Helton Saulo

1.4k total citations
82 papers, 987 citations indexed

About

Helton Saulo is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty. According to data from OpenAlex, Helton Saulo has authored 82 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Statistics and Probability, 21 papers in Finance and 19 papers in Statistics, Probability and Uncertainty. Recurrent topics in Helton Saulo's work include Statistical Distribution Estimation and Applications (52 papers), Advanced Statistical Methods and Models (19 papers) and Statistical Methods and Inference (19 papers). Helton Saulo is often cited by papers focused on Statistical Distribution Estimation and Applications (52 papers), Advanced Statistical Methods and Models (19 papers) and Statistical Methods and Inference (19 papers). Helton Saulo collaborates with scholars based in Brazil, Chile and United States. Helton Saulo's co-authors include Víctor Leiva, Carolina Marchant, Jeremias Leão, Vera Tomazella, Marcelo Bourguignon, Manuel Galea, Fabrizio Ruggeri, Robert G. Aykroyd, Fernando Rojas and Muhammad Aslam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Statistics in Medicine.

In The Last Decade

Helton Saulo

77 papers receiving 961 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helton Saulo Brazil 19 715 307 175 158 110 82 987
Carolina Marchant Chile 16 531 0.7× 282 0.9× 89 0.5× 125 0.8× 95 0.9× 30 827
Gamze Özel Türkiye 17 757 1.1× 408 1.3× 136 0.8× 101 0.6× 114 1.0× 108 972
Michelli Barros Brazil 12 563 0.8× 201 0.7× 77 0.4× 127 0.8× 74 0.7× 20 674
Gilberto A. Paula Brazil 26 1.6k 2.3× 383 1.2× 164 0.9× 344 2.2× 214 1.9× 92 1.9k
Wagner Barreto‐Souza Brazil 15 993 1.4× 548 1.8× 211 1.2× 133 0.8× 142 1.3× 41 1.2k
S. Ejaz Ahmed Canada 17 785 1.1× 134 0.4× 98 0.6× 156 1.0× 104 0.9× 159 1.1k
Mustafa Ç. Korkmaz Türkiye 22 1.1k 1.6× 572 1.9× 192 1.1× 140 0.9× 167 1.5× 65 1.2k
Marcelo Bourguignon Brazil 20 1.3k 1.7× 649 2.1× 304 1.7× 203 1.3× 156 1.4× 109 1.5k
Emilio Gómez–Déniz Spain 19 894 1.3× 343 1.1× 199 1.1× 272 1.7× 395 3.6× 140 1.4k
Milan Stehlík Austria 17 243 0.3× 142 0.5× 137 0.8× 160 1.0× 204 1.9× 101 821

Countries citing papers authored by Helton Saulo

Since Specialization
Citations

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

Fields of papers citing papers by Helton Saulo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helton Saulo

This figure shows the co-authorship network connecting the top 25 collaborators of Helton Saulo. A scholar is included among the top collaborators of Helton Saulo 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 Helton Saulo. Helton Saulo 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.
Carvalho, Aline Reis de, et al.. (2025). Multiscale Stochastic Models for Bitcoin: Fractional Brownian Motion and Duration-Based Approaches. SHILAP Revista de lepidopterología. 4(3). 51–51.
2.
Balakrishnan, N., et al.. (2024). An upper bound and a characterization for Gini’s mean difference based on correlated random variables. Statistics & Probability Letters. 207. 110032–110032. 1 indexed citations
3.
4.
Bourguignon, Marcelo, Diego I. Gallardo, & Helton Saulo. (2024). Parametric Quantile Beta Regression Model. International Statistical Review. 92(1). 106–129. 3 indexed citations
5.
Fonseca, Tiago A. da, et al.. (2024). Assessing the Impact of Copula Selection on Reliability Measures of Type P(X < Y) with Generalized Extreme Value Marginals. SHILAP Revista de lepidopterología. 5(1). 180–200. 3 indexed citations
6.
7.
Saulo, Helton, et al.. (2023). A bivariate approach to the Mincerian earnings equation. Revista Brasileira de Economia. 77. 1 indexed citations
8.
Saulo, Helton, et al.. (2023). Parametric quantile autoregressive moving average models with exogenous terms. Statistical Papers. 65(3). 1613–1643. 2 indexed citations
9.
Boing, Alexandra Crispim, et al.. (2022). Gastos catastróficos em saúde: análise da associação com condições socioeconômicas em Minas Gerais, Brasil. Ciência & Saúde Coletiva. 27(1). 325–334. 4 indexed citations
10.
Vilca, Filidor, et al.. (2022). Theoretical results and modeling under the discrete Birnbaum-Saunders distribution. Communication in Statistics- Theory and Methods. 53(5). 1745–1759. 2 indexed citations
11.
Leiva, Víctor, et al.. (2021). A New Quantile Regression Model and Its Diagnostic Analytics for a Weibull Distributed Response with Applications. Mathematics. 9(21). 2768–2768. 13 indexed citations
12.
Leão, Jeremias, et al.. (2021). Bayesian inference for the log-symmetric autoregressive conditional duration model. Anais da Academia Brasileira de Ciências. 93(4). e20190301–e20190301. 2 indexed citations
13.
Leiva, Víctor, et al.. (2020). Birnbaum-Saunders Quantile Regression Models with Application to Spatial Data. Mathematics. 8(6). 1000–1000. 30 indexed citations
14.
Leiva, Víctor, et al.. (2020). Birnbaum‐Saunders quantile regression and its diagnostics with application to economic data. Applied Stochastic Models in Business and Industry. 37(1). 53–73. 45 indexed citations
15.
Leiva, Víctor, et al.. (2020). Global and local diagnostic analytics for a geostatistical model based on a new approach to quantile regression. Stochastic Environmental Research and Risk Assessment. 34(10). 1457–1471. 18 indexed citations
16.
Saulo, Helton, et al.. (2019). Log‐symmetric regression models: information criteria and application to movie business and industry data with economic implications. Applied Stochastic Models in Business and Industry. 35(4). 963–977. 35 indexed citations
17.
Saulo, Helton, Jeremias Leão, & Manoel Santos‐Neto. (2018). Discussion of “Birnbaum‐Saunders distribution: A review of models, analysis, and applications” by N. Balakrishnan and Debasis Kundu. Applied Stochastic Models in Business and Industry. 35(1). 118–121. 1 indexed citations
18.
Saulo, Helton, et al.. (2017). On log-symmetric duration models applied to high frequency financial data. Economics bulletin. 37(2). 1089–1097. 7 indexed citations
19.
Saulo, Helton, et al.. (2017). On a tobit–Birnbaum–Saunders model with an application to medical data. Journal of Applied Statistics. 45(5). 932–955. 25 indexed citations
20.
Leiva, Víctor, Carolina Marchant, Helton Saulo, Muhammad Aslam, & Fernando Rojas. (2014). Capability indices for Birnbaum–Saunders processes applied to electronic and food industries. Journal of Applied Statistics. 41(9). 1881–1902. 81 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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