1935-7524
Published by: Institute of Mathematical Statistics
https://imstat.org/journals-and-publications/electronic-journal-of-statistics/
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 131 | 75 | 107 | 15 |
The discussions in the journal mainly cover the fields of Applied mathematics, Estimator, Statistics, Algorithm and Mathematical optimization. In the journal, Nonparametric statistics, Prior probability, Linear model, Function (mathematics) and Rate of convergence are investigated in conjunction with one another to address concerns in Applied mathematics research. The featured Prior probability study falls within the wider topic of Bayesian probability.
It focuses on Estimator but the discussions also offer insight into other areas such as Model selection, Minimax, Consistency (statistics) and Combinatorics. Statistics study tackled is connected to the field of Econometrics. While work presented in the journal provided substantial information on Algorithm, it also covered topics in Inference and Artificial intelligence.
The journal publications cover a variety of subjects, including Applied mathematics, Estimator, Algorithm, Statistics and Mathematical optimization. The studies on Applied mathematics discussed at the published papers can also contribute to research in the domains of Prior probability, Bayesian probability, Bayesian inference, Linear regression and Lasso (statistics). The journal papers hold forums on Estimator that merge themes from other disciplines such as Nonparametric statistics, Minimax and Rate of convergence.
Electronic Journal of Statistics facilitates discussions on Applied mathematics, Estimator, Algorithm, Rate of convergence and Consistency (statistics). In addition to Applied mathematics research, the journal aims to explore topics under Convergence (routing), Covariance, Minimax, Asymptotic distribution and Function (mathematics). Research in the field of Statistics was used to conduct the presented Estimator study.
The studies on Algorithm discussed can also contribute to research in the domains of Inference, Bayes factor, Model selection, Multivariate statistics and Series (mathematics). The Model selection works featured in Electronic Journal of Statistics incorporate elements from Adaptive estimator, Linear regression and Curse of dimensionality. The presented Rate of convergence research focuses mostly on Bounded function and, on occasion, topics in Upper and lower bounds.
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 Electronic Journal of 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 Electronic Journal of 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, 11.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.91% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.91% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 27.27% of all publications and 50.91% 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.
Juho Piironen;Markus Paasiniemi;Aki Vehtari
(2020)Daren Wang;Yi Yu;Alessandro Rinaldo
(2020)Marc Hallin;Gilles Mordant;Johan Segers
(2021)Lawrence Middleton;George Deligiannidis;Arnaud Doucet;Pierre E. Jacob
(2020)Art B. Owen;Hal Varian
(2020)Richard A. Davis;Mikkel S. Nielsen
(2020)François Bachoc;Alexandra Suvorikova;David Ginsbourger;Jean-Michel Loubes
(2020)Luc Devroye;Abbas Mehrabian;Tommy Reddad
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