Gauss M. Cordeiro

17.8k citations
494 papers · 12.6k indexed · 2 hit papers · h-index 61
Topics
Statistical Distribution Estimation and Applications (393 papers)Probabilistic and Robust Engineering Design (209 papers)Statistical Methods and Bayesian Inference (173 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEBiometrika
Partner nations
BrazilEgyptUnited States

In The Last Decade

Gauss M. Cordeiro

473 papers receiving 11.7k citations

Hit Papers

A new family of generalized distributions201020262015202020102021250500750

Peers

Gauss M. Cordeiro
Comparison fields: 5 of 143
  • Statistics and Probability 11.7k
  • Statistics, Probability and Uncertainty 6.6k
  • Global and Planetary Change 2.7k
  • Finance 1.7k
  • Safety, Risk, Reliability and Quality 1.6k
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Citations per field
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Citations per year

Countries citing papers authored by Gauss M. Cordeiro

Since Specialization
Citations

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

Fields of papers citing papers by Gauss M. Cordeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gauss M. Cordeiro. 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 Gauss M. Cordeiro. The network helps show where Gauss M. Cordeiro may publish in the future.

Co-authorship network of co-authors of Gauss M. Cordeiro

This figure shows the co-authorship network connecting the top 25 collaborators of Gauss M. Cordeiro. A scholar is included among the top collaborators of Gauss M. Cordeiro 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 Gauss M. Cordeiro. Gauss M. Cordeiro 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
#WorkIndexed citations
1 2
2 1
3 0
4 3
5 2
6 14
7 1
8 29
9 4
10 14
11 23
12
The Marshall-Olkin additive Weibull distribution with variable shapes for the hazard rate
8
13
The complementary geometric transmuted-$G$ family of distributions: model, properties and application
4
14 40
15 9
16
The new class of Kummer beta generalized distributions
44
17 13
18 188
19 7
20 8

About Gauss M. Cordeiro

Gauss M. Cordeiro is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 494 papers that have together received 12.6k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (393 papers), Probabilistic and Robust Engineering Design (209 papers) and Statistical Methods and Bayesian Inference (173 papers). The work is most often cited by research in Statistics and Probability (11.7k citations), Statistics, Probability and Uncertainty (6.6k citations) and Safety, Risk, Reliability and Quality (1.6k citations). Gauss M. Cordeiro has collaborated with scholars based in Brazil, Egypt and United States. Frequent co-authors include Edwin M. M. Ortega, Artur J. Lemonte, Mário de Castro, Morad Alizadeh, Saralees Nadarajah, Rodrigo B. Silva, Marcelo Bourguignon, M. H. Tahir, Ahmed Z. Afify and Giovana O. Silva. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biometrika.

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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