Fabio A. C. C. Chalub
- Modeling and Simulation top 1%
- Sociology and Political Science top 5%
- Genetics top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Francisco C. SantosJorge M. PachecoMax O. SouzaChristian SchmeiserPeter A. MarkowichBenoı̂t PerthameSven Van SegbroeckDavid Dingli
- Topics
- Evolutionary Game Theory and Cooperation (14 papers)Evolution and Genetic Dynamics (12 papers)Mathematical and Theoretical Epidemiology and Ecology Models (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaBritish Journal of CancerJournal of Theoretical Biology
In The Last Decade
Fabio A. C. C. Chalub
30 papers receiving 675 citations
Peers
Comparison fields: 5 of 94
- Modeling and Simulation 309
- Sociology and Political Science 295
- Genetics 213
- Molecular Biology 159
- Public Health, Environmental and Occupational Health 156
Countries citing papers authored by Fabio A. C. C. Chalub
This map shows the geographic impact of Fabio A. C. C. Chalub'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 Fabio A. C. C. Chalub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio A. C. C. Chalub more than expected).
Fields of papers citing papers by Fabio A. C. C. Chalub
This network shows the impact of papers produced by Fabio A. C. C. Chalub. 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 Fabio A. C. C. Chalub. The network helps show where Fabio A. C. C. Chalub may publish in the future.
Co-authorship network of co-authors of Fabio A. C. C. Chalub
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio A. C. C. Chalub. A scholar is included among the top collaborators of Fabio A. C. C. Chalub 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 Fabio A. C. C. Chalub. Fabio A. C. C. Chalub 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 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 14 | |
| 10 | 21 | |
| 11 | 27 | |
| 12 | 6 | |
| 13 | Dividir para governar | 0 |
| 14 | 24 | |
| 15 | 64 | |
| 16 | 1 | |
| 17 | 79 | |
| 18 | 137 | |
| 19 | Stern-Judging: A Simple, Successful Norm Which Promotes Cooperation under Indirect | 1 |
| 20 | 5 |
About Fabio A. C. C. Chalub
Fabio A. C. C. Chalub is a scholar working on Modeling and Simulation, Mathematical Physics and Safety Research, having authored 35 papers that have together received 711 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (14 papers), Evolution and Genetic Dynamics (12 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (9 papers). The work is most often cited by research in Modeling and Simulation (309 citations), Safety Research (111 citations) and Statistical and Nonlinear Physics (103 citations). Fabio A. C. C. Chalub has collaborated with scholars based in Portugal, Brazil and Belgium. Frequent co-authors include Francisco C. Santos, Jorge M. Pacheco, Max O. Souza, Christian Schmeiser, Peter A. Markowich, Benoı̂t Perthame, Sven Van Segbroeck, David Dingli, Dietmar Oelz and José Francisco Rodrigues. Their work appears in journals such as SHILAP Revista de lepidopterología, British Journal of Cancer 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.