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Håvard Rue

Active 1992–2026

103
Papers
22,222
Citations
45
h-index
78
i10-index

Citations

Citations per year for Håvard Rue1961: 2 citations1981: 5 citations1991: 1 citations1992: 1 citations1994: 1 citations1995: 1 citations1998: 9 citations1999: 2 citations2000: 3 citations2001: 11 citations2002: 25 citations2003: 28 citations2004: 34 citations2005: 34 citations2006: 56 citations2007: 84 citations2008: 94 citations2009: 107 citations2010: 139 citations2011: 154 citations2012: 178 citations2013: 203 citations2014: 192 citations2015: 224 citations2016: 212 citations2017: 262 citations2018: 286 citations2019: 478 citations2020: 549 citations2021: 556 citations2022: 533 citations2023: 365 citations2024: 497 citations2025: 328 citations2026: 62 citations1962–1980: no citations, so these years are not shown1982–1990: no citations, so these years are not shown1993: no citations, so this year is not shown1996–1997: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,147 citing papers, 20.2% of this breakdownUnited Kingdom: 648 citing papers, 11.4% of this breakdownChina: 249 citing papers, 4.4% of this breakdownGermany: 242 citing papers, 4.3% of this breakdownAustralia: 220 citing papers, 3.9% of this breakdownFrance: 217 citing papers, 3.8% of this breakdownCanada: 209 citing papers, 3.7% of this breakdownNorway: 167 citing papers, 2.9% of this breakdownSpain: 165 citing papers, 2.9% of this breakdownSwitzerland: 148 citing papers, 2.6% of this breakdownItaly: 133 citing papers, 2.3% of this breakdownFinland: 105 citing papers, 1.8% of this breakdown
0%20.2%Other 35.8%

Institutions

Fields

  • Computer Science24.9%
  • Mathematics16.6%
  • Medicine14.9%
  • Environmental Science13.8%
  • Economics, Econometrics and Finance5.4%
  • Biochemistry, Genetics and Molecular Biology5.3%
  • Other19.1%

Topics

  • Bayesian Methods and Mixture Models5.1%
  • Statistical Methods and Bayesian Inference4.8%
  • Statistical Methods and Inference4.4%
  • Gaussian Processes and Bayesian Inference4.3%
  • Soil Geostatistics and Mapping3.9%
  • Spatial and Panel Data Analysis2%
  • Other75.5%

Coauthors

All papers

Open in search
  1. Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations

    Authors: Håvard Rue, Sara Martino, ChopinNicolas - Journal of the Royal Statistical Society Series B (Statistical Methodology) 2009 cited by 5,376

  2. An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach

    Authors: Finn Lindgren, Håvard Rue, Johan Lindström - Journal of the Royal Statistical Society Series B (Statistical Methodology) 2011 cited by 2,737

  3. Gaussian Markov Random Fields

    Authors: Håvard Rue, Leonhard Held - 2005 cited by 1,793

  4. Bayesian Spatial Modelling withR-INLA

    Authors: Finn Lindgren, Håvard Rue - Journal of Statistical Software 2015 cited by 1,150

  5. Bayesian Computing with INLA: A Review

    Authors: Håvard Rue, Andrea Riebler, Sigrunn H. Sørbye, Janine Illian, Daniel Simpson, Finn Lindgren - Annual Review of Statistics and Its Application 2017 cited by 761

  6. Combined effects of hydrometeorological hazards and urbanisation on dengue risk in Brazil: a spatiotemporal modelling study

    Authors: Rachel Lowe, Sophie Lee, Kathleen O’Reilly, Oliver J. Brady, Leonardo Soares Bastos, Gabriel Carrasco‐Escobar, Rafael de Castro Catão, Felipe J. Colón‐González, Christovam Barcellos, Marília Sá Carvalho, Marta Blangiardo, Håvard Rue, Antonio Gasparrini - The Lancet Planetary Health 2021 cited by 212

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

    Authors: Daniel Simpson, Håvard Rue, Thiago G. Martins, Andrea Riebler, Sigrunn H. Sørbye - Statistical Science 2017 cited by 1,113

  8. An intuitive Bayesian spatial model for disease mapping that accounts for scaling

    Authors: Andrea Riebler, Sigrunn H. Sørbye, Daniel Simpson, Håvard Rue - Statistical Methods in Medical Research 2016 cited by 501

  9. Bayesian computing with INLA: New features

    Authors: Thiago G. Martins, Daniel Simpson, Finn Lindgren, Håvard Rue - Computational Statistics & Data Analysis, Comput. Stat. Data Anal. 2013 cited by 635

  10. Spatial and spatio-temporal models with R-INLA

    Authors: Marta Blangiardo, Michela Cameletti, Gianluca Baio, Håvard Rue - Spatial and Spatio-temporal Epidemiology 2013 cited by 462

  11. The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running

    Authors: Finn Lindgren, David Bolin, Håvard Rue - arXiv (Cornell University) 2021 cited by 94

  12. Spatial modeling with R‐INLA: A review

    Authors: Haakon Bakka, Håvard Rue, Geir‐Arne Fuglstad, Andrea Riebler, David Bolin, Janine Illian, Elias Teixeira Krainski, Daniel Simpson, Finn Lindgren - Wiley Interdisciplinary Reviews Computational Statistics 2018 cited by 410

  13. Constructing Priors that Penalize the Complexity of Gaussian Random Fields

    Authors: Geir‐Arne Fuglstad, Daniel Simpson, Finn Lindgren, Håvard Rue - Journal of the American Statistical Association 2018 cited by 418

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

    Authors: Elias Teixeira Krainski, Virgilio Gómez‐Rubio, Haakon Bakka, Amanda Lenzi, Daniela Castro‐Camilo, Daniel Simpson, Finn Lindgren, Håvard Rue - 2018 cited by 277

  15. The Bayesian Learning Rule

    Authors: Mohammad Emtiyaz Khan, Håvard Rue - J. Mach. Learn. Res. 2023 cited by 44

  16. 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

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

    Authors: Michela Cameletti, Finn Lindgren, Daniel Simpson, Håvard Rue - AStA Advances in Statistical Analysis 2012 cited by 383

  18. Bayesian inference for generalized linear mixed models

    Authors: Youyi Fong, Håvard Rue, Jon Wakefield - Biostatistics 2009 cited by 294

  19. Markov chain Monte Carlo with the Integrated Nested Laplace Approximation

    Authors: Virgilio Gómez-Rubio, Håvard Rue - Statistics and Computing, Stat. Comput. 2017 cited by 66

  20. Going off grid: computationally efficient inference for log-Gaussian Cox processes

    Authors: Daniel Simpson, Janine Illian, Finn Lindgren, Sigrunn H. Sørbye, Håvard Rue - Biometrika 2016 cited by 212

  21. Importance Sampling with the Integrated Nested Laplace Approximation

    Authors: Martin Outzen Berild, Sara Martino, Virgilio Gómez-Rubio, Håvard Rue - Journal of Computational and Graphical Statistics, J. Comput. Graph. Stat. 2022 cited by 13

  22. Approximate Bayesian inference for hierarchical Gaussian Markov random field models

    Authors: Håvard Rue, Sara Martino - Journal of Statistical Planning and Inference 2007 cited by 221

  23. Integrated Nested Laplace Approximations for Large-Scale Spatiotemporal Bayesian Modeling

    Authors: Lisa Gaedke-Merzhäuser, Elias Teixeira Krainski, Radim Janalík, Håvard Rue, Olaf Schenk - SIAM Journal on Scientific Computing, SIAM J. Sci. Comput. 2024 cited by 7

  24. Gaussian Markov Random Fields: Theory and Applications

    Authors: Håvard Rue, Leonhard Held - 2005 cited by 1,256