| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 198 | 52 | 78 | 12 |
| Economics and Finance | 245 | 24 | 28 | 9 |
The topics of Econometrics, Statistics, Demography, Bayesian probability and Survey sampling are the focal point of discussions in the journal. Journal of The Royal Statistical Society Series A-statistics in Society facilitates discussions on Econometrics that incorporate concepts from other fields like Estimator, Inference and Missing data. Studies on Statistics discussed in it link to the field of Random effects model.
The journal papers primarily focus on research topics in Econometrics, Statistics, Survey sampling, Demography and Operations research. The works on Econometrics tackled in the published articles bring together disciplines like Inference, Bayesian probability, Selection bias, Statistical model and Regression analysis. Most of the works presented in the journal papers deal with Statistics but they intersect with the subject of Random effects model.
Journal of The Royal Statistical Society Series A-statistics in Society tackles a plethora of topics, such as Scientific communication, Econometrics, Statistics, Epistemology and Data science. Panel data is a focus of the presented Econometrics works and it dives deep in Panel data. Discussions in it are anchored in the subject of Statistics and the similar topic of Randomized controlled trial.
Journal of The Royal Statistical Society Series A-statistics in Society focuses on Estimator but also tackles concerns of closely connected disciplines like
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 Royal Statistical Society Series A-statistics in Society (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 Royal Statistical Society Series A-statistics in Society (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, 19.51% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 17.17% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.08% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.17% of all publications and 57.58% 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.
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Glenn Shafer
(2021)L Ait Bihi Ouali;D Graham;M Trompet;A Barron
(2020)Leonhard Held
(2020)T. Tony Cai;Zijian Guo
(2020)Bernard W. Silverman
(2020)Gary Koop;Stuart McIntyre;James Mitchell
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