
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:
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
Gonzalo Vicente, Aritz Adin, T. Goicoa, et al.
Statistics and Computing (2023) Vol. 33, Iss. 5
Open Access | Times Cited: 9
Showing 9 citing articles:
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
Mario Figueira, David Conesa, Antonio López‐Quílez, et al.
Environmental and Ecological Statistics (2025)
Open Access
JAGS model specification for spatiotemporal epidemiological modelling
Dinah Jane Lope, Haydar Demirhan
Spatial and Spatio-temporal Epidemiology (2024) Vol. 49, pp. 100645-100645
Open Access | Times Cited: 2
Dinah Jane Lope, Haydar Demirhan
Spatial and Spatio-temporal Epidemiology (2024) Vol. 49, pp. 100645-100645
Open Access | Times Cited: 2
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models
Arantxa Urdangarin, T. Goicoa, Thomas Kneib, et al.
Spatial Statistics (2023) Vol. 59, pp. 100804-100804
Open Access | Times Cited: 2
Arantxa Urdangarin, T. Goicoa, Thomas Kneib, et al.
Spatial Statistics (2023) Vol. 59, pp. 100804-100804
Open Access | Times Cited: 2
bigDM: Scalable Bayesian Disease Mapping Models for High-Dimensional Data
Aritz Adin, Erick Orozco‐Acosta, M. D. Ugarte
(2022)
Closed Access | Times Cited: 3
Aritz Adin, Erick Orozco‐Acosta, M. D. Ugarte
(2022)
Closed Access | Times Cited: 3
Identification of common spatial and temporal patterns in the epidemiology of cattle bovine tuberculosis and human extrapulmonary and drug-resistant tuberculosis in Malawi
Alfred Ngwira, Samuel Manda, Esron D. Karimuribo, et al.
One Health (2024) Vol. 19, pp. 100905-100905
Open Access
Alfred Ngwira, Samuel Manda, Esron D. Karimuribo, et al.
One Health (2024) Vol. 19, pp. 100905-100905
Open Access
A fast approach for analyzing spatio-temporal patterns in ischemic heart disease mortality across US counties (1999–2021)
Arantxa Urdangarin, T. Goicoa, Peter Congdon, et al.
Spatial and Spatio-temporal Epidemiology (2024) Vol. 52, pp. 100700-100700
Closed Access
Arantxa Urdangarin, T. Goicoa, Peter Congdon, et al.
Spatial and Spatio-temporal Epidemiology (2024) Vol. 52, pp. 100700-100700
Closed Access
Multivariate Disease Mapping Models to Uncover Hidden Relationships Between Different Cancer Sites
Aritz Adin, T. Goicoa, M. D. Ugarte
Springer eBooks (2023), pp. 1-20
Closed Access | Times Cited: 1
Aritz Adin, T. Goicoa, M. D. Ugarte
Springer eBooks (2023), pp. 1-20
Closed Access | Times Cited: 1
Exploring disease mapping models in big data contexts: some new proposals
Erick Orozco‐Acosta
(2023)
Open Access
Erick Orozco‐Acosta
(2023)
Open Access
A scalable approach for short‐term disease forecasting in high spatial resolution areal data
Erick Orozco‐Acosta, Andrea Riebler, Aritz Adin, et al.
Biometrical Journal (2023) Vol. 65, Iss. 8
Open Access
Erick Orozco‐Acosta, Andrea Riebler, Aritz Adin, et al.
Biometrical Journal (2023) Vol. 65, Iss. 8
Open Access