0103-0752
Published by: Institute of Mathematical Statistics
https://imstat.org/journals-and-publications/brazilian-journal-of-probability-and-statistics/
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 486 | 21 | 37 | 5 |
Brazilian Journal of Probability and Statistics primarily focuses on research topics in Statistics, Applied mathematics, Estimator, Econometrics and Bayesian probability. Studies in Statistics and Estimation are the key highlights in the journal. The research on Applied mathematics tackled can also make contributions to studies in the areas of Random variable, Distribution (mathematics), Multivariate statistics, Mathematical optimization and Distribution (number theory).
Research on Random variable addressed in Brazilian Journal of Probability and Statistics frequently intersections with the field of Combinatorics. The work tackled in it goes beyond the discipline of Combinatorics as it also encompasses Discrete mathematics. The journal explores issues in Estimator which can be linked to other research areas like Mean squared error and Estimation theory.
The journal is mostly focused on Bayesian probability, specifically Posterior probability. The research on Bayesian inference featured in the journal combines topics in other fields like Algorithm and Markov chain Monte Carlo.
The most cited papers cover a variety of subjects, including Statistics, Applied mathematics, Pure mathematics, Quantile and Order statistic. The journal papers tackle research work in Statistics as well as Random effects model. Issues in Applied mathematics were discussed in the published articles, taking into consideration concepts from other disciplines like Distribution (number theory), Distribution fitting, Gamma distribution, Moment-generating function and Log-Cauchy distribution.
Brazilian Journal of Probability and Statistics was organized to reinforce research efforts on Applied mathematics, Bayesian probability, Statistics, Estimator and Distribution (mathematics). The journal explores issues in Applied mathematics which can be linked to other research areas like Sample size determination, Wald test, Large deviations theory, Expectation–maximization algorithm and Statistical dispersion. Markov chain Monte Carlo studies in the realm of Bayesian probability interact with fields like Climatology.
Attendees of the journal participated in discussions that delve into both Statistics and Observational error. Topics in Estimator were tackled in line with various other fields like Monte Carlo method, National Health and Nutrition Examination Survey, Sampling design and Frequentist inference. The journal focuses on Distribution (mathematics) but sometimes tackles the closely related topic of Hazard (logic) which is concerned with Geometric distribution, Power series, Piecewise exponential and Parametric statistics.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Brazilian Journal of Probability and Statistics (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Brazilian Journal of Probability and Statistics (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 39.39% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 20.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 30.00% of all publications and 20.00% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Israel Martínez-Hernández;Marc G. Genton
(2020)Víctor H. Lachos;Aldo M. Garay;Celso R. B. Cabral
(2020)Helton Saulo;Jeremias Leão;Juvêncio Nobre;Narayanaswamy Balakrishnan
(2021)Gauss M. Cordeiro;Rodrigo Labouriau;Denise A. Botter
(2021)Flávio B. Gonçalves;Marcos O. Prates;Victor Hugo Lachos
(2020)Fábio P. Lima;Francisco Cribari-Neto
(2020)Abedin Haidari;Amir T. Payandeh Najafabadi;Narayanaswamy Balakrishnan
(2020)Helton Saulo;Jeremias Leão;Víctor Leiva;Roberto Vila
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