| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 7 | 133 | 299 | 39 |
The primary areas of discussion in the journal are Statistics, Econometrics, Applied mathematics, Estimator and Mathematical optimization. Journal of the American Statistical Association primarily discusses Statistics topics, particularly Regression analysis, Nonparametric statistics, Sample size determination, Linear regression and Covariate.
The published articles mainly tackle studies in Statistics, Econometrics, Applied mathematics, Estimator and Regression analysis. Statistics study tackled in the most cited papers is connected to the field of Algorithm. The most cited papers explore issues in Applied mathematics which can be linked to other research areas like Linear model, Mathematical optimization and Monte Carlo method.
The topics of Statistics, Artificial intelligence, Inference, Algorithm and Applied mathematics are the focal point of discussions in the journal. Covariate, Estimator and Multivariate statistics studies are all carried out as a component of the study in Statistics presented. In it, Machine learning, Estimation and Pattern recognition are investigated in conjunction with one another to address concerns in Artificial intelligence research.
The work on Inference addressed in it expands to the thematically related Econometrics. The studies tackled, which mainly focus on Applied mathematics, apply to High dimensional as well.
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 Journal of the American Statistical Association (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 Journal of the American Statistical Association (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, 0.64% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 37.74% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.16% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.29% of all publications and 25.81% 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.
Matteo Fasiolo;Simon N. Wood;Margaux Zaffran;Raphaël Nedellec
(2021)Qiang Sun;Wen Xin Zhou;Jianqing Fan
(2020)Sourav Chatterjee
(2020)Jack Kamm;Jonathan Terhorst;Richard Durbin;Yun S. Song
(2020)Souhaib Ben Taieb;James W. Taylor;Rob J. Hyndman
(2021)Bradley Efron
(2020)Jianqing Fan;Yongyi Guo;Kaizheng Wang
(2021)Christopher Nemeth;Paul Fearnhead
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