, Tuomas Sivula, Pasi Jylänki, Dustin Tran, Swupnil Sahai, Paul Blomstedt, John P. Cunningham, David Schiminovich, Christian P. Robert - J. Mach. Learn. Res. 2020 cited by 69

  21. Past, Present and Future of Software for Bayesian Inference

    Authors: Erik Štrumbelj, Alexandre Bouchard‐Côté, Jukka Corander, Andrew Gelman, Håvard Rue, Lawrence M. Murray, Henri Pesonen, Martyn Plummer, Aki Vehtari - Statistical Science 2024 cited by 27

  22. Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER

    Authors: Simo Särkkä, Arno Solin, Aapo Nummenmaa, Aki Vehtari, Toni Auranen, Simo Vanni, Fa-Hsuan Lin - NeuroImage 2012 cited by 158

  23. An additive Gaussian process regression model for interpretable non-parametric analysis of longitudinal data

    Authors: Lu Cheng, Siddharth Ramchandran, Tommi Vatanen, Niina Lietzén, Riitta Lahesmaa, Aki Vehtari, Harri Lähdesmäki - Nature Communications 2019 cited by 117

  24. Implicitly adaptive importance sampling

    Authors: Topi Paananen, Juho Piironen, Paul-Christian Bürkner, Aki Vehtari - Statistics and Computing, Stat. Comput. 2021 cited by 40