World's Best Scientists 2026 revealed!
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Mathematics
Saudi Arabia
2026

D-Index & Metrics

Mathematics

D-Index
60
Citations
27216
World Ranking
535
National Ranking
6

Engineering and Technology

D-Index
58
Citations
26249
World Ranking
2418
National Ranking
19

Research.com Recognitions

  • 2026 - Research.com Mathematics in Saudi Arabia Leader Award
  • 2025 - Research.com Mathematics in Saudi Arabia Leader Award
  • Member of the Norwegian Academy of Science and Letters Mathematics
  • Member of the Norwegian Academy of Science and Letters Mathematics
  • Member of the Norwegian Academy of Science and Letters Mathematics
  • Member of the Norwegian Academy of Science and Letters Mathematics
  • Member of the Norwegian Academy of Science and Letters Mathematics
  • Member of the Norwegian Academy of Science and Letters Mathematics

Overview

Håvard Rue is affiliated with King Abdullah University of Science and Technology in Saudi Arabia. Their research spans multiple fields, focusing primarily on mathematics and computer science, with a significant emphasis on statistics and probability, as well as artificial intelligence. Additional areas of their expertise include environmental engineering, economics and econometrics, and global and planetary change.

The scientist's research topics cover a wide range of statistical and computational methods. Key topics include statistical methods and Bayesian inference, Gaussian processes and Bayesian inference, soil geostatistics and mapping, Bayesian methods and mixture models, spatial and panel data analysis, and advanced statistical methods and models.

Frequent co-authors include Janet van Niekerk, Elias Teixeira Krainski, Denis Rustand, David Bolin, and Haakon Bakka. This collaborative network reflects a consistent engagement with colleagues specializing in related fields of study.

The bulk of their published work appears in venues such as arXiv (Cornell University), where they have contributed 46 publications. Other notable venues include Statistics and Computing, Biometrical Journal, Computational Statistics & Data Analysis, and Spatial Statistics.

Recent papers by Håvard Rue include the following:

  • Combined effects of hydrometeorological hazards and urbanisation on dengue risk in Brazil: a spatiotemporal modelling study, 2021, The Lancet Planetary Health
  • The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running, 2021, arXiv (Cornell University)
  • A new avenue for Bayesian inference with INLA, 2023, Computational Statistics & Data Analysis
  • New Frontiers in Bayesian Modeling Using the INLA Package in R, 2021, Journal of Statistical Software
  • Practical strategies for generalized extreme value-based regression models for extremes, 2022, Environmetrics

Håvard Rue has been recognized as a member of the Norwegian Academy of Science and Letters in the field of mathematics, highlighting their professional acknowledgment within the academic community.

Best Publications

  • Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

    Håvard Rue;Sara Martino;Nicolas Chopin

  • An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

    Finn Lindgren;Håvard Rue;Johan Lindström

  • Gaussian Markov Random Fields: Theory and Applications

    Håvard Rue;Leonhard Held

  • Bayesian Spatial Modelling with R-INLA

    Finn Lindgren;Håvard Rue

  • Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors

    Daniel Simpson;Håvard Rue;Andrea Ingeborg Riebler;Thiago Guerrera Martins

  • Bayesian Computing with INLA: A Review

    Håvard Rue;Andrea Ingeborg Riebler;Sigrunn Holbek Sørbye;Janine B. Illian

  • Bayesian computing with INLA: New features

    Thiago G. Martins;Daniel Simpson;Finn Lindgren;HåVard Rue

  • Spatial and spatio-temporal models with R-INLA

    Marta Blangiardo;Michela Cameletti;Gianluca Baio;Gianluca Baio;Håvard Rue

  • An intuitive Bayesian spatial model for disease mapping that accounts for scaling

    Andrea Riebler;Sigrunn H Sørbye;Daniel Simpson;Håvard Rue

  • Fast sampling of Gaussian Markov random fields

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  • Spatio-temporal modeling of particulate matter concentration through the SPDE approach

    Michela Cameletti;Finn Lindgren;Daniel Simpson;Håvard Rue

  • Spatial modeling with R-INLA: A review

    Haakon Bakka;Håvard Rue;Geir-Arne Fuglstad;Andrea Ingeborg Riebler

  • Bayesian inference for generalized linear mixed models

    Youyi Fong;Håvard Rue;Jon Wakefield

  • Prediction and retrospective analysis of soccer matches in a league

    Havard Rue;Oyvind Salvesen

  • Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

    Elias T. Krainski;Virgilio Gómez-Rubio;Haakon Bakka;Amanda Lenzi

  • Approximate Bayesian inference for hierarchical Gaussian Markov random field models

    HÅvard Rue;Sara Martino

  • On Block Updating in Markov Random Field Models for Disease Mapping

    Leonhard Knorr‐Held;Håvard Rue

  • A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA)

    Janine Illian;Sigrunn Holbek Sørbye;Håvard Rue

  • Posterior and Cross-validatory Predictive Checks: A Comparison of MCMC and INLA

    Leonhard Held;Birgit Schrödle;Håvard Rue

  • A Dynamic Mixture Model for Unsupervised Tail Estimation without Threshold Selection

    Arnoldo Frigessi;Arnoldo Frigessi;Ola Haug;Håvard Rue

  • Towards joint disease mapping

    Leonhard H Held;Isabel Natario;Sarah Elaine Fenton;Havard Rue

  • Spatial Data Analysis with R-INLA with Some Extensions

    Roger Bivand;Virgilio Gómez-Rubio;Håvard Rue

Frequent Co-Authors

Leonhard Held
Leonhard Held University of Zurich
Christopher K. Wikle
Christopher K. Wikle University of Missouri
Jon Wakefield
Jon Wakefield University of Washington
Matthias Bopp
Matthias Bopp University of Zurich
Finnur Pálsson
Finnur Pálsson University of Iceland
Michael Riegler
Michael Riegler OsloMet – Oslo Metropolitan University
Eivind Hovig
Eivind Hovig University of Oslo
Ola Myklebost
Ola Myklebost University of Bergen
Gudmar Thorleifsson
Gudmar Thorleifsson deCODE Genetics (Iceland)
Augustine Kong
Augustine Kong University of Oxford

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