Ricardo Aguás
- Public Health, Environmental and Occupational Health top 1%
- Infectious Diseases top 5%
- Modeling and Simulation top 1%
- Epidemiology
- Insect Science top 5%
- Co-authors
- M. Gabriela M. GomesLisa J. WhiteArjen M. DondorpNicholas J. WhiteRichard J. MaudeSompob SaralambaNeil M. FergusonNicholas Day
- Topics
- Mosquito-borne diseases and control (19 papers)Malaria Research and Control (17 papers)COVID-19 epidemiological studies (14 papers)
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthInfectious Diseases
- Journals
- NatureNature CommunicationsPLoS ONE
- Partner nations
- United KingdomThailandUnited States
In The Last Decade
Ricardo Aguás
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 115
- Public Health, Environmental and Occupational Health 1.0k
- Infectious Diseases 380
- Modeling and Simulation 299
- Epidemiology 238
- Insect Science 170
Countries citing papers authored by Ricardo Aguás
This map shows the geographic impact of Ricardo Aguás'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 Ricardo Aguás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo Aguás more than expected).
Fields of papers citing papers by Ricardo Aguás
This network shows the impact of papers produced by Ricardo Aguás. 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 Ricardo Aguás. The network helps show where Ricardo Aguás may publish in the future.
Co-authorship network of co-authors of Ricardo Aguás
This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Aguás. A scholar is included among the top collaborators of Ricardo Aguás 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 Ricardo Aguás. Ricardo Aguás is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 46 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 19 | |
| 10 | 7 | |
| 11 | 19 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 42 | |
| 15 | 35 | |
| 16 | 16 | |
| 17 | 69 | |
| 18 | 136 | |
| 19 | 14 | |
| 20 | 64 |
About Ricardo Aguás
Ricardo Aguás is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (19 papers), Malaria Research and Control (17 papers) and COVID-19 epidemiological studies (14 papers). The work is most often cited by research in Modeling and Simulation (299 citations), Public Health, Environmental and Occupational Health (1.0k citations) and Infectious Diseases (380 citations). Ricardo Aguás has collaborated with scholars based in United Kingdom, Thailand and United States. Frequent co-authors include M. Gabriela M. Gomes, Lisa J. White, Arjen M. Dondorp, Nicholas J. White, Richard J. Maude, Sompob Saralamba, Neil M. Ferguson, Nicholas Day, Guilherme Gonçalves and Marcelo U. Ferreira. Their work appears in journals such as Nature, Nature Communications 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.