Alicia Quirós
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- Cardiac Imaging and Diagnostics 12
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- Acute Myocardial Infarction Research 7
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- Coronary Interventions and Diagnostics 13
- Statistics and Probability top 10%
- Statistical Methods and Inference 8
- Statistical Methods and Bayesian Inference 5
- Statistical Methods in Clinical Trials 5
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- Functional Brain Connectivity Studies 4
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- Bayesian Methods and Mixture Models 3
- Co-authors
- Javier EscanedAntonio Fernández‐OrtízDani GamermanMauro Echavarría‐PintoMaría Eugenia CastellanosNieves GonzaloIván J. Núñez‐GilPilar Jiménez‐Quevedo
- Journals
- SHILAP Revista de lepidopterología (3 papers)Journal of the American College of Cardiology (1 paper)NeuroImage (2 papers)
- Partner nations
- SpainItalyUnited Kingdom
In The Last Decade
Alicia Quirós
39 papers receiving 267 citations
Peers
Comparison fields: 5 of 69
- Radiology, Nuclear Medicine and Imaging 159
- Cardiology and Cardiovascular Medicine 141
- Surgery 152
- Statistics and Probability 26
- Computational Mathematics 1
Countries citing papers authored by Alicia Quirós
This map shows the geographic impact of Alicia Quirós'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 Alicia Quirós with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alicia Quirós more than expected).
Fields of papers citing papers by Alicia Quirós
This network shows the impact of papers produced by Alicia Quirós. 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 Alicia Quirós. The network helps show where Alicia Quirós may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alicia Quirós, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2021 | 1 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 11 | |
| 6 | 2020 | 2 | |
| 7 | 2020 | 38 | |
| 8 | 2019 | 2 | |
| 9 | 2018 | 7 | |
| 10 | 2017 | 5 | |
| 11 | 2017 | 29 | |
| 12 | 2017 | 5 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 14 | |
| 15 | 2017 | 12 | |
| 16 | 2016 | 1 | |
| 17 | 2015 | 20 | |
| 18 | 2014 | 20 | |
| 19 | 2010 | 7 | |
| 20 | 2009 | 22 |
About Alicia Quirós
Alicia Quirós is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 276 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (13 papers), Cardiac Imaging and Diagnostics (12 papers), Statistical Methods and Inference (8 papers), Acute Myocardial Infarction Research (7 papers), Statistical Methods and Bayesian Inference (5 papers), Statistical Methods in Clinical Trials (5 papers), Functional Brain Connectivity Studies (4 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (159 citations), Cardiology and Cardiovascular Medicine (141 citations) and Surgery (152 citations). Alicia Quirós has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include Javier Escaned, Antonio Fernández‐Ortíz, Dani Gamerman, Mauro Echavarría‐Pinto, María Eugenia Castellanos, Nieves Gonzalo, Iván J. Núñez‐Gil, Pilar Jiménez‐Quevedo, Simon Wilson and Justin E. Davies. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and NeuroImage.
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.