Wagner Barreto‐Souza

1.6k total citations
41 papers, 1.2k citations indexed

About

Wagner Barreto‐Souza is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty. According to data from OpenAlex, Wagner Barreto‐Souza has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Statistics and Probability, 17 papers in Finance and 12 papers in Statistics, Probability and Uncertainty. Recurrent topics in Wagner Barreto‐Souza's work include Statistical Distribution Estimation and Applications (28 papers), Financial Risk and Volatility Modeling (16 papers) and Statistical Methods and Bayesian Inference (14 papers). Wagner Barreto‐Souza is often cited by papers focused on Statistical Distribution Estimation and Applications (28 papers), Financial Risk and Volatility Modeling (16 papers) and Statistical Methods and Bayesian Inference (14 papers). Wagner Barreto‐Souza collaborates with scholars based in Brazil, Saudi Arabia and Ireland. Wagner Barreto‐Souza's co-authors include Gauss M. Cordeiro, Alexandre B. Simas, Andréa V. Rocha, Artur J. Lemonte, Francisco Cribari‐Neto, Rodrigo B. Silva, Marcelo Bourguignon, Hernando Ombao, Klaus L. P. Vasconcellos and Nial Friel and has published in prestigious journals such as Journal of Business and Economic Statistics, International Journal of Forecasting and Applied Mathematical Modelling.

In The Last Decade

Wagner Barreto‐Souza

39 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wagner Barreto‐Souza Brazil 15 993 548 253 211 142 41 1.2k
Gamze Özel Türkiye 17 757 0.8× 408 0.7× 173 0.7× 136 0.6× 114 0.8× 108 972
Gilberto A. Paula Brazil 26 1.6k 1.6× 383 0.7× 82 0.3× 164 0.8× 214 1.5× 92 1.9k
Mustafa Ç. Korkmaz Türkiye 22 1.1k 1.1× 572 1.0× 220 0.9× 192 0.9× 167 1.2× 65 1.2k
Gemai Chen Canada 21 1.2k 1.2× 1.0k 1.9× 106 0.4× 128 0.6× 218 1.5× 66 1.7k
Helton Saulo Brazil 19 715 0.7× 307 0.6× 84 0.3× 175 0.8× 110 0.8× 82 987
Vicente G. Cancho Brazil 23 1.4k 1.4× 412 0.8× 126 0.5× 90 0.4× 275 1.9× 102 1.6k
D. K. Al-Mutairi Kuwait 13 987 1.0× 668 1.2× 167 0.7× 100 0.5× 110 0.8× 38 1.1k
Emrah Altun Türkiye 22 1.3k 1.3× 629 1.1× 248 1.0× 264 1.3× 220 1.5× 93 1.4k
Kahadawala Cooray United States 10 437 0.4× 231 0.4× 112 0.4× 110 0.5× 122 0.9× 19 562
J. C. Naylor United Kingdom 9 666 0.7× 347 0.6× 137 0.5× 80 0.4× 116 0.8× 11 979

Countries citing papers authored by Wagner Barreto‐Souza

Since Specialization
Citations

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

Fields of papers citing papers by Wagner Barreto‐Souza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wagner Barreto‐Souza. 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 Wagner Barreto‐Souza. The network helps show where Wagner Barreto‐Souza may publish in the future.

Co-authorship network of co-authors of Wagner Barreto‐Souza

This figure shows the co-authorship network connecting the top 25 collaborators of Wagner Barreto‐Souza. A scholar is included among the top collaborators of Wagner Barreto‐Souza 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 Wagner Barreto‐Souza. Wagner Barreto‐Souza 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.
Barreto‐Souza, Wagner, et al.. (2024). Determining economic factors for sex trafficking in the United States using count time series regression. Empirical Economics. 67(1). 337–354. 1 indexed citations
2.
Barreto‐Souza, Wagner, et al.. (2024). Gamma-Driven Markov Processes and Extensions with Application to Realized Volatility. Journal of Business and Economic Statistics. 43(1). 14–26. 1 indexed citations
3.
Barreto‐Souza, Wagner, et al.. (2024). Poisson–Birnbaum–Saunders regression model for clustered count data. The Annals of Applied Statistics. 18(4).
4.
Barreto‐Souza, Wagner & Ngai Hang Chan. (2023). Nearly unstable integer‐valued ARCH process and unit root testing. Scandinavian Journal of Statistics. 51(1). 402–424. 3 indexed citations
5.
Barreto‐Souza, Wagner, et al.. (2023). A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference. Statistics and Computing. 34(1). 2 indexed citations
6.
Barreto‐Souza, Wagner, et al.. (2022). Student‐t stochastic volatility model with composite likelihood EM‐algorithm. Journal of Time Series Analysis. 44(1). 125–147. 2 indexed citations
7.
Friel, Nial, et al.. (2022). Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference. Journal of Computational and Graphical Statistics. 32(2). 483–500. 8 indexed citations
8.
Barreto‐Souza, Wagner, et al.. (2021). Integer-valued autoregressive processes with prespecified marginal and innovation distributions: a novel perspective. Stochastic Models. 38(1). 70–90. 7 indexed citations
9.
Barreto‐Souza, Wagner, et al.. (2021). A Generalized Heckman Model With Varying Sample Selection Bias and Dispersion Parameters. Statistica Sinica. 1 indexed citations
10.
Barreto‐Souza, Wagner, et al.. (2020). Flexible regression models for counts with high-inflation of zeros. METRON. 78(1). 71–95. 4 indexed citations
11.
Barreto‐Souza, Wagner. (2017). Mixed Poisson INAR(1) processes. Statistical Papers. 60(6). 2119–2139. 21 indexed citations
12.
Barreto‐Souza, Wagner & Alexandre B. Simas. (2015). General mixed Poisson regression models with varying dispersion. Statistics and Computing. 26(6). 1263–1280. 20 indexed citations
13.
Barreto‐Souza, Wagner & Marcelo Bourguignon. (2014). A skew INAR(1) process on $${\mathbb {Z}}$$ Z. AStA Advances in Statistical Analysis. 99(2). 189–208. 26 indexed citations
14.
Barreto‐Souza, Wagner, Artur J. Lemonte, & Gauss M. Cordeiro. (2013). General results for the Marshall and Olkin's family of distributions. Anais da Academia Brasileira de Ciências. 85(1). 3–21. 46 indexed citations
15.
Barreto‐Souza, Wagner. (2012). Bivariate gamma-geometric law and its induced Lévy process. Journal of Multivariate Analysis. 109. 130–145. 9 indexed citations
16.
Barreto‐Souza, Wagner, Gauss M. Cordeiro, & Alexandre B. Simas. (2010). Some Results for Beta Fréchet Distribution. Communication in Statistics- Theory and Methods. 40(5). 798–811. 71 indexed citations
17.
Barreto‐Souza, Wagner, et al.. (2010). A compound class of Weibull and power series distributions. Computational Statistics & Data Analysis. 55(3). 1410–1425. 123 indexed citations
18.
Barreto‐Souza, Wagner, et al.. (2009). The beta generalized exponential distribution. Journal of Statistical Computation and Simulation. 80(2). 159–172. 188 indexed citations
19.
Simas, Alexandre B., Wagner Barreto‐Souza, & Andréa V. Rocha. (2009). Improved estimators for a general class of beta regression models. Computational Statistics & Data Analysis. 54(2). 348–366. 214 indexed citations
20.
Silva, Rodrigo B., Wagner Barreto‐Souza, & Gauss M. Cordeiro. (2009). A new distribution with decreasing, increasing and upside-down bathtub failure rate. Computational Statistics & Data Analysis. 54(4). 935–944. 69 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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