Max O. Souza
- Sociology and Political Science top 5%
- Public Health, Environmental and Occupational Health top 5%
- Genetics top 5%
- Modeling and Simulation top 2%
- Safety Research top 5%
- Co-authors
- Francisco C. SantosJorge M. PachecoJonathan DawesBrian SkyrmsFabio A. C. C. ChalubAbderrahman IggidrGauthier SalletHelio Schechtman
- Topics
- Evolution and Genetic Dynamics (14 papers)Mathematical and Theoretical Epidemiology and Ecology Models (13 papers)Evolutionary Game Theory and Cooperation (9 papers)
In The Last Decade
Max O. Souza
30 papers receiving 825 citations
Peers
Comparison fields: 5 of 86
- Sociology and Political Science 467
- Public Health, Environmental and Occupational Health 442
- Genetics 439
- Modeling and Simulation 167
- Safety Research 155
Countries citing papers authored by Max O. Souza
This map shows the geographic impact of Max O. Souza'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 Max O. Souza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max O. Souza more than expected).
Fields of papers citing papers by Max O. Souza
This network shows the impact of papers produced by Max O. Souza. 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 Max O. Souza. The network helps show where Max O. Souza may publish in the future.
Co-authorship network of co-authors of Max O. Souza
This figure shows the co-authorship network connecting the top 25 collaborators of Max O. Souza. A scholar is included among the top collaborators of Max O. Souza 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 Max O. Souza. Max O. Souza 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 | 1 | |
| 3 | 5 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 20 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 39 | |
| 10 | 4 | |
| 11 | 21 | |
| 12 | 14 | |
| 13 | 21 | |
| 14 | 137 | |
| 15 | 22 | |
| 16 | 4 | |
| 17 | 27 | |
| 18 | 24 | |
| 19 | 168 | |
| 20 | Global analysis of a class of HIV models with immune response and antigenic variation | 2 |
About Max O. Souza
Max O. Souza is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 32 papers that have together received 847 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (14 papers), Mathematical and Theoretical Epidemiology and Ecology Models (13 papers) and Evolutionary Game Theory and Cooperation (9 papers). The work is most often cited by research in Modeling and Simulation (167 citations), Safety Research (155 citations) and Genetics (439 citations). Max O. Souza has collaborated with scholars based in Brazil, Portugal and France. Frequent co-authors include Francisco C. Santos, Jorge M. Pacheco, Jonathan Dawes, Brian Skyrms, Fabio A. C. C. Chalub, Abderrahman Iggidr, Gauthier Sallet, Helio Schechtman, Nico Stollenwerk and Maíra Aguiar. Their work appears in journals such as PLoS ONE, Proceedings of the Royal Society B Biological Sciences and Journal of Theoretical Biology.
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.