Statistical Methods and Applications

Top Research Topics at Statistical Methods and Applications?

The topics of Statistics, Econometrics, Estimator, Applied mathematics and Mathematical optimization are the focal point of discussions in Statistical Methods and Applications. Covariate, Nonparametric statistics, Bayesian probability, Sample (statistics) and Multivariate statistics are all topics related to Statistics research discussed. While Econometrics is the focus of it, it also provided insights into the studies of Regression analysis, Monte Carlo method and Series (mathematics).

Estimator research is the primary subject tackled in Statistical Methods and Applications with a focus on Asymptotic distribution.

• Statistics (31.99%)
• Econometrics (27.84%)
• Estimator (14.96%)

What are the most cited papers published in the journal?

• Influence functions of the Spearman and Kendall correlation measures (288 citations)
• Wavelets in statistics: A review (183 citations)
• Multivariate functional outlier detection (116 citations)

Research areas of the most cited articles at Statistical Methods and Applications:

The journal papers mostly deal with topics like Statistics, Econometrics, Estimator, Applied mathematics and Multivariate statistics. Ordinal data is a major topic of Econometrics research in the published articles. The most cited articles focus on Estimator but the discussions also offer insight into other areas such as Mean squared error and Algorithm.

What topics the last edition of the journal is best known for?

• Statistics
• Normal distribution
• Machine learning

The previous edition focused in particular on these issues:

Statistical Methods and Applications investigates studies in Econometrics, Statistics, Bayesian probability, Applied mathematics and Estimator. The studies on Econometrics discussed can also contribute to research in the domains of Regression analysis, Parametric statistics and Bayesian inference. The in-depth study on Statistics also explores topics in the intersecting field of Hierarchical database model.

Statistical Methods and Applications focuses on Applied mathematics but sometimes tackles the closely related topic of Linear regression which is concerned with Mixture model. While the primary focus in Statistical Methods and Applications is Estimator, it also dissects topics surrounding Outlier and Data mining as a whole. It focuses on Covariate but the discussions also offer insight into other areas such as Count data and Conditional independence.

The most cited articles from the last journal are:

• Small area estimation under a measurement error bivariate Fay–Herriot model (7 citations)
• Estimating drift parameters in a non-ergodic Gaussian Vasicek-type model (6 citations)
• Weighted likelihood latent class linear regression (5 citations)

Papers citation over time

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.

Top authors and change over time

The top authors publishing in Statistical Methods and Applications (based on the number of publications) are:

• Adriana dos Santos Prado Sadoyama (12 papers) absent at the last edition,
• Geraldo Sadoyama (11 papers) absent at the last edition,
• André Vasconcelos da Silva (9 papers) absent at the last edition,
• Paulo Alexandre de Castro (7 papers) absent at the last edition,
• Leonardo S. Andrade (7 papers) absent at the last edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Statistical Methods and Applications (based on the number of publications) are:

• University of Padua (51 papers) published 6 papers at the last edition,
• Sapienza University of Rome (48 papers) published 8 papers at the last edition, 7 more than at the previous edition,
• University of Bologna (27 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• University of Milan (27 papers) published 2 papers at the last edition, 1 less than at the previous edition,
• University of Florence (25 papers) published 1 paper at the last edition, 2 less than at the previous edition.

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.

Publication chance based on affiliation

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, 7.32% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.58% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.21% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.05% of all publications and 38.16% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.