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:

Revisiting Gaussian Markov random fields and Bayesian disease mapping
Ying C. MacNab
Statistical Methods in Medical Research (2022) Vol. 32, Iss. 1, pp. 207-225
Open Access | Times Cited: 8

Showing 8 citing articles:

How internalizing and externalizing symptoms related to suicidal ideation and suicide attempts in patients with obsessive-compulsive disorder? A network analysis study
Mohammadreza Davoudi, Rasha Mohamed Abdelrahman, Marei Ahmed, et al.
Current Psychology (2024) Vol. 43, Iss. 35, pp. 28079-28095
Closed Access | Times Cited: 8

Unveiling Land Use Dynamics: Insights from a Hierarchical Bayesian Spatio-Temporal Modelling of Compositional Data
Mario Figueira, Carmen Guarner, David Conesa, et al.
Journal of Agricultural Biological and Environmental Statistics (2025)
Open Access

Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting
Ying C. MacNab
Spatial Statistics (2023) Vol. 53, pp. 100726-100726
Open Access | Times Cited: 6

Effects of the El Niño-Southern Oscillation and seasonal weather conditions on Aedes aegypti infestation in the State of São Paulo (Brazil): A Bayesian spatio-temporal study
Monica Pirani, Camila Lorenz, Thiago Salomão de Azevedo, et al.
PLoS neglected tropical diseases (2024) Vol. 18, Iss. 9, pp. e0012397-e0012397
Open Access | Times Cited: 1

A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects
Victoire Michal, Alexandra M. Schmidt, Laís Picinini Freitas, et al.
Statistical Methods in Medical Research (2024)
Open Access | Times Cited: 1

Beyond Auto‐Models: Self‐Correlated Sui‐Model Respecifications
Daniel A. Griffith
Geographical Analysis (2024)
Closed Access

Bayesian Disease Mapping to Identify High-Risk Population for Oral Cancer: A Retrospective Spatiotemporal Analysis
Poornima Ramamurthy, Dileep Sharma, John Adeoye, et al.
International Journal of Dentistry (2023) Vol. 2023, pp. 1-11
Open Access | Times Cited: 1

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