| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 241 | 35 | 46 | 11 |
The foci of the journal are Statistics, Econometrics, Humanities, Applied mathematics and Operations research. Estimator, Regression analysis, Regression, Sampling (statistics) and Sample (statistics) are some of the study areas of Statistics discussed.
The most cited publications facilitate discussions on Statistics, Econometrics, Humanities, Regression analysis and Nonparametric statistics. The journal publications explore issues in Econometrics which can be linked to other research areas like Weighting, Sampling (statistics), Estimation and Extreme value theory. The most cited papers focus on Humanities but the discussions also offer insight into other areas such as Maximum likelihood and Calculus.
The concepts of Statistics, Estimator, Bayesian probability, Library science and Statistical physics are tackled in International Statistical Review. The journal features Statistics research that overlaps with concepts in Inference. The research on Estimator featured in International Statistical Review combines topics in other fields like Calibration (statistics) and Missing data.
The journal deals with Bayesian probability in conjunction with Context (language use) and similar fields in Dirichlet process, Nonparametric statistics, Bayesian information criterion, Econometrics and Model selection. While work presented in the journal provided substantial information on Library science, it also covered topics in Publishing, Tribute, Official statistics and Mahalanobis distance. The journal explores topics in Statistical physics which can be helpful for research in disciplines like Monte Carlo method, Importance sampling and Statistical model.
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 International Statistical Review (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 International Statistical Review (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, 7.84% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.51% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.15% of all publications and 65.96% 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.
Bradley Efron
(2020)Laura Freijeiro-González;Manuel Febrero-Bande;Wenceslao González-Manteiga
(2021)Fabian Krüger;Sebastian Lerch;Sebastian Lerch;Thordis Thorarinsdottir;Tilmann Gneiting;Tilmann Gneiting
(2021)Brian J Reich;Shu Yang;Yawen Guan;Andrew B Giffin
(2021)Gerhard Tutz
(2021)Mevin Hooten;Christopher Wikle;Michael Schwob
(2020)Tomasz Górecki;Lajos Horváth;Piotr Kokoszka
(2020)Raaz Dwivedi;Yan Shuo Tan;Briton Park;Mian Wei
(2020)Anindya Bhadra;Jyotishka Datta;Yunfan Li;Nicholas Polson
(2020)Jonathan Wakefield;Taylor Okonek;Jon Pedersen
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