| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 296 | 38 | 70 | 9 |
The discussions in Test mainly cover the fields of Statistics, Estimator, Applied mathematics, Econometrics and Internal medicine. As a part of the journal, discussions in Statistics involve topics like Asymptotic distribution, Nonparametric statistics, Mean squared error, Multivariate statistics and Bayesian probability. The work on Applied mathematics addressed in Test expands to the thematically related Mathematical optimization.
The in-depth study on Econometrics also explores topics in the intersecting field of Series (mathematics). Research on Internal medicine addressed in Test frequently intersections with the field of Gastroenterology.
The most cited papers explore disciplines such as Statistics, Econometrics, Applied mathematics, Estimator and Data mining. While work presented in the most cited articles provide substantial information on Econometrics, it also covers topics in Spatial analysis, Linear model, Regression, Multivariate statistics and Bayesian probability. The journal papers explore topics in Applied mathematics which can be helpful for research in disciplines like Statistical hypothesis testing, Fisher information, Mathematical optimization and Bayesian inference.
The foci of Test are Estimator, Applied mathematics, Statistics, Nonparametric statistics and Internal medicine. Some problems in Estimator that were presented in Test overlapped with concepts under Linear regression, Distribution (mathematics), Regression, Algorithm and Sample (statistics). While the journal focused on Applied mathematics, it was also able to explore topics like Smoothness (probability theory), Covariance, Monte Carlo method and Asymptotic theory (statistics).
The presented Monte Carlo method research focuses mostly on Statistical hypothesis testing and, on occasion, topics in Inference. The study on Statistics featured in the journal expounds on the topic of Multivariate statistics in particular. The subject of Parametric statistics, which is connected to the field of Statistical inference, serves as the foundation of the Nonparametric statistics research featured in Test.
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 Test (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 Test (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, 42.97% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.03% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.59% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.07% of all publications and 49.32% 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.
Simon N. Wood
(2020)Jan Pablo Burgard;María Dolores Esteban;Domingo Morales;Agustín Pérez
(2020)Mohammad Ghorbani;Ottmar Cronie;Ottmar Cronie;Jorge Mateu;Jun Yu
(2021)Silvia Novo;Germán Aneiros;Philippe Vieu
(2021)Philip A. White;Alan E. Gelfand
(2021)Ritwik Bhattacharya;Ritwik Bhattacharya;Baidya Nath Saha;Graceila González Farías;Narayanaswamy Balakrishnan
(2020)Jorge Navarro;Julio Mulero
(2020)María P. Frías;Antoni Torres-Signes;María D. Ruiz-Medina;Jorge Mateu
(2021)Candida Geerdens;Paul L. Janssen;Ingrid Van Keilegom
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