Sansao A. Pedro
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 6
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- Viral Infections and Vectors 6
- Viral Infections and Outbreaks Research 2
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- Mathematical and Theoretical Epidemiology and Ecology Models 8
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- Fire effects on ecosystems 3
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- Influenza Virus Research Studies 2
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- Mental Health Research Topics 1
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- Agricultural risk and resilience 1
- Co-authors
- Henri E. Z. TonnangFrank T. NdjomatchouaJean M. TchuencheShirley AbelmanP JentschChris T. BauchMadhur AnandHerieth Rwezaura
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- PLoS ONE (1 paper)Journal of Theoretical Biology (1 paper)PLoS neglected tropical diseases (1 paper)
- Partner nations
- MozambiqueSouth AfricaKenya
In The Last Decade
Sansao A. Pedro
13 papers receiving 174 citations
Peers
Comparison fields: 5 of 62
- Modeling and Simulation 66
- Infectious Diseases 81
- Public Health, Environmental and Occupational Health 94
- Global and Planetary Change 33
- Statistical and Nonlinear Physics 13
Countries citing papers authored by Sansao A. Pedro
This map shows the geographic impact of Sansao A. Pedro'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 Sansao A. Pedro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sansao A. Pedro more than expected).
Fields of papers citing papers by Sansao A. Pedro
This network shows the impact of papers produced by Sansao A. Pedro. 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 Sansao A. Pedro. The network helps show where Sansao A. Pedro may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Sansao A. Pedro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 12 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 50 | |
| 7 | 2018 | 35 | |
| 8 | 2018 | 3 | |
| 9 | 2016 | 14 | |
| 10 | 2016 | 3 | |
| 11 | 2016 | 20 | |
| 12 | 2014 | 21 | |
| 13 | 2010 | 8 |
About Sansao A. Pedro
Sansao A. Pedro is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 182 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), COVID-19 epidemiological studies (6 papers), Viral Infections and Vectors (6 papers), Fire effects on ecosystems (3 papers), Influenza Virus Research Studies (2 papers), Viral Infections and Outbreaks Research (2 papers), Mental Health Research Topics (1 paper) and Agricultural risk and resilience (1 paper). The work is most often cited by research in Modeling and Simulation (66 citations), Infectious Diseases (81 citations) and Public Health, Environmental and Occupational Health (94 citations). Sansao A. Pedro has collaborated with scholars based in Mozambique, South Africa and Kenya. Frequent co-authors include Henri E. Z. Tonnang, Frank T. Ndjomatchoua, Jean M. Tchuenche, Shirley Abelman, P Jentsch, Chris T. Bauch, Madhur Anand, Herieth Rwezaura, F. M. Moukam Kakmeni and James M. Mutunga. Their work appears in journals such as PLoS ONE, Journal of Theoretical Biology and PLoS neglected tropical 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.