Marcelo Bourguignon

2.5k total citations · 1 hit paper
109 papers, 1.5k citations indexed

About

Marcelo Bourguignon is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance. According to data from OpenAlex, Marcelo Bourguignon has authored 109 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Statistics and Probability, 41 papers in Statistics, Probability and Uncertainty and 33 papers in Finance. Recurrent topics in Marcelo Bourguignon's work include Statistical Distribution Estimation and Applications (71 papers), Financial Risk and Volatility Modeling (33 papers) and Probabilistic and Robust Engineering Design (27 papers). Marcelo Bourguignon is often cited by papers focused on Statistical Distribution Estimation and Applications (71 papers), Financial Risk and Volatility Modeling (33 papers) and Probabilistic and Robust Engineering Design (27 papers). Marcelo Bourguignon collaborates with scholars based in Brazil, Chile and United States. Marcelo Bourguignon's co-authors include Gauss M. Cordeiro, Rodrigo B. Silva, Klaus L. P. Vasconcellos, Manoel Santos‐Neto, Jeremias Leão, Helton Saulo, Diego I. Gallardo, Linda Lee Ho, Wagner Barreto‐Souza and Fernando Ferraz do Nascimento and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Statistics in Medicine.

In The Last Decade

Marcelo Bourguignon

102 papers receiving 1.4k citations

Hit Papers

The Weibull-G Family of Probability Distributions 2021 2026 2022 2024 2021 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Weibull-G Family of Probability Distributions
    2021 259 citations Marcelo Bourguignon, Rodrigo B. Silva et al. Journal of Data Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcelo Bourguignon Brazil 20 1.3k 649 310 304 203 109 1.5k
Emrah Altun Türkiye 22 1.3k 1.1× 629 1.0× 248 0.8× 264 0.9× 248 1.2× 93 1.4k
Hassan S. Bakouch Egypt 19 1.4k 1.1× 700 1.1× 270 0.9× 468 1.5× 283 1.4× 154 1.7k
Mustafa Ç. Korkmaz Türkiye 22 1.1k 0.9× 572 0.9× 220 0.7× 192 0.6× 140 0.7× 65 1.2k
Miroslav M. Ristić Serbia 22 1.2k 0.9× 532 0.8× 213 0.7× 568 1.9× 202 1.0× 59 1.4k
Ibrahim Elbatal Saudi Arabia 22 1.5k 1.2× 881 1.4× 390 1.3× 215 0.7× 143 0.7× 145 1.6k
Ayman Alzaatreh United Arab Emirates 18 1.8k 1.4× 1.2k 1.8× 557 1.8× 288 0.9× 181 0.9× 79 2.1k
Artur J. Lemonte Brazil 27 2.0k 1.6× 1.0k 1.6× 346 1.1× 220 0.7× 283 1.4× 114 2.2k
Mohamed S. Eliwa Egypt 21 962 0.8× 455 0.7× 260 0.8× 100 0.3× 175 0.9× 88 1.2k
Ahmed M. Gemeay Egypt 20 1.0k 0.8× 494 0.8× 184 0.6× 145 0.5× 128 0.6× 123 1.1k
Gamze Özel Türkiye 17 757 0.6× 408 0.6× 173 0.6× 136 0.4× 101 0.5× 108 972

Countries citing papers authored by Marcelo Bourguignon

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Bourguignon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcelo Bourguignon

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Bourguignon. A scholar is included among the top collaborators of Marcelo Bourguignon 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 Marcelo Bourguignon. Marcelo Bourguignon 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.
Bourguignon, Marcelo & Diego I. Gallardo. (2025). A general and unified class of gamma regression models. Chemometrics and Intelligent Laboratory Systems. 261. 105382–105382. 1 indexed citations
2.
Gallardo, Diego I., et al.. (2025). The Shared Weighted Lindley Frailty Model for Clustered Failure Time Data. Biometrical Journal. 67(2). e70044–e70044.
3.
Balakrishnan, N., et al.. (2024). On the distribution of a random variable involved in an independent ratio. Communication in Statistics- Theory and Methods. 54(5). 1427–1440. 1 indexed citations
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.
Kokonendji, Célestin C., et al.. (2024). Mean and Variance for Count Regression Models Based on Reparameterized Distributions. Sankhya B. 86(1). 280–310.
6.
Gallardo, Diego I., et al.. (2023). An In-Depth Review of the Weibull Model with a Focus on Various Parameterizations. Mathematics. 12(1). 56–56. 18 indexed citations
7.
Gallardo, Diego I., et al.. (2023). Scale Mixture of Maxwell-Boltzmann Distribution. Mathematics. 11(3). 529–529. 3 indexed citations
8.
Bourguignon, Marcelo, et al.. (2023). On the Bimodal Gumbel Model with Application to Environmental Data. SHILAP Revista de lepidopterología. 52(2). 45–65. 4 indexed citations
9.
Saulo, Helton, et al.. (2023). Modeling Income Data via New Parametric Quantile Regressions: Formulation, Computational Statistics, and Application. Mathematics. 11(2). 448–448. 6 indexed citations
10.
Menezes, André F. B., et al.. (2022). A model for bimodal rates and proportions. Journal of Applied Statistics. 51(4). 664–681. 4 indexed citations
11.
Bourguignon, Marcelo, Rodrigo B. Silva, & Gauss M. Cordeiro. (2021). The Weibull-G Family of Probability Distributions. Journal of Data Science. 12(1). 53–68. 91 indexed citations
12.
Bourguignon, Marcelo, et al.. (2021). A simple and useful regression model for underdispersed count data based on Bernoulli–Poisson convolution. Statistical Papers. 63(3). 821–848. 10 indexed citations
13.
Bourguignon, Marcelo, et al.. (2020). INAR(1) Processes with Inflated-parameter Generalized Power Series Innovations. 12(2). 1 indexed citations
14.
Nascimento, Fernando Ferraz do, et al.. (2020). A change-point model for the r-largest order statistics with applications to environmental and financial data. Applied Mathematical Modelling. 82. 666–679. 6 indexed citations
15.
Marinho, Pedro Rafael Diniz, Rodrigo B. Silva, Marcelo Bourguignon, Gauss M. Cordeiro, & Saralees Nadarajah. (2019). AdequacyModel: An R package for probability distributions and general purpose optimization. PLoS ONE. 14(8). e0221487–e0221487. 54 indexed citations
16.
Khan, Naushad Mamode, et al.. (2018). An INAR(1) model with Poisson-Lindley innovations. Economics bulletin. 38(3). 1505–1513. 21 indexed citations
17.
Bourguignon, Marcelo, et al.. (2018). A new geometric INAR(1) process based on counting series with deflation or inflation of zeros. Journal of Statistical Computation and Simulation. 88(17). 3338–3348. 8 indexed citations
18.
Cordeiro, Gauss M., et al.. (2017). The Exponentiated Generalized Standardized Half-logistic Distribution. International Journal of Statistics and Probability. 6(3). 24–24. 14 indexed citations
19.
Silva, Rodrigo B., Marcelo Bourguignon, & Gauss M. Cordeiro. (2016). A new compounding family of distributions: The generalized gamma power series distributions. Journal of Computational and Applied Mathematics. 303. 119–139. 3 indexed citations
20.
Cordeiro, Gauss M. & Marcelo Bourguignon. (2016). New results on the Ristić–Balakrishnan family of distributions. Communication in Statistics- Theory and Methods. 45(23). 6969–6988. 6 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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