D-Index & Metrics Best Publications
Mathematics
Brazil
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mathematics D-index 68 Citations 14,409 483 World Ranking 229 National Ranking 1

Research.com Recognitions

Awards & Achievements

2023 - Research.com Mathematics in Brazil Leader Award

2022 - Research.com Mathematics in Brazil Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Normal distribution
  • Probability distribution

Gauss M. Cordeiro mostly deals with Applied mathematics, Statistics, Order statistic, Weibull distribution and Exponentiated Weibull distribution. A large part of his Applied mathematics studies is devoted to Natural exponential family. His Order statistic study combines topics in areas such as Probability density function, Group family, Observed information, Fisher information and Beta distribution.

Gauss M. Cordeiro has researched Weibull distribution in several fields, including Moment-generating function and Extreme value theory. His biological study spans a wide range of topics, including Quantile function and Normal-gamma distribution. In his study, Generalized gamma distribution and Inverse distribution is strongly linked to Generalized integer gamma distribution, which falls under the umbrella field of Generalized beta distribution.

His most cited work include:

  • A new family of generalized distributions (415 citations)
  • Bias Correction in Generalized Linear Models (242 citations)
  • The Kumaraswamy Weibull distribution with application to failure data (205 citations)

What are the main themes of his work throughout his whole career to date?

Gauss M. Cordeiro spends much of his time researching Applied mathematics, Statistics, Regression analysis, Weibull distribution and Order statistic. The concepts of his Applied mathematics study are interwoven with issues in Probability density function, Distribution, Quantile, Maximum likelihood and Quantile function. Statistics is represented through his Generalized linear model, Exponential family, Sample size determination, Likelihood-ratio test and Generalized beta distribution research.

As part of one scientific family, he deals mainly with the area of Regression analysis, narrowing it down to issues related to the Linear regression, and often Nonlinear regression and Linear model. The Weibull distribution study combines topics in areas such as Function, Failure rate, Log-logistic distribution and Exponential function. His Order statistic research integrates issues from Distribution, Moment, Rényi entropy and Generating function.

He most often published in these fields:

  • Applied mathematics (56.82%)
  • Statistics (54.75%)
  • Regression analysis (20.66%)

What were the highlights of his more recent work (between 2019-2021)?

  • Statistics (54.75%)
  • Applied mathematics (56.82%)
  • Regression analysis (20.66%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Statistics, Applied mathematics, Regression analysis, Distribution and Weibull distribution. In his works, Gauss M. Cordeiro conducts interdisciplinary research on Statistics and Estimation. His Applied mathematics study integrates concerns from other disciplines, such as Estimator, Exponential function and Gamma distribution.

His research investigates the connection between Gamma distribution and topics such as Generalized beta distribution that intersect with issues in Mathematical optimization. His study in Regression analysis is interdisciplinary in nature, drawing from both Skew, Econometrics, Simplex, Beta and Monte Carlo method. His studies in Order statistic integrate themes in fields like Observed information and Probability density function.

Between 2019 and 2021, his most popular works were:

  • The Weibull-G Family of Probability Distributions (196 citations)
  • The Kumaraswamy Generalized Half-Normal Distribution for Skewed Positive Data (42 citations)
  • The Kumaraswamy Transmuted-G Family of Distributions: Properties and Applications (40 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Normal distribution
  • Probability distribution

Gauss M. Cordeiro mainly investigates Applied mathematics, Statistics, Order statistic, Gamma distribution and Weibull distribution. Gauss M. Cordeiro has included themes like Generalized integer gamma distribution, Exponential distribution, Mathematical optimization, Method of moments and Unit interval in his Applied mathematics study. His research in Statistics intersects with topics in Exponential function and Distribution.

The various areas that Gauss M. Cordeiro examines in his Order statistic study include Probability density function, Generating function, Maximum likelihood, Observed information and Quantile. His Gamma distribution research includes elements of Exponential family, Exponentiated Weibull distribution and Generalized beta distribution. His work carried out in the field of Weibull distribution brings together such families of science as Function and Bounded function.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A new family of generalized distributions

Gauss M. Cordeiro;Mário de Castro.
Journal of Statistical Computation and Simulation (2011)

918 Citations

A new family of generalized distributions

Gauss M. Cordeiro;Mário de Castro.
Journal of Statistical Computation and Simulation (2011)

918 Citations

The Weibull-G Family of Probability Distributions

Marcelo Bourguignon;Rodrigo B. Silva;Gauss M. Cordeiro.
Journal of data science (2021)

511 Citations

The Weibull-G Family of Probability Distributions

Marcelo Bourguignon;Rodrigo B. Silva;Gauss M. Cordeiro.
Journal of data science (2021)

511 Citations

The Kumaraswamy Weibull distribution with application to failure data

Gauss M. Cordeiro;Edwin M.M. Ortega;Saralees Nadarajah.
Journal of The Franklin Institute-engineering and Applied Mathematics (2010)

420 Citations

The Kumaraswamy Weibull distribution with application to failure data

Gauss M. Cordeiro;Edwin M.M. Ortega;Saralees Nadarajah.
Journal of The Franklin Institute-engineering and Applied Mathematics (2010)

420 Citations

Bias Correction in Generalized Linear Models

Gauss M. Cordeiro;Peter McCullagh.
Journal of the royal statistical society series b-methodological (1991)

394 Citations

Bias Correction in Generalized Linear Models

Gauss M. Cordeiro;Peter McCullagh.
Journal of the royal statistical society series b-methodological (1991)

394 Citations

The Exponentiated Generalized Class of Distributions

Gauss M. Cordeiro;Edwin M. M. Ortega;Daniel C. C. da Cunha.
Journal of data science (2021)

393 Citations

The Exponentiated Generalized Class of Distributions

Gauss M. Cordeiro;Edwin M. M. Ortega;Daniel C. C. da Cunha.
Journal of data science (2021)

393 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Gauss M. Cordeiro

Francisco Louzada

Francisco Louzada

Universidade de São Paulo

Publications: 51

Saralees Nadarajah

Saralees Nadarajah

University of Manchester

Publications: 45

Narayanaswamy Balakrishnan

Narayanaswamy Balakrishnan

McMaster University

Publications: 26

Edwin M. M. Ortega

Edwin M. M. Ortega

Universidade de São Paulo

Publications: 14

Heleno Bolfarine

Heleno Bolfarine

Universidade de São Paulo

Publications: 13

Debasis Kundu

Debasis Kundu

Indian Institute of Technology Kanpur

Publications: 7

Víctor Leiva

Víctor Leiva

Pontificial Catholic University of Valparaiso

Publications: 7

Dipak K. Dey

Dipak K. Dey

University of Connecticut

Publications: 6

Sander Greenland

Sander Greenland

University of California, Los Angeles

Publications: 5

Trending Scientists

Carlos H. Mastrangelo

Carlos H. Mastrangelo

University of Utah

Dmitri I. Svergun

Dmitri I. Svergun

European Bioinformatics Institute

Haixia Zhang

Haixia Zhang

Peking University

Qingling Feng

Qingling Feng

Tsinghua University

Milo S. P. Shaffer

Milo S. P. Shaffer

Imperial College London

Daniel J. Rigden

Daniel J. Rigden

University of Liverpool

Martin H. Entz

Martin H. Entz

University of Manitoba

Pere Puig

Pere Puig

Spanish National Research Council

Yousif K. Kharaka

Yousif K. Kharaka

United States Geological Survey

Peter Steen Mikkelsen

Peter Steen Mikkelsen

Technical University of Denmark

Romeo Chua

Romeo Chua

University of British Columbia

Grant McFadden

Grant McFadden

Arizona State University

Marc A. Zimmerman

Marc A. Zimmerman

University of Michigan–Ann Arbor

Paul J. Silvia

Paul J. Silvia

University of North Carolina at Greensboro

Kim T. Mueser

Kim T. Mueser

Boston University

E. Nappi

E. Nappi

National Institute for Nuclear Physics

Something went wrong. Please try again later.