Aritz Adín
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
Papers in ⓘ
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- Statistical Methods and Inference 8
- Statistical Methods and Bayesian Inference 7
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- Spatial and Panel Data Analysis 7
- Co-authors
- M. D. Ugarte (18 shared papers)T. Goicoa (11 shared papers)Ana F. Militino (1 shared paper)James S. Hodges (1 shared paper)Duncan Lee (2 shared papers)Amanda Lenzi (1 shared paper)Joaquín Martínez‐Minaya (1 shared paper)Håvard Rue (1 shared paper)
- Journals
- Statistical Methods in Medical Research (5 papers)Stochastic Environmental Research and Risk Assessment (3 papers)Spatial Statistics (2 papers)Computer Methods and Programs in Biomedicine (2 papers)BMC Public Health (2 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Aritz Adín
20 papers receiving 379 citations
Peers
Comparison fields: 5 of 98
- Modeling and Simulation 67
- Statistics and Probability 105
- Economics and Econometrics 141
- Health 34
- Epidemiology 118
Countries citing papers authored by Aritz Adín
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
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-authors
The 25 scholars most cited alongside Aritz Adín, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 78 | |
| 2 | 2017 | 47 | |
| 3 | 2016 | 45 | |
| 4 | 2021 | 22 | |
| 5 | 2024 | 22 | |
| 6 | 2017 | 22 | |
| 7 | 2016 | 22 | |
| 8 | 2018 | 20 | |
| 9 | 2016 | 18 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 13 | |
| 12 | 2015 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2015 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2020 | 4 |
About Aritz Adín
Aritz Adín is a scholar working on Statistics and Probability, Economics and Econometrics, Epidemiology, Oncology and Artificial Intelligence, having authored 20 papers that have together received 386 indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Statistical Methods and Bayesian Inference (7 papers), Data-Driven Disease Surveillance (7 papers), Spatial and Panel Data Analysis (7 papers), Global Cancer Incidence and Screening (5 papers), Colorectal Cancer Screening and Detection (3 papers), Bayesian Methods and Mixture Models (3 papers) and Soil Geostatistics and Mapping (2 papers). The work is most often cited by research in Modeling and Simulation (67 citations), Statistics and Probability (105 citations), Economics and Econometrics (141 citations), Health (34 citations) and Epidemiology (118 citations). Aritz Adín has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include M. D. Ugarte, T. Goicoa, Ana F. Militino, James S. Hodges, Duncan Lee, Amanda Lenzi, Joaquín Martínez‐Minaya, Håvard Rue, James S. Hodges and Zhedong Liu. Their work appears in journals such as Statistical Methods in Medical Research, Stochastic Environmental Research and Risk Assessment, Spatial Statistics, Computer Methods and Programs in Biomedicine and BMC Public Health.
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.