Luiz Max Carvalho
- Infectious Diseases top 1%
- Epidemiology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Animal Science and Zoology top 2%
- Molecular Biology
- Co-authors
- Andrew RambautOliver G. PybusTommy Tsan‐Yuk LamGytis DudasTrevor BedfordLeonardo Soares BastosDaniel Antunes Maciel VillelaCláudia Torres Codeço
- Topics
- Mosquito-borne diseases and control (9 papers)COVID-19 epidemiological studies (7 papers)Viral Infections and Vectors (7 papers)
- Journals
- CellSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- BrazilUnited KingdomUnited States
In The Last Decade
Luiz Max Carvalho
26 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Infectious Diseases 1.0k
- Epidemiology 541
- Public Health, Environmental and Occupational Health 402
- Animal Science and Zoology 269
- Molecular Biology 261
Countries citing papers authored by Luiz Max Carvalho
This map shows the geographic impact of Luiz Max Carvalho'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 Luiz Max Carvalho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luiz Max Carvalho more than expected).
Fields of papers citing papers by Luiz Max Carvalho
This network shows the impact of papers produced by Luiz Max Carvalho. 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 Luiz Max Carvalho. The network helps show where Luiz Max Carvalho may publish in the future.
Co-authorship network of co-authors of Luiz Max Carvalho
This figure shows the co-authorship network connecting the top 25 collaborators of Luiz Max Carvalho. A scholar is included among the top collaborators of Luiz Max Carvalho 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 Luiz Max Carvalho. Luiz Max Carvalho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 18 | |
| 8 | 12 | |
| 9 | Risco de espalhamento da COVID-19 em populações indígenas: considerações preliminares sobre vulnerabilidade geográfica e sociodemográfica | 8 |
| 10 | 1 | |
| 11 | 153 | |
| 12 | Exploring the temporal structure of heterochronous sequences using TempEst (formerly Path-O-Gen)breakdown → | 1248 |
| 13 | 124 | |
| 14 | 97 | |
| 15 | 24 | |
| 16 | 17 | |
| 17 | 4 | |
| 18 | 15 | |
| 19 | 7 | |
| 20 | 5 |
About Luiz Max Carvalho
Luiz Max Carvalho is a scholar working on Modeling and Simulation, Infectious Diseases and Paleontology, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (9 papers), COVID-19 epidemiological studies (7 papers) and Viral Infections and Vectors (7 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Modeling and Simulation (168 citations) and Virology (154 citations). Luiz Max Carvalho has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include Andrew Rambaut, Oliver G. Pybus, Tommy Tsan‐Yuk Lam, Gytis Dudas, Trevor Bedford, Leonardo Soares Bastos, Daniel Antunes Maciel Villela, Cláudia Torres Codeço, Fernando Portela Câmara and Flávio Codeço Coelho. Their work appears in journals such as Cell, SHILAP Revista de lepidopterología and Bioinformatics.
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.