Flávio Codeço Coelho
- Public Health, Environmental and Occupational Health top 5%
- Modeling and Simulation top 1%
- Infectious Diseases top 5%
- Epidemiology
- Clinical Psychology
- Co-authors
- Cláudia Torres CodeçoDaniel Antunes Maciel VillelaLeonardo Soares BastosOswaldo Gonçalves CruzRaquel Martins LanaMarcelo Ferreira da Costa GomesM. Gabriela M. GomesRoberta Pereira Niquini
- Topics
- COVID-19 epidemiological studies (31 papers)Mosquito-borne diseases and control (23 papers)Data-Driven Disease Surveillance (8 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Partner nations
- BrazilSwitzerlandSpain
In The Last Decade
Flávio Codeço Coelho
63 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 146
- Public Health, Environmental and Occupational Health 361
- Modeling and Simulation 340
- Infectious Diseases 287
- Epidemiology 134
- Clinical Psychology 105
Countries citing papers authored by Flávio Codeço Coelho
This map shows the geographic impact of Flávio Codeço Coelho'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 Flávio Codeço Coelho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flávio Codeço Coelho more than expected).
Fields of papers citing papers by Flávio Codeço Coelho
This network shows the impact of papers produced by Flávio Codeço Coelho. 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 Flávio Codeço Coelho. The network helps show where Flávio Codeço Coelho may publish in the future.
Co-authorship network of co-authors of Flávio Codeço Coelho
This figure shows the co-authorship network connecting the top 25 collaborators of Flávio Codeço Coelho. A scholar is included among the top collaborators of Flávio Codeço Coelho 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 Flávio Codeço Coelho. Flávio Codeço Coelho 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 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 29 | |
| 11 | 7 | |
| 12 | 18 | |
| 13 | 27 | |
| 14 | 174 | |
| 15 | 71 | |
| 16 | 57 | |
| 17 | 65 | |
| 18 | 4 | |
| 19 | 29 | |
| 20 | 2 |
About Flávio Codeço Coelho
Flávio Codeço Coelho is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (31 papers), Mosquito-borne diseases and control (23 papers) and Data-Driven Disease Surveillance (8 papers). The work is most often cited by research in Modeling and Simulation (340 citations), Infectious Diseases (287 citations) and Public Health, Environmental and Occupational Health (361 citations). Flávio Codeço Coelho has collaborated with scholars based in Brazil, Switzerland and Spain. Frequent co-authors include Cláudia Torres Codeço, Daniel Antunes Maciel Villela, Leonardo Soares Bastos, Oswaldo Gonçalves Cruz, Raquel Martins Lana, Marcelo Ferreira da Costa Gomes, M. Gabriela M. Gomes, Roberta Pereira Niquini, Claúdio J. Struchiner and Luiz Max Carvalho. Their work appears in journals such as PLoS ONE, The Journal of the Acoustical Society of America and Emerging infectious diseases.
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.