Fábio P. Machado
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics 27
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods 11
- Random Matrices and Applications 3
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- Complex Network Analysis Techniques 11
- Condensed Matter Physics top 10%
- Theoretical and Computational Physics 13
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- Probability and Risk Models 2
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- Bayesian Methods and Mixture Models 3
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- Mathematical and Theoretical Epidemiology and Ecology Models 3
- Co-authors
- Serguei PopovPablo M. RodríguezLuiz Renato FontesJosé Humberto de QueirózM. G. A. OliveiraNewton Deniz PiovesanNeuza Maria Brunoro CostaJayme A. Souza‐Neto
In The Last Decade
Fábio P. Machado
32 papers receiving 310 citations
Peers
Comparison fields: 5 of 48
- Mathematical Physics 207
- Statistics and Probability 92
- Statistical and Nonlinear Physics 107
- Condensed Matter Physics 71
- Management Science and Operations Research 27
Countries citing papers authored by Fábio P. Machado
This map shows the geographic impact of Fábio P. Machado'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 Fábio P. Machado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fábio P. Machado more than expected).
Fields of papers citing papers by Fábio P. Machado
This network shows the impact of papers produced by Fábio P. Machado. 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 Fábio P. Machado. The network helps show where Fábio P. Machado may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Fábio P. Machado, 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 | 2023 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2020 | 6 | |
| 4 | 2014 | 4 | |
| 5 | 2014 | 5 | |
| 6 | 2013 | 2 | |
| 7 | CLT for the Proportion of Infected Individuals for an Epidemic Model on a Complete Graph | 2011 | 4 |
| 8 | 2011 | 1 | |
| 9 | 2010 | 6 | |
| 10 | 2010 | 1 | |
| 11 | Limit theorems for an epidemic model on the com- plete graph | 2008 | 14 |
| 12 | 2007 | 28 | |
| 13 | 2007 | 44 | |
| 14 | 2006 | 4 | |
| 15 | 2004 | 3 | |
| 16 | 2004 | 10 | |
| 17 | 2003 | 12 | |
| 18 | 2003 | 2 | |
| 19 | 2000 | 11 | |
| 20 | 2000 | 3 |
About Fábio P. Machado
Fábio P. Machado is a scholar working on Mathematical Physics, Statistics and Probability and Condensed Matter Physics, having authored 34 papers that have together received 329 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (27 papers), Theoretical and Computational Physics (13 papers), Complex Network Analysis Techniques (11 papers), Markov Chains and Monte Carlo Methods (11 papers), Bayesian Methods and Mixture Models (3 papers), Random Matrices and Applications (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and Probability and Risk Models (2 papers). The work is most often cited by research in Mathematical Physics (207 citations), Statistics and Probability (92 citations) and Statistical and Nonlinear Physics (107 citations). Fábio P. Machado has collaborated with scholars based in Brazil, Colombia and Russia. Frequent co-authors include Serguei Popov, Pablo M. Rodríguez, Luiz Renato Fontes, José Humberto de Queiróz, M. G. A. Oliveira, Newton Deniz Piovesan, Neuza Maria Brunoro Costa, Jayme A. Souza‐Neto, Paulo Eduardo Martins Ribolla and Denise Valle. Their work appears in journals such as Journal of Statistical Physics, Journal of Applied Probability, Stochastic Processes and their Applications, The Annals of Applied Probability and Advances in Applied Probability.
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.