0883-4237
Published by: Institute of Mathematical Statistics
https://imstat.org/journals-and-publications/statistical-science/
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 98 | 60 | 82 | 18 |
Statistical Science is mainly concerned with subjects like Statistics, Econometrics, Artificial intelligence, Inference and Bayesian probability. Specifically, studies on Estimator are prevalent in the Statistics works discussed. Regression analysis and Estimation are some topics wherein Econometrics research discussed in it have an impact.
The study on Artificial intelligence presented in it intersects with subjects under the field of Machine learning. The work on Bayesian probability presented in the journal focuses on Frequentist inference in particular.
The most cited publications focus on Econometrics, Statistics, Artificial intelligence, Inference and Bayesian probability. The most cited articles explore research in Econometrics alongside concepts in Observational study and other areas of study in Randomized experiment. The featured Bayesian probability studies in the journal articles mainly concentrate on Mathematical optimization but also cover areas of interest in Markov chain Monte Carlo.
The journal investigates studies in Inference, Algorithm, Statistical model, Estimator and Artificial intelligence. It encompasses Statistical model studies in the context of Statistics as a whole. The studies on Statistics discussed can also contribute to research in the domains of Compromise and Focus (linguistics).
While Estimator is the focus of the journal, it also provided insights into the studies of Additive model, Econometrics, Score and Missing data. Topics in Econometrics were tackled in line with various other fields like Outcome (probability), Causal model and Confounding. The featured Artificial intelligence research zeroes in on concepts in Bayesian probability, Artificial neural network and Generative grammar but also tackles themes under Focus (optics).
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 Statistical Science (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 Statistical Science (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, 27.27% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.25% were posted by at least one author from the top 10 institutions publishing in the journal. Another 21.88% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.50% of all publications and 34.38% 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.
Unknown
(2020)Jianqing Fan;Cong Ma;Yiqiao Zhong
(2021)Peter Bühlmann
(2020)Dimitris Bertsimas;Jean Pauphilet;Bart Van Parys
(2020)Trevor Hastie;Robert Tibshirani;Ryan J. Tibshirani
(2020)Peter D. Hoff
(2021)Jianqing Fan;Kaizheng Wang;Yiqiao Zhong;Ziwei Zhu
(2021)David J. Nott;Xueou Wang;Michael Evans;Berthold-Georg Englert
(2020)For students interested in Mathematics, exploring related online degrees can open diverse career opportunities. Many universities now offer flexible programs such as mathematics degree online that blend theory with practical skills suitable for industries like finance, technology, and data science.
Beyond pure math, those looking to combine analytical skills with business acumen might consider pursuing an MBA. Options like the easiest mba to get into or accelerated mba programs online offer pathways for professionals seeking advancement without long commitments.
Additionally, unique interdisciplinary degrees, such as those found in sports degrees online, demonstrate how mathematical skills can apply to fields like sports analytics, management, and performance optimization, broadening the spectrum of career possibilities.
Choosing the right program involves balancing factors like duration, accessibility, and career goals. Online degree options provide flexibility and can help students advance in dynamic job markets by developing relevant quantitative and managerial expertise.
