| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 168 | 79 | 152 | 13 |
The journal primarily focuses on research topics in Statistics, Applied mathematics, Estimator, Econometrics and Mathematical optimization. Statistics, which encompasses Covariate, Nonparametric statistics, Regression analysis, Asymptotic distribution and Regression, is the main subject of it. While Applied mathematics is the focus of it, it also provided insights into the studies of Linear model and Model selection.
Topics in Estimator explored in Statistica Sinica were investigated in conjunction with research in Algorithm, Linear regression and Missing data. Econometrics research discussed connects with the study of Inference.
The journal papers mostly deal with topics like Statistics, Estimator, Applied mathematics, Mathematical optimization and Econometrics. The published articles hold forums on Estimator that merge themes from other disciplines such as Algorithm, Lasso (statistics) and Inference. While Mathematical optimization is the key highlight in the most cited papers, thet also covered some subjects on Feature selection and Data mining and Support vector machine.
The journal investigates areas of study like Statistics, Applied mathematics, Algorithm, Estimator and High dimensional. It features Statistics research that overlaps with concepts in Extension (predicate logic). Linear regression, Regularization (mathematics), Covariance, Asymptotic distribution and Sufficient dimension reduction are some topics wherein Applied mathematics research discussed in it have an impact.
The research on Algorithm tackled can also make contributions to studies in the areas of Gaussian process and Dimensionality reduction. It addresses concerns in Estimator which are intertwined with other disciplines, such as Marginal likelihood, Control theory, Mathematical optimization and Consistency (statistics). While Statistica Sinica focused on Mathematical optimization, it was also able to explore topics like Confidence bounds, Value (mathematics), Regret and Prior probability.
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 Statistica Sinica (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 Statistica Sinica (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 2022 edition, 98.57% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 100.00% 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.
Xu Gao;Weining Shen;Babak Shahbaba;Norbert J. Fortin
(2020)Zack Stokes;Hongquan Xu
(2022)Jing Zhou;Dong Li;Rui Pan;Hansheng Wang
(2020)Lan Liu;Wang Miao;Baoluo Sun;James Robins
(2020)Yuefeng Han;Ruey S. Tsay
(2020)Maxim Rabinovich;Aaditya Ramdas;Michael I. Jordan;Martin J. Wainwright
(2020)Eleonora Arnone;Alois Kneip;Fabio Nobile;Laura M. Sangalli
(2022)Bingyi Jing;Ting Li;Ningchen Ying;Xianshi Yu
(2021)David Morales-Jimenez;Iain M. Johnstone;Matthew R. McKay;Jeha Yang
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