Sebastián Gonçalves

988 total citations
60 papers, 637 citations indexed

About

Sebastián Gonçalves is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, Sebastián Gonçalves has authored 60 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistical and Nonlinear Physics, 17 papers in Economics and Econometrics and 15 papers in Sociology and Political Science. Recurrent topics in Sebastián Gonçalves's work include Complex Network Analysis Techniques (14 papers), Opinion Dynamics and Social Influence (13 papers) and Complex Systems and Time Series Analysis (10 papers). Sebastián Gonçalves is often cited by papers focused on Complex Network Analysis Techniques (14 papers), Opinion Dynamics and Social Influence (13 papers) and Complex Systems and Time Series Analysis (10 papers). Sebastián Gonçalves collaborates with scholars based in Brazil, Argentina and United States. Sebastián Gonçalves's co-authors include J. R. Iglesias, Guillermo Abramson, Juan Carlos González-Avella, Miguel Kiwi, Marcelo Ferreira da Costa Gomes, H. Bonadeo, V. M. Kenkre, A. R. Bishop, F. C. Stedile and María Fabiana Laguna and has published in prestigious journals such as The Journal of Chemical Physics, Physical review. B, Condensed matter and PLoS ONE.

In The Last Decade

Sebastián Gonçalves

53 papers receiving 622 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sebastián Gonçalves Brazil 16 239 190 106 86 59 60 637
Marija Mitrović Dankulov Serbia 14 402 1.7× 111 0.6× 128 1.2× 28 0.3× 36 0.6× 31 719
Marcelo A. Moret Brazil 18 281 1.2× 289 1.5× 36 0.3× 75 0.9× 114 1.9× 92 1.1k
Danilo Sergi Switzerland 7 337 1.4× 34 0.2× 52 0.5× 33 0.4× 86 1.5× 8 746
Gregorio D’Agostino Italy 12 470 2.0× 41 0.2× 74 0.7× 53 0.6× 134 2.3× 37 887
Paweł Sobkowicz Poland 18 349 1.5× 53 0.3× 265 2.5× 230 2.7× 65 1.1× 48 941
Dafang Zheng China 17 298 1.2× 117 0.6× 219 2.1× 197 2.3× 78 1.3× 48 791
Els Heinsalu Estonia 15 416 1.7× 104 0.5× 44 0.4× 69 0.8× 29 0.5× 42 666
František Slanina Czechia 15 365 1.5× 275 1.4× 73 0.7× 72 0.8× 90 1.5× 56 758
Siew Ann Cheong Singapore 19 179 0.7× 181 1.0× 76 0.7× 249 2.9× 430 7.3× 72 1.3k
Pavel L. Krapivsky United States 3 323 1.4× 41 0.2× 58 0.5× 92 1.1× 68 1.2× 3 704

Countries citing papers authored by Sebastián Gonçalves

Since Specialization
Citations

This map shows the geographic impact of Sebastián Gonçalves'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 Sebastián Gonçalves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastián Gonçalves more than expected).

Fields of papers citing papers by Sebastián Gonçalves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sebastián Gonçalves. 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 Sebastián Gonçalves. The network helps show where Sebastián Gonçalves may publish in the future.

Co-authorship network of co-authors of Sebastián Gonçalves

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastián Gonçalves. A scholar is included among the top collaborators of Sebastián Gonçalves 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 Sebastián Gonçalves. Sebastián Gonçalves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gonçalves, Sebastián, et al.. (2025). Inequality in a model of capitalist economy. Physica A Statistical Mechanics and its Applications. 664. 130457–130457.
2.
Gonçalves, Sebastián, et al.. (2025). Structural roles and gender disparities in corruption networks. Scientific Reports. 15(1). 14201–14201. 1 indexed citations
3.
Gonçalves, Sebastián, et al.. (2024). Wealth distribution on a dynamic complex network. Physica A Statistical Mechanics and its Applications. 652. 130067–130067. 1 indexed citations
4.
Gonçalves, Sebastián, et al.. (2023). Why equal opportunities lead to maximum inequality? The wealth condensation paradox generally solved. Chaos Solitons & Fractals. 168. 113181–113181. 7 indexed citations
5.
Ribeiro, Haroldo V., et al.. (2023). Deep learning criminal networks. Chaos Solitons & Fractals. 172. 113579–113579. 24 indexed citations
6.
Iglesias, J. R., et al.. (2023). Taxes, Inequality, and Equal Opportunities. Entropy. 25(9). 1346–1346. 1 indexed citations
7.
Hanley, Quentin S., et al.. (2022). Universality of political corruption networks. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 12 indexed citations
8.
Laguna, María Fabiana, et al.. (2022). Study of taxes, regulations and inequality using machine learning algorithms. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2224). 20210165–20210165. 7 indexed citations
9.
Gonçalves, Sebastián, et al.. (2022). Machine learning partners in criminal networks. Scientific Reports. 12(1). 15746–15746. 28 indexed citations
10.
Hanley, Quentin S., et al.. (2022). Universality of political corruption networks. Scientific Reports. 12(1). 6858–6858.
11.
Iglesias, J. R., et al.. (2020). Inequality, a scourge of the XXI century. Communications in Nonlinear Science and Numerical Simulation. 95. 105646–105646. 9 indexed citations
12.
Gonçalves, Sebastián, et al.. (2020). Wealth distribution models with regulations: Dynamics and equilibria. Physica A Statistical Mechanics and its Applications. 551. 124201–124201. 23 indexed citations
13.
Gonçalves, Sebastián, et al.. (2020). An analytical solution for the Kermack–McKendrick model. Physica A Statistical Mechanics and its Applications. 566. 125659–125659. 11 indexed citations
14.
Gonçalves, Sebastián, et al.. (2020). Macroscopic and microscopic perspectives for adoption of technologies in the USA. PLoS ONE. 15(12). e0242676–e0242676. 1 indexed citations
15.
Gonçalves, Sebastián, et al.. (2018). Sliding and Dry Friction: Prandtl-Tomlinson Athermal Model Revisited. Brazilian Journal of Physics. 48(6). 585–591. 3 indexed citations
16.
Gonçalves, Sebastián, et al.. (2018). Topology, robustness, and structural controllability of the Brazilian Federal Police criminal intelligence network. Applied Network Science. 3(1). 36–36. 31 indexed citations
17.
Gonçalves, Sebastián. (2016). Key factors in disease spreading: Spatial heterogeneity, time dependence, and human behavior. Physics of Life Reviews. 19. 79–80. 2 indexed citations
18.
Silva, Roberto da, et al.. (2013). Anomalous diffusion in the evolution of soccer championship scores: Real data, mean-field analysis, and an agent-based model. Physical Review E. 88(2). 22136–22136. 6 indexed citations
19.
Gonçalves, Sebastián, et al.. (2012). Epidemics Scenarios in the “Romantic Network”. PLoS ONE. 7(11). e49009–e49009. 4 indexed citations
20.
Gomes, Marcelo Ferreira da Costa & Sebastián Gonçalves. (2009). SIR model with general distribution function in the infectious period. Physica A Statistical Mechanics and its Applications. 388(15-16). 3133–3142. 5 indexed citations

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.

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