David Moriña
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
Papers in
-
- Workplace Health and Well-being 6
-
- Cervical Cancer and HPV Research 4
- Co-authors
- Pedro Puig (14 shared papers)Albert Navarro (14 shared papers)Rosa Solà (10 shared papers)Lucía Tarro (7 shared papers)Elisabet Llauradó (6 shared papers)Montse Giralt (7 shared papers)Alexandre Hyafil (1 shared paper)Amanda Fernández‐Fontelo (7 shared papers)
- Journals
- PLoS ONE (4 papers)Statistics in Medicine (3 papers)The R Journal (2 papers)Scientific Reports (2 papers)Journal of Radiological Protection (2 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
David Moriña
59 papers receiving 674 citations
Peers
Comparison fields: 5 of 123
- Modeling and Simulation 49
- Statistics and Probability 69
- Public Health, Environmental and Occupational Health 103
- Finance 39
- General Health Professions 80
Countries citing papers authored by David Moriña
This map shows the geographic impact of David Moriña'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 David Moriña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Moriña more than expected).
Fields of papers citing papers by David Moriña
This network shows the impact of papers produced by David Moriña. 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 David Moriña. The network helps show where David Moriña may publish in the future.
Co-authors
The 25 scholars most cited alongside David Moriña, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 55 | |
| 2 | 2014 | 51 | |
| 3 | 2011 | 48 | |
| 4 | 2020 | 31 | |
| 5 | 2014 | 28 | |
| 6 | 2019 | 27 | |
| 7 | 2016 | 24 | |
| 8 | 2019 | 22 | |
| 9 | 2019 | 21 | |
| 10 | 2011 | 21 | |
| 11 | 2020 | 20 | |
| 12 | 2017 | 19 | |
| 13 | 2018 | 19 | |
| 14 | 2014 | 18 | |
| 15 | 2014 | 18 | |
| 16 | 2016 | 17 | |
| 17 | Prevalence of visual impairment in El Salvador: inequalities in educational level and occupational status. | 2014 | 15 |
| 18 | 2019 | 14 | |
| 19 | 2015 | 14 | |
| 20 | 2018 | 13 |
About David Moriña
David Moriña is a scholar working on General Health Professions, Epidemiology, Statistics and Probability, Artificial Intelligence and Finance, having authored 62 papers that have together received 690 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (7 papers), Workplace Health and Well-being (6 papers), Statistical Methods and Inference (5 papers), COVID-19 epidemiological studies (4 papers), Cervical Cancer and HPV Research (4 papers), Bayesian Methods and Mixture Models (4 papers), Financial Risk and Volatility Modeling (4 papers) and Radiation Dose and Imaging (4 papers). The work is most often cited by research in Modeling and Simulation (49 citations), Statistics and Probability (69 citations), Public Health, Environmental and Occupational Health (103 citations), Finance (39 citations) and General Health Professions (80 citations). David Moriña has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Pedro Puig, Albert Navarro, Rosa Solà, Lucía Tarro, Elisabet Llauradó, Montse Giralt, Alexandre Hyafil, Amanda Fernández‐Fontelo, Victoria Arija and Anna Vilella. Their work appears in journals such as PLoS ONE, Statistics in Medicine, The R Journal, Scientific Reports and Journal of Radiological Protection.
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.