S. Picoli
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
- COVID-19 epidemiological studies
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- Statistical Mechanics and Entropy
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Complex Network Analysis Techniques 6
- Statistical Mechanics and Entropy 6
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- Complex Systems and Time Series Analysis 10
- Co-authors
- R. S. Mendes (21 shared papers)L. C. Malacarne (13 shared papers)Haroldo V. Ribeiro (9 shared papers)E. K. Lenzi (8 shared papers)P. A. Santoro (3 shared papers)Jorge Juarez Vieira Teixeira (3 shared papers)Luiz G. A. Alves (1 shared paper)Liliana Gavinha Costa (1 shared paper)
In The Last Decade
S. Picoli
24 papers receiving 487 citations
Peers
Comparison fields: 5 of 88
- Modeling and Simulation 91
- Statistical and Nonlinear Physics 207
- Statistics and Probability 86
- Economics and Econometrics 160
- Statistics, Probability and Uncertainty 38
Countries citing papers authored by S. Picoli
This map shows the geographic impact of S. Picoli'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 S. Picoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Picoli more than expected).
Fields of papers citing papers by S. Picoli
This network shows the impact of papers produced by S. Picoli. 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 S. Picoli. The network helps show where S. Picoli may publish in the future.
Co-authors
The 18 scholars most cited alongside S. Picoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 86 | |
| 2 | 2003 | 67 | |
| 3 | 2015 | 51 | |
| 4 | 2012 | 31 | |
| 5 | 2011 | 28 | |
| 6 | 2005 | 26 | |
| 7 | 2008 | 21 | |
| 8 | 2014 | 21 | |
| 9 | 2010 | 19 | |
| 10 | 2017 | 17 | |
| 11 | 2013 | 16 | |
| 12 | 2017 | 16 | |
| 13 | 2006 | 14 | |
| 14 | 2011 | 13 | |
| 15 | Dynamics of tournaments: the soccer case: A random walk approach modeling soccer leagues | 2010 | 13 |
| 16 | 2010 | 13 | |
| 17 | 2007 | 13 | |
| 18 | 2014 | 11 | |
| 19 | 2005 | 11 | |
| 20 | 2012 | 4 |
About S. Picoli
S. Picoli is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics, Modeling and Simulation, Molecular Biology and Sociology and Political Science, having authored 25 papers that have together received 504 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (10 papers), Complex Network Analysis Techniques (6 papers), Statistical Mechanics and Entropy (6 papers), COVID-19 epidemiological studies (3 papers), Statistical Distribution Estimation and Applications (3 papers), Fractional Differential Equations Solutions (3 papers), Theoretical and Computational Physics (2 papers) and Fractal and DNA sequence analysis (2 papers). The work is most often cited by research in Modeling and Simulation (91 citations), Statistical and Nonlinear Physics (207 citations), Statistics and Probability (86 citations), Economics and Econometrics (160 citations) and Statistics, Probability and Uncertainty (38 citations). S. Picoli has collaborated with scholars based in Brazil, Mexico and Indonesia. Frequent co-authors include R. S. Mendes, L. C. Malacarne, Haroldo V. Ribeiro, E. K. Lenzi, P. A. Santoro, Jorge Juarez Vieira Teixeira, Luiz G. A. Alves, Liliana Gavinha Costa, Marcos V. Moro and L. R. da Silva. Their work appears in journals such as Europhysics Letters (EPL), Physica A Statistical Mechanics and its Applications, The European Physical Journal B, PLoS ONE and Scientific Reports.
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.