1932-6157
Published by: Institute of Mathematical Statistics
https://imstat.org/journals-and-publications/annals-of-applied-statistics/
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 151 | 67 | 108 | 14 |
The aim of The Annals of Applied Statistics is to expand the discussion of research in Statistics, Econometrics, Artificial intelligence, Bayesian probability and Inference. The Annals of Applied Statistics concentrates on Statistics topics that focus on Covariate, Estimator, Regression analysis, Statistical hypothesis testing and Missing data. The journal focused on Econometrics research but expanded to cover Random effects model.
Artificial intelligence research featured in it incorporates concerns from various other topics such as Machine learning and Pattern recognition. While Bayesian probability is the focus of it, it also provided insights into the studies of Computational biology and Data mining.
The main points discussed in the published articles deal with Statistics, Econometrics, Artificial intelligence, Algorithm and Regression analysis. Specifically, studies on Covariate are prevalent in the Econometrics works discussed in the published articles. The journal articles explore issues in Artificial intelligence which can be linked to other research areas like Machine learning and Pattern recognition.
The aim of The Annals of Applied Statistics is to expand the discussion of research in Inference, Artificial intelligence, Statistics, Bayesian probability and Covariate. The Annals of Applied Statistics explores research in Inference alongside concepts in Bayesian inference and other areas of study in Model selection. The studies in Artificial intelligence featured incorporate elements of Machine learning and Pattern recognition.
The Statistics study featured in The Annals of Applied Statistics draws connections with the study of Hierarchical database model. In addition to Bayesian probability research, The Annals of Applied Statistics aims to explore topics under Mixture model, Stochastic process and Set (psychology). Topics in Covariate explored in the journal were investigated in conjunction with research in Data mining, Linear regression, Statistical inference, Estimator and Regression analysis.
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 The Annals of Applied 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 The Annals of Applied 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, 6.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 41.89% were posted by at least one author from the top 10 institutions publishing in the journal. Another 18.92% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.22% of all publications and 22.97% 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.
Yoav Benjamini;Richard D. De Veaux;Bradley Efron;Scott Evans
(2021)Niklas Pfister;Evan G. Williams;Jonas Peters;Ruedi Aebersold
(2021)Lin Wang;Jake Elmstedt;Weng Kee Wong;Hongquan Xu
(2021)Amir Nikooienejad;Wenyi Wang;Valen E. Johnson
(2020)Gemma E. Moran;Veronika Ročková;Edward I. George
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