Hélio S. Migon

1.7k total citations
62 papers, 1.1k citations indexed

About

Hélio S. Migon is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Hélio S. Migon has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 12 papers in Finance. Recurrent topics in Hélio S. Migon's work include Statistical Methods and Bayesian Inference (21 papers), Statistical Methods and Inference (12 papers) and Financial Risk and Volatility Modeling (12 papers). Hélio S. Migon is often cited by papers focused on Statistical Methods and Bayesian Inference (21 papers), Statistical Methods and Inference (12 papers) and Financial Risk and Volatility Modeling (12 papers). Hélio S. Migon collaborates with scholars based in Brazil, United States and United Kingdom. Hélio S. Migon's co-authors include P. J. Harrison, Mike West, Dani Gamerman, Francisco Louzada, Thaís C. O. Fonseca, Alexandra M. Schmidt, Carlos A. Abanto‐Valle, Víctor H. Lachos, Hedibert F. Lopes and Marco A. R. Ferreira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Environmental Pollution.

In The Last Decade

Hélio S. Migon

58 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hélio S. Migon Brazil 15 517 291 195 180 157 62 1.1k
Juan Romo Spain 16 596 1.2× 254 0.9× 169 0.9× 188 1.0× 239 1.5× 58 1.2k
Julian Stander United Kingdom 15 362 0.7× 214 0.7× 80 0.4× 160 0.9× 129 0.8× 44 1.4k
Milan Stehlík Austria 17 243 0.5× 160 0.5× 204 1.0× 120 0.7× 137 0.9× 101 821
Javier E. Contreras‐Reyes Chile 21 370 0.7× 236 0.8× 107 0.5× 285 1.6× 202 1.3× 89 1.1k
Thomas A. Severini United States 20 1.2k 2.4× 334 1.1× 125 0.6× 287 1.6× 146 0.9× 79 1.8k
Han Lin Shang Australia 21 498 1.0× 300 1.0× 533 2.7× 436 2.4× 254 1.6× 120 2.0k
Matthew Reimherr United States 17 465 0.9× 199 0.7× 71 0.4× 212 1.2× 216 1.4× 47 1.1k
Pedro Galeano Spain 15 354 0.7× 218 0.7× 63 0.3× 220 1.2× 240 1.5× 40 843
Marco Riani Italy 21 952 1.8× 325 1.1× 173 0.9× 149 0.8× 134 0.9× 88 1.7k
Rui Paulo Spain 8 400 0.8× 300 1.0× 202 1.0× 117 0.7× 43 0.3× 12 1.3k

Countries citing papers authored by Hélio S. Migon

Since Specialization
Citations

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

Fields of papers citing papers by Hélio S. Migon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hélio S. Migon. 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 Hélio S. Migon. The network helps show where Hélio S. Migon may publish in the future.

Co-authorship network of co-authors of Hélio S. Migon

This figure shows the co-authorship network connecting the top 25 collaborators of Hélio S. Migon. A scholar is included among the top collaborators of Hélio S. Migon 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 Hélio S. Migon. Hélio S. Migon 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.
Albani, Vinicius, et al.. (2024). Estimating the number of atmospheric releases and other parameters by Bayesian inference. Air Quality Atmosphere & Health. 17(5). 1007–1019. 1 indexed citations
2.
Migon, Hélio S., et al.. (2024). Variational Bayesian Lasso for spline regression. Computational Statistics. 39(4). 2039–2064.
3.
Albani, Vinicius, et al.. (2023). Bayesian inference and wind field statistical modeling applied to multiple source estimation. Environmental Pollution. 321. 121061–121061. 7 indexed citations
4.
Migon, Hélio S., et al.. (2023). A review of Bayesian dynamic forecasting models: Applications in marketing. Applied Stochastic Models in Business and Industry. 39(3). 471–493. 1 indexed citations
5.
Albani, Vinicius, et al.. (2021). Uncertainty quantification and atmospheric source estimation with a discrepancy-based and a state-dependent adaptative MCMC. Environmental Pollution. 290. 118039–118039. 7 indexed citations
6.
Franco, Glaura C., Hélio S. Migon, & Marcos O. Prates. (2019). Time series of count data: A review, empirical comparisons and data analysis. Brazilian Journal of Probability and Statistics. 33(4). 2 indexed citations
7.
Migon, Hélio S., et al.. (2019). Dynamic Quantile Linear Models: A Bayesian Approach. Bayesian Analysis. 15(2). 10 indexed citations
8.
Cabral, Celso Rômulo Barbosa, Cibele Q. da-Silva, & Hélio S. Migon. (2014). A dynamic linear model with extended skew-normal for the initial distribution of the state parameter. Computational Statistics & Data Analysis. 74. 64–80. 6 indexed citations
9.
Migon, Hélio S., et al.. (2012). Stochastic models for greenhouse gas emission rate estimation from hydroelectric reservoirs: a Bayesian hierarchical approach. Journal of Applied Statistics. 39(5). 1069–1086. 1 indexed citations
10.
Abanto‐Valle, Carlos A., Hélio S. Migon, & Víctor H. Lachos. (2012). Stochastic volatility in mean models with heavy-tailed distributions. Brazilian Journal of Probability and Statistics. 26(4). 11 indexed citations
11.
Migon, Hélio S., et al.. (2011). Dynamic Bayesian beta models. Computational Statistics & Data Analysis. 55(6). 2074–2089. 29 indexed citations
12.
Velarde, Luís Guillermo Coca, et al.. (2006). Hierarchical Bayesian models applied to air surveillance radars. European Journal of Operational Research. 184(3). 1155–1162. 1 indexed citations
13.
Velarde, Luís Guillermo Coca, Hélio S. Migon, & Basílio de Bragança Pereira. (2004). Space–time modeling of rainfall data. Environmetrics. 15(6). 561–576. 11 indexed citations
14.
Migon, Hélio S., Dani Gamerman, & Francisco Louzada. (1999). Statistical inference : an integrated approach. CERN Bulletin. 137 indexed citations
15.
Migon, Hélio S., et al.. (1999). Analise da confiabilidade de itens submetidos a testes acelerados via simulacao estocastica: o efeito da ortogonalizacao de parametros. 60(213). 53–68. 1 indexed citations
16.
Migon, Hélio S., et al.. (1997). Bayesian approximations in randomized response model. Computational Statistics & Data Analysis. 24(4). 401–409. 25 indexed citations
17.
Bassan, R, et al.. (1996). [Hospital mortality in acute myocardial infarction: is it possible to predict using admission data?].. PubMed. 67(3). 149–58. 2 indexed citations
18.
Migon, Hélio S., et al.. (1993). Efeitos dinâmicos dos choques de oferta e demanda agregadas sobre o nível de atividade econômica do Brasil. Revista Brasileira de Economia. 47(2). 177–204. 4 indexed citations
19.
West, Mike, P. J. Harrison, & Hélio S. Migon. (1985). Dynamic Generalized Linear Models and Bayesian Forecasting. Journal of the American Statistical Association. 80(389). 73–83. 363 indexed citations
20.
Harrison, P. J., et al.. (1985). Dynamic Generalized Linear Models and Bayesian Forecasting. Journal of the American Statistical Association. 80(389). 73–73. 53 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Juan Romo Breakdown of academic impact, for papers by Julian Stander Breakdown of academic impact, for papers by Milan Stehlík Breakdown of academic impact, for papers by Javier E. Contreras‐Reyes Breakdown of academic impact, for papers by Thomas A. Severini Breakdown of academic impact, for papers by Han Lin Shang Breakdown of academic impact, for papers by Matthew Reimherr Breakdown of academic impact, for papers by Pedro Galeano Breakdown of academic impact, for papers by Marco Riani Breakdown of academic impact, for papers by Rui Paulo
Rankless by CCL
2026