| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 359 | 21 | 35 | 8 |
Annals of the Institute of Statistical Mathematics aims to foster the development of research in Statistics, Applied mathematics, Estimator, Combinatorics and Mathematical optimization. Statistics and Econometrics are closely related fields of research discussed in Annals of the Institute of Statistical Mathematics. The study on Applied mathematics presented in it intersects with the topics under Calculus.
Topics in Estimator explored in it were investigated in conjunction with research in Mean squared error and Estimation theory. While work presented in Annals of the Institute of Statistical Mathematics provided substantial information on Combinatorics, it also covered topics in Discrete mathematics, Probability distribution, Distribution (mathematics) and Random variable. The journal explores the study of Efficient estimator to improve our understanding of the broader topic of Minimum-variance unbiased estimator.
Bias of an estimator is the primary subject of Minimum-variance unbiased estimator works presented in it.
The journal articles mainly deal with areas of study such as Statistics, Applied mathematics, Estimator, Combinatorics and Mathematical optimization. Most of the works presented in the journal publications deal with Statistics but they intersect with the subject of Econometrics. While work presented in the most cited articles provide substantial information on Mathematical optimization, it also covers topics in Smoothing and Algorithm.
The objective of the journal is to combine knowledge in the areas of Estimator, Applied mathematics, Algorithm, Statistics and Feature selection. The study of Estimator encompasses disciplines such as Covariate, as well as fields such as Sample (statistics), all of which overlap with one another. It explores issues in Applied mathematics which can be linked to other research areas like Context (language use), Nonparametric statistics, Statistical hypothesis testing, Linear regression and Regression.
The presented Algorithm research focuses mostly on Sample size determination and, on occasion, topics in Curse of dimensionality. The study on Statistics presented in it intersects with subjects under the field of Inference. Issues in Feature selection were discussed, taking into consideration concepts from other disciplines like Mathematical optimization, Coordinate descent, Linear model and Autoregressive 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 Annals of the Institute of Statistical Mathematics (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 Annals of the Institute of Statistical Mathematics (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, 9.59% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.15% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.61% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.73% of all publications and 51.52% 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.
Holger Dette;Kevin Kokot
(2021)Axel Bücher;Holger Dette;Florian Heinrichs
(2020)Hansjörg Albrecher;Martin Bladt;Mogens Bladt
(2021)Jonas R. Brehmer;Tilmann Gneiting;Tilmann Gneiting
(2020)Mike West
(2020)Haruhiko Inatsugu;Nakahiro Yoshida
(2021)Laurent Delsol;Ingrid Van Keilegom
(2020)Pratik Misra;Seth Sullivant
(2021)Ji Chen;Jun Shao;Jun Shao;Fang Fang
(2021)Baichuan Yuan;Frederic P. Schoenberg;Andrea L. Bertozzi
(2021)For students interested in Mathematics, exploring related online degrees can open diverse career pathways. Those aiming for leadership roles might consider online emba programs, which combine advanced business knowledge with flexible learning formats, ideal for working professionals.
If you prefer starting with foundational business skills, an business office administration degree provides practical expertise for managing operations and improving organizational efficiency.
For a more comprehensive business education, a bachelor of business administration online offers broad exposure to management principles, which pairs well with strong analytical skills from Mathematics.
Additionally, many students seek graduate-level advancement through an mba no gre program. These programs remove standardized test barriers, making advanced business education more accessible and accommodating diverse applicant backgrounds.
Combining mathematical skills with business acumen can lead to promising careers in finance, analytics, management, and technology sectors, enhancing both job prospects and earning potential.
