Metrika

Top Research Topics at Metrika?

Metrika aims to foster the development of research in Statistics, Applied mathematics, Estimator, Combinatorics and Discrete mathematics. Studies on Statistics discussed in the journal link to the field of Econometrics. Metrika connects the study in Applied mathematics with the closely related area of Mathematical optimization.

The in-depth study on Mathematical optimization also explores topics in the intersecting field of Optimal design. Metrika focuses on Estimator as well as the interrelated topic of Estimation theory. The work on Combinatorics addressed in Metrika expands to the thematically related Random variable.

The works on Minimum-variance unbiased estimator deal in particular with Bias of an estimator.

• Statistics (35.53%)
• Applied mathematics (20.71%)
• Estimator (16.16%)

What are the most cited papers published in the journal?

• Graphical interaction models for multivariate time series 1 (294 citations)
• Estimation of P[Y < X] for generalized exponential distribution (179 citations)
• On the measurability and consistency of minimum contrast estimates (164 citations)

Research areas of the most cited articles at Metrika:

The published papers focus largely on the fields of Statistics, Applied mathematics, Estimator, Mathematical optimization and Econometrics. The study of Applied mathematics in the journal papers encompasses disciplines such as Weibull distribution, as well as fields such as Exponential function, all of which overlap with one another. The most cited articles with studies in Estimator featured incorporate elements of Variance (accounting), Estimation, Survey sampling and Regression.

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

• Statistics
• Normal distribution
• Mathematical analysis

The previous edition focused in particular on these issues:

Metrika investigates areas of study like Applied mathematics, Estimator, Asymptotic distribution, Statistics and Algorithm. While it focused on Applied mathematics, it was also able to explore topics like Equivalence (measure theory), Kernel (statistics), Quantile and Regression analysis, Nonparametric regression. In addition to Estimator research, Metrika aims to explore topics under Nonparametric statistics, Autocovariance, Estimation theory, Consistency (statistics) and Rate of convergence.

Asymptotic distribution research featured in the journal incorporates concerns from various other topics such as Smoothing, Identifiability and Estimating equations. The work on Statistics tackled in it brings together disciplines like Term (time) and Estimation. In it, Statistical inference and Inference are investigated in conjunction with one another to address concerns in Algorithm research.

The most cited articles from the last journal are:

• A new test of multivariate normality by a double estimation in a characterizing PDE (5 citations)
• On the properties of hermite series based distribution function estimators (4 citations)
• Analytic solutions for locally optimal designs for gamma models having linear predictors without intercept (3 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 Metrika (based on the number of publications) are:

• Narayanaswamy Balakrishnan (36 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Majid Asadi (14 papers) published 1 paper at the last edition the same number as at the previous edition,
• Nitis Mukhopadhyay (14 papers) absent at the last edition,
• Christos Koukouvinos (14 papers) published 1 paper at the last edition,
• B. M. Bennett (13 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 Metrika (based on the number of publications) are:

• Indian Statistical Institute (53 papers) published 1 paper at the last edition,
• McMaster University (38 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Nankai University (29 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• University of Münster (27 papers) absent at the last edition,
• University of Würzburg (27 papers) absent at the last 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, 4.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.72% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.56% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.67% of all publications and 68.06% 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.