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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A new avenue for Bayesian inference with INLA
Janet van Niekerk, Elias Teixeira Krainski, Denis Rustand, et al.
Computational Statistics & Data Analysis (2023) Vol. 181, pp. 107692-107692
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Past, Present and Future of Software for Bayesian Inference
Erik Štrumbelj, Alexandre Bouchard‐Côté, Jukka Corander, et al.
Statistical Science (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 11
Automatic cross-validation in structured models: Is it time to leave out leave-one-out?
Aritz Adin, Elias Teixeira Krainski, Amanda Lenzi, et al.
Spatial Statistics (2024) Vol. 62, pp. 100843-100843
Open Access | Times Cited: 10
A Bayesian Joint Model of Multiple Nonlinear Longitudinal and Competing Risks Outcomes for Dynamic Prediction in Multiple Myeloma: Joint Estimation and Corrected Two‐Stage Approaches
Danilo Alvares, Jessica Barrett, François Mercier, et al.
Statistics in Medicine (2025) Vol. 44, Iss. 3-4
Open Access
A computationally efficient procedure for combining ecological datasets by means of sequential consensus inference
Mario Figueira, David Conesa, Antonio López‐Quílez, et al.
Environmental and Ecological Statistics (2025)
Open Access
A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance
Joaquín Martínez‐Minaya, Håvard Rue
Statistics and Computing (2024) Vol. 34, Iss. 3
Open Access | Times Cited: 3
Big problems in spatio-temporal disease mapping: Methods and software
Erick Orozco‐Acosta, Aritz Adin, M. D. Ugarte
Computer Methods and Programs in Biomedicine (2023) Vol. 231, pp. 107403-107403
Open Access | Times Cited: 9
High-dimensional order-free multivariate spatial disease mapping
Gonzalo Vicente, Aritz Adin, T. Goicoa, et al.
Statistics and Computing (2023) Vol. 33, Iss. 5
Open Access | Times Cited: 9
Parallelized integrated nested Laplace approximations for fast Bayesian inference
Lisa Gaedke-Merzhäuser, Janet van Niekerk, Olaf Schenk, et al.
Statistics and Computing (2022) Vol. 33, Iss. 1
Closed Access | Times Cited: 15
Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations
Denis Rustand, Janet van Niekerk, Elias Teixeira Krainski, et al.
Biostatistics (2023) Vol. 25, Iss. 2, pp. 429-448
Open Access | Times Cited: 8
Mapping the abundance of endemic mosquito-borne diseases vectors in southern Quebec
Antoinette Ludwig, François Rousseu, Serge Olivier Kotchi, et al.
BMC Public Health (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Multivariate Stochastic Volatility Modeling via Integrated Nested Laplace Approximations: A Multifactor Extension
João Pedro Coli de Souza Monteneri Nacinben, Márcio Poletti Laurini
Econometrics (2024) Vol. 12, Iss. 1, pp. 5-5
Open Access | Times Cited: 2
Spatial modeling of two mosquito vectors of West Nile virus using integrated nested Laplace approximations
Kristin J. Bondo, Diego Montecino‐Latorre, Lisa Williams, et al.
Ecosphere (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Joint quantile disease mapping with application to malaria and G6PD deficiency
Hanan Alahmadi, Janet van Niekerk, Tullia Padellini, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Bayesian survival analysis with INLA
Danilo Alvares, Janet van Niekerk, Elias Teixeira Krainski, et al.
Statistics in Medicine (2024) Vol. 43, Iss. 20, pp. 3975-4010
Open Access | Times Cited: 1
Spatio‐temporal occupancy models with INLA
Jafet Belmont, Sara Martino, Janine Illian, et al.
Methods in Ecology and Evolution (2024)
Open Access | Times Cited: 1
Modelling the spatial risk pattern of dementia in Denmark using residential location data: A registry-based national cohort
Prince M. Amegbor, Clive E. Sabel, Laust Hvas Mortensen, et al.
Spatial and Spatio-temporal Epidemiology (2024) Vol. 49, pp. 100643-100643
Closed Access
Non-stationary Bayesian spatial model for disease mapping based on sub-regions
Esmail Abdul Fattah, Elias Teixeira Krainski, Janet van Niekerk, et al.
Statistical Methods in Medical Research (2024) Vol. 33, Iss. 6, pp. 1093-1111
Open Access
Efficient Gaussian Process Calculations Using Chebyshev Nodes and Fast Fourier Transform
Adrian Dudek, Jerzy Baranowski
Electronics (2024) Vol. 13, Iss. 11, pp. 2136-2136
Open Access
Contemporary Applications of Geostatistics to Soil Studies
Jarosław Zawadzki
Soil Systems (2024) Vol. 8, Iss. 3, pp. 70-70
Open Access
Bayesian Inference for Long Memory Stochastic Volatility Models
Pedro Chaim, Márcio Poletti Laurini
Econometrics (2024) Vol. 12, Iss. 4, pp. 35-35
Open Access
Fast spatial simulation of extreme high-resolution radar precipitation data using integrated nested Laplace approximations
Silius M. Vandeskog, Raphaël Huser, Oddbjørn Bruland, et al.
Journal of the Royal Statistical Society Series C (Applied Statistics) (2024)
Open Access
Joint modelling of dyadic and monadic count outcomes: an application to modelling forced migration flows
Caterina Conigliani
Statistical Modelling (2024)
Closed Access
bigDM: Scalable Bayesian Disease Mapping Models for High-Dimensional Data
Aritz Adin, Erick Orozco‐Acosta, M. D. Ugarte
(2022)
Closed Access | Times Cited: 3
An updated landslide susceptibility model and a log-Gaussian Cox process extension for Scotland
Erin Bryce, Daniela Castro‐Camilo, Claire Dashwood, et al.
EarthArXiv (California Digital Library) (2024)
Open Access
Integrated Nested Laplace Approximations for Large-Scale Spatiotemporal Bayesian Modeling
Lisa Gaedke-Merzhäuser, Elias Teixeira Krainski, Radim Janalík, et al.
SIAM Journal on Scientific Computing (2024) Vol. 46, Iss. 4, pp. B448-B473
Closed Access
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