Carolina Riveros
- Statistics, Probability and Uncertainty top 1%
- Public Health, Environmental and Occupational Health top 10%
- Economics and Econometrics top 5%
- Molecular Biology
- Infectious Diseases top 10%
- Co-authors
- Philippe RavaudAgnès DechartresViet-Thi TranÉlodie PerrodeauAïda BafetaIsabelle BoutronRomana HaneefTimor Faber
- Topics
- Health Systems, Economic Evaluations, Quality of Life (11 papers)Meta-analysis and systematic reviews (8 papers)Statistical Methods in Clinical Trials (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of Internal MedicinePLoS ONE
- Partner nations
- FranceUnited StatesChile
In The Last Decade
Carolina Riveros
25 papers receiving 992 citations
Peers
Comparison fields: 5 of 129
- Statistics, Probability and Uncertainty 234
- Public Health, Environmental and Occupational Health 219
- Economics and Econometrics 179
- Molecular Biology 143
- Infectious Diseases 142
Countries citing papers authored by Carolina Riveros
This map shows the geographic impact of Carolina Riveros'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 Carolina Riveros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina Riveros more than expected).
Fields of papers citing papers by Carolina Riveros
This network shows the impact of papers produced by Carolina Riveros. 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 Carolina Riveros. The network helps show where Carolina Riveros may publish in the future.
Co-authorship network of co-authors of Carolina Riveros
This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Riveros. A scholar is included among the top collaborators of Carolina Riveros 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 Carolina Riveros. Carolina Riveros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 80 | |
| 5 | 11 | |
| 6 | 0 | |
| 7 | 12 | |
| 8 | 162 | |
| 9 | 28 | |
| 10 | 24 | |
| 11 | 11 | |
| 12 | 51 | |
| 13 | 80 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 11 | |
| 17 | 86 | |
| 18 | 181 | |
| 19 | Anticuerpos de hepatitis " a ". Prevalencia en ninos aparentemente sanos y con hepatitis aguda | 3 |
| 20 | Anti-hepatitis A antibodies in healthy children and in patients with hepatitis. | 2 |
About Carolina Riveros
Carolina Riveros is a scholar working on Health Informatics, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (11 papers), Meta-analysis and systematic reviews (8 papers) and Statistical Methods in Clinical Trials (6 papers). The work is most often cited by research in Health Informatics (86 citations), Statistics, Probability and Uncertainty (234 citations) and Gastroenterology (51 citations). Carolina Riveros has collaborated with scholars based in France, United States and Chile. Frequent co-authors include Philippe Ravaud, Agnès Dechartres, Viet-Thi Tran, Élodie Perrodeau, Aïda Bafeta, Isabelle Boutron, Romana Haneef, Timor Faber, Amélie Yavchitz and Rui Batista. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and PLoS ONE.
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.