World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
37
Citations
4819
World Ranking
2536
National Ranking
20

Heleno Bolfarine publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Heleno Bolfarine sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 257 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Heleno Bolfarine D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Heleno Bolfarine sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 37 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Heleno Bolfarine is affiliated with the Universidade de São Paulo in Brazil and has contributed extensively to the field of mathematics, particularly focusing on statistical distribution estimation, statistical methods, and Bayesian inference.

Their research spans several main fields and subfields of study, including:

  • Mathematics
  • Statistics and Probability
  • Artificial Intelligence
  • Statistics, Probability and Uncertainty
  • Global and Planetary Change
  • Management Science and Operations Research

Key topics within their work include:

  • Statistical Distribution Estimation and Applications
  • Statistical Methods and Bayesian Inference
  • Advanced Statistical Methods and Models
  • Bayesian Methods and Mixture Models
  • Probabilistic and Robust Engineering Design
  • Hydrology and Drought Analysis
  • Statistical Methods and Inference

The scientist has published papers in various academic venues, predominantly in mathematics and statistics journals, such as:

  • Mathematics
  • Journal of Data Science
  • Symmetry
  • Brazilian Journal of Probability and Statistics
  • Communications in Statistics - Simulation and Computation

Notable recent papers authored or co-authored by Heleno Bolfarine include:

  • "Skew-normal Linear Mixed Models," 2021, Journal of Data Science
  • "The Log-exponentiated-Weibull Regression Models with Cure Rate: Local Influence and Residual Analysis," 2021, Journal of Data Science
  • "Linear mixed models based on skew scale mixtures of normal distributions," 2020, Communications in Statistics - Simulation and Computation
  • "On Properties of the Bimodal Skew-Normal Distribution and an Application," 2020, Mathematics
  • "Unification of Families of Birnbaum-Saunders Distributions with Applications," 2022, DOAJ (DOAJ: Directory of Open Access Journals)

Heleno Bolfarine has collaborated frequently with other researchers, with several co-authors appearing in multiple works, including:

  • Guillermo Martínez-Flórez
  • Manuel Galea
  • Mário de Castro
  • Héctor W. Gómez
  • Víctor H. Lachos

In addition to articles, they have contributed to the academic community with at least one book published by Springer International Publishing:

  • Regression Models for the Comparison of Measurement Methods, 2020

Best Publications

  • Skew-normal Linear Mixed Models

    R. B. Arellano-Valle;H. Bolfarine;V. H. Lachos

  • Prediction Theory for Finite Populations

    Heleno Bolfarine;Shelemyahu Zacks

  • Bayesian Inference for Skew-normal Linear Mixed Models

    R.B. Arellano-Valle;H. Bolfarine;V.H. Lachos

  • A skew item response model

    Jorge L. Bazán;Márcia D. Branco;Heleno Bolfarine

  • Skew-symmetric distributions generated by the distribution function of the normal distribution

    Héctor W. Gómez;Osvaldo Venegas;Heleno Bolfarine

  • Influence diagnostics in generalized log-gamma regression models

    Edwin M. M. Ortega;Heleno Bolfarine;Gilberto A. Paula

  • Local influence in elliptical linear regression models

    Manuel Galea;Gilberto A. Paula;Heleno Bolfarine

  • An extension of the generalized Birnbaum–Saunders distribution

    Héctor W. Gómez;Héctor W. Gómez;Juan F. Olivares-Pacheco;Heleno Bolfarine

  • Introdução a inferência estatística

    Heleno Bolfarine;Monica Carneiro Sandoval

  • On some characterizations of the t-distribution

    Reinaldo B. Arellano-Valle;Heleno Bolfarine

  • An extension of the half-normal distribution

    Neveka M. Olmos;Héctor Varela;Héctor W. Gómez;Heleno Bolfarine

  • Skew scale mixtures of normal distributions: Properties and estimation

    Clécio da Silva Ferreira;Heleno Bolfarine;Víctor H. Lachos

  • Skew normal measurement error models

    R. B. Arellano-Valle;S. Ozan;H. Bolfarine;V. H. Lachos

  • Bayesian inference for a skew-normal IRT model under the centred parameterization

    Caio L. N. Azevedo;Heleno Bolfarine;Dalton F. Andrade

  • Bayes and minimax prediction in finite populations

    H. Bolfarine;S. Zacks

  • Likelihood-based inference for power distributions

    Arthur Richard Pewsey;Hector W. Gómez;Heleno Bolfarine

  • Likelihood-Based Inference for Multivariate Skew-Normal Regression Models

    Víctor H. Lachos;Heleno Bolfarine;Reinaldo B. Arellano-Valle;Lourdes C. Montenegro

  • Population variance prediction under normal dynamic superpopulation models

    Heleno Bolfarine

  • A New Extension of the Exponential Distribution

    Yolanda M. Gómez;Heleno Bolfarine;Héctor W. Gómez

  • Bimodal extension based on the skew-normal distribution with application to pollen data

    Héctor W. Gómez;David Elal-Olivero;Hugo S. Salinas;Heleno Bolfarine

Frequent Co-Authors

Victor H. Lachos
Victor H. Lachos University of Connecticut
Edwin M. M. Ortega
Edwin M. M. Ortega Universidade de São Paulo
Gilberto A. Paula
Gilberto A. Paula Universidade de São Paulo
Gauss M. Cordeiro
Gauss M. Cordeiro Federal University of Pernambuco
Barry C. Arnold
Barry C. Arnold University of California, Riverside
Artur J. Lemonte
Artur J. Lemonte Federal University of Rio Grande do Norte

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