| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 182 | 38 | 80 | 13 |
The journal tackles a plethora of topics, such as Statistics, Econometrics, Applied mathematics, Estimator and Bayesian probability. The Statistics research presented places emphasis on topics like Regression analysis, Sample size determination, Covariate, Multivariate statistics and Monte Carlo method. While work presented in Journal of Applied Statistics provided substantial information on Econometrics, it also covered topics in Estimation and Series (mathematics).
Discussions in Journal of Applied Statistics are anchored in the subject of Applied mathematics and the similar topic of Mathematical optimization. Journal of Applied Statistics features studies on Bayesian probability, including topics such as Markov chain Monte Carlo.
The journal articles cover a variety of subjects, including Statistics, Econometrics, Estimator, Data mining and Control chart. The published papers facilitate discussions on Statistics that incorporate concepts from other fields like EWMA chart and X-bar chart. The published papers explore issues in Econometrics which can be linked to other research areas like Estimation, Series (mathematics), Bayesian probability and Mark and recapture.
The journal is mainly concerned with subjects like Statistics, Econometrics, Applied mathematics, Maximum likelihood and Bayesian probability. The Statistics works featured in it incorporate elements from Estimation and Distribution (number theory). It tackles issues in Bayesian probability, particularly in the topics of Markov chain Monte Carlo and Bayesian inference.
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 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 Journal 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, 4.71% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.42% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.53% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.48% of all publications and 80.57% 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.
Sancharee Basak;Ayanendranath Basu;M. C. Jones
(2021)Matthias Templ;Matthias Templ;J. Gussenbauer;P. Filzmoser
(2020)Yuna Zhao;Dennis K.J. Lin;Min Qian Liu
(2021)Emrah Altun;Gauss M. Cordeiro;Miroslav M. Ristić
(2021)Shu Wu;Philippe Castagliola;Giovanni Celano
(2021)Muhammad Shujaat Nawaz;Muhammad Azam;Muhammad Aslam
(2021)Yonghui Liu;Chaoxuan Mao;Víctor Leiva;Shuangzhe Liu
(2021)Shuvashree Mondal;Debasis Kundu
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