Aritz Adín

547 total citations
20 papers, 386 citations indexed

About

Aritz Adín is a scholar working on Statistics and Probability, Economics and Econometrics and Epidemiology. According to data from OpenAlex, Aritz Adín has authored 20 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 8 papers in Economics and Econometrics and 7 papers in Epidemiology. Recurrent topics in Aritz Adín's work include Statistical Methods and Inference (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Spatial and Panel Data Analysis (7 papers). Aritz Adín is often cited by papers focused on Statistical Methods and Inference (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Spatial and Panel Data Analysis (7 papers). Aritz Adín collaborates with scholars based in Spain, United Kingdom and United States. Aritz Adín's co-authors include M. D. Ugarte, T. Goicoa, Ana F. Militino, James S. Hodges, Duncan Lee, Miguel A. Martínez‐Beneito, Patrick Schnell, Elias Teixeira Krainski, Håvard Rue and James S. Hodges and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Public Health.

In The Last Decade

Aritz Adín

20 papers receiving 379 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aritz Adín Spain 11 141 118 105 67 40 20 386
Alastair Rushworth United Kingdom 8 88 0.6× 81 0.7× 48 0.5× 61 0.9× 17 0.4× 8 365
Earl Duncan Australia 8 80 0.6× 50 0.4× 40 0.4× 33 0.5× 17 0.4× 18 611
Emanuela Dreassi Italy 11 131 0.9× 75 0.6× 120 1.1× 12 0.2× 57 1.4× 56 416
Thomas Neyens Belgium 13 64 0.5× 66 0.6× 68 0.6× 75 1.1× 22 0.6× 52 421
Vesna Zadnik Slovenia 10 158 1.1× 61 0.5× 79 0.8× 11 0.2× 20 0.5× 28 549
Sabine Hoffmann Germany 12 50 0.4× 42 0.4× 37 0.4× 49 0.7× 23 0.6× 43 503
Gianfranco Lovison Italy 12 26 0.2× 41 0.3× 64 0.6× 62 0.9× 26 0.7× 39 337
Rebecca A. Stern United States 7 41 0.3× 61 0.5× 20 0.2× 57 0.9× 7 0.2× 10 342
Yiwang Zhou United States 9 69 0.5× 55 0.5× 27 0.3× 168 2.5× 18 0.5× 22 327
Marcos O. Prates Brazil 11 63 0.4× 75 0.6× 238 2.3× 28 0.4× 191 4.8× 48 524

Countries citing papers authored by Aritz Adín

Since Specialization
Citations

This map shows the geographic impact of Aritz Adín's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aritz Adín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aritz Adín more than expected).

Fields of papers citing papers by Aritz Adín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aritz Adín. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aritz Adín. The network helps show where Aritz Adín may publish in the future.

Co-authorship network of co-authors of Aritz Adín

This figure shows the co-authorship network connecting the top 25 collaborators of Aritz Adín. A scholar is included among the top collaborators of Aritz Adín based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aritz Adín. Aritz Adín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Adín, Aritz, Elias Teixeira Krainski, Amanda Lenzi, et al.. (2024). Automatic cross-validation in structured models: Is it time to leave out leave-one-out?. Spatial Statistics. 62. 100843–100843. 22 indexed citations
2.
Adín, Aritz, et al.. (2023). High-dimensional order-free multivariate spatial disease mapping. Statistics and Computing. 33(5). 6 indexed citations
3.
Adín, Aritz, et al.. (2023). Big problems in spatio-temporal disease mapping: Methods and software. Computer Methods and Programs in Biomedicine. 231. 107403–107403. 6 indexed citations
4.
Adín, Aritz, Peter Congdon, Guzmán Santafé, & M. D. Ugarte. (2022). Identifying extreme COVID-19 mortality risks in English small areas: a disease cluster approach. Stochastic Environmental Research and Risk Assessment. 36(10). 2995–3010. 5 indexed citations
5.
Jarén, Carmen, et al.. (2022). Fatal Tractor Accidents in the Agricultural Sector in Spain during the Past Decade. Agronomy. 12(7). 1694–1694. 8 indexed citations
6.
Santafé, Guzmán, Aritz Adín, Duncan Lee, & M. D. Ugarte. (2021). Dealing with risk discontinuities to estimate cancer mortality risks when the number of small areas is large. Statistical Methods in Medical Research. 30(1). 6–21. 8 indexed citations
7.
Adín, Aritz, et al.. (2021). Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India. Statistical Modelling. 23(1). 9–30. 22 indexed citations
8.
Adín, Aritz, et al.. (2020). Space-time analysis of ovarian cancer mortality rates by age groups in spanish provinces (1989–2015). BMC Public Health. 20(1). 4 indexed citations
9.
Adín, Aritz, T. Goicoa, & M. D. Ugarte. (2019). Online relative risks/rates estimation in spatial and spatio-temporal disease mapping. Computer Methods and Programs in Biomedicine. 172. 103–116. 16 indexed citations
10.
Adín, Aritz, Daniel Martínez-Bello, Antonio López‐Quílez, & M. D. Ugarte. (2018). Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia. PLoS ONE. 13(9). e0203382–e0203382. 13 indexed citations
11.
Adín, Aritz, Duncan Lee, T. Goicoa, & M. D. Ugarte. (2018). A two-stage approach to estimate spatial and spatio-temporal disease risks in the presence of local discontinuities and clusters. Statistical Methods in Medical Research. 28(9). 2595–2613. 20 indexed citations
12.
Goicoa, T., et al.. (2017). Flexible Bayesian P-splines for smoothing age-specific spatio-temporal mortality patterns. Statistical Methods in Medical Research. 28(2). 384–403. 8 indexed citations
13.
Goicoa, T., Aritz Adín, M. D. Ugarte, & James S. Hodges. (2017). In spatio-temporal disease mapping models, identifiability constraints affect PQL and INLA results. Stochastic Environmental Research and Risk Assessment. 32(3). 749–770. 47 indexed citations
14.
15.
Yubero, Dèlia, Aritz Adín, Raquel Montero, et al.. (2016). A statistical algorithm showing coenzyme Q10 and citrate synthase as biomarkers for mitochondrial respiratory chain enzyme activities. Scientific Reports. 6(1). 15–15. 45 indexed citations
16.
Ugarte, M. D., Aritz Adín, & T. Goicoa. (2016). Two-level spatially structured models in spatio-temporal disease mapping. Statistical Methods in Medical Research. 25(4). 1080–1100. 18 indexed citations
17.
Adín, Aritz, Miguel A. Martínez‐Beneito, Paloma Botella-Rocamora, T. Goicoa, & M. D. Ugarte. (2016). Smoothing and high risk areas detection in space-time disease mapping: a comparison of P-splines, autoregressive, and moving average models. Stochastic Environmental Research and Risk Assessment. 31(2). 403–415. 22 indexed citations
18.
Ugarte, M. D., Aritz Adín, T. Goicoa, & Gonzalo López‐Abente. (2015). Analyzing the evolution of young people's brain cancer mortality in Spanish provinces. Cancer Epidemiology. 39(3). 480–485. 9 indexed citations
19.
Ugarte, M. D., Aritz Adín, T. Goicoa, et al.. (2015). Temporal evolution of brain cancer incidence in the municipalities of Navarre and the Basque Country, Spain. BMC Public Health. 15(1). 1018–1018. 7 indexed citations
20.
Ugarte, M. D., Aritz Adín, T. Goicoa, & Ana F. Militino. (2014). On fitting spatio-temporal disease mapping models using approximate Bayesian inference. Statistical Methods in Medical Research. 23(6). 507–530. 78 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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