| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 138 | 55 | 98 | 15 |
Journal of Multivariate Analysis explores disciplines such as Statistics, Applied mathematics, Estimator, Combinatorics and Multivariate statistics. Journal of Multivariate Analysis dives deep in exploring the relationship between the study of Statistics and Econometrics. While Applied mathematics is the focus of it, it also provided insights into the studies of Covariance, Linear model, Covariance matrix, Mathematical optimization and Calculus.
Estimation of covariance matrices and Covariance function are all aspects of Covariance research featured in Journal of Multivariate Analysis. Topics in Estimator were tackled in line with various other fields like Mean squared error and Linear regression. The work on Combinatorics tackled in the journal brings together disciplines like Discrete mathematics, Random variable, Multivariate random variable, Matrix (mathematics) and Distribution (mathematics).
Multivariate statistics research presented is mostly focused on the subject of Univariate.
The most cited articles primarily tackle Statistics, Applied mathematics, Estimator, Combinatorics and Mathematical analysis. Statistics research in the journal papers connects with the study of Econometrics. Linear model, Covariance matrix, Mathematical optimization, Autoregressive model and Calculus are some topics wherein Applied mathematics research discussed in the most cited publications has an impact.
The concepts of Applied mathematics, Multivariate statistics, Nonparametric statistics, Estimator and Distribution (mathematics) are tackled in the journal. While the journal focused on Applied mathematics, it was also able to explore topics like Linear combination, Mean squared error, Constant (mathematics), Space (mathematics) and Principal component analysis. Some problems in Multivariate statistics that were presented in it overlapped with concepts under Heavy-tailed distribution, Prior probability, Uncertainty quantification, Imputation (statistics) and Temporal database.
In addition to Estimator research, Journal of Multivariate Analysis aims to explore topics under Kernel (statistics), Consistency (statistics) and Dirichlet kernel. The Distribution (mathematics) works featured in it incorporate elements from Heteroscedasticity, Covariance, Test statistic, Norm (mathematics) and Null hypothesis. The study of Asymptotic distribution, which falls within the realm of Statistics, was the main focus of the presentations.
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 Multivariate Analysis (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 Multivariate Analysis (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, 12.50% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.29% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.57% of all publications and 42.86% 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.
Ian Jolliffe
(2021)Klaus Nordhausen;Hannu Oja;David E. Tyler
(2021)Germán Aneiros;Ivana Horová;Marie Hušková;Philippe Vieu
(2021)Eustasio del Barrio;Alberto González-Sanz;Marc Hallin
(2020)Holger Dette;Nina Dörnemann
(2020)Olivier Ledoit;Michael Wolf
(2021)Germán Aneiros;Silvia Novo;Philippe Vieu
(2021)Adelchi Azzalini
(2021)Giovanni Puccetti;Ludger Rüschendorf;Steven Vanduffel
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