| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 307 | 27 | 34 | 9 |
The main points discussed in the journal deals with Statistics, Econometrics, Statistician, Applied mathematics and Mathematics education. Confidence interval, Regression analysis, Estimator, Sample size determination and Statistical hypothesis testing are all topics related to Statistics research discussed.
The published articles are organized to reinforce research efforts on Statistics, Econometrics, Regression analysis, Linear regression and Applied mathematics. Statistical hypothesis testing, Confidence interval, Linear model, Regression and Regression diagnostic are some of the study areas of Statistics discussed in the published articles. The journal publications hold forums on Econometrics that merge themes from other disciplines such as Sample size determination, Inference, Proper linear model, Estimator and Bayesian probability.
The journal was organized to reinforce research efforts on Statistics, Bayesian probability, Statistical hypothesis testing, Econometrics and Bayes factor. The journal focuses on Statistics as well as the interrelated topic of Sign (mathematics). It explores research in Bayesian probability and the adjacent study of Sample size determination.
The journal focuses on Posterior probability but the discussions also offer insight into other areas such as p-value and Null hypothesis. The research on Null hypothesis discussed in The American Statistician draws on the closely related field of Frequentist inference. The American Statistician facilitates the exploration of Estimator in relation to the field of Intuition.
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 American Statistician (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 American Statistician (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, 2.67% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.44% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.07% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.07% of all publications and 53.42% 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.
Peihua Qiu
(2020)Li Xu;Chris Gotwalt;Yili Hong;Caleb B. King
(2020)Haolun Shi;Guosheng Yin
(2021)Vahid Nassiri;Geert Molenberghs;Geert Verbeke;João Barbosa-Breda
(2020)Sander Greenland;Michael P. Fay;Erica H. Brittain;Joanna H. Shih
(2020)Erik van Zwet;Andrew Gelman
(2021)Srinjoy Das;Dimitris N. Politis
(2020)Richard Berk;Andreas Buja;Lawrence Brown;Edward George
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