BIOMETRIKA

Top Research Topics at Biometrika?

Biometrika is mainly concerned with subjects like Statistics, Applied mathematics, Econometrics, Estimator and Algorithm. It concentrates on Statistics topics that focus on Regression analysis, Covariate, Asymptotic distribution, Nonparametric statistics and Sample size determination. The journal addresses concerns in Applied mathematics which are intertwined with other disciplines, such as Mathematical optimization and Calculus.

Research on Estimator addressed in it frequently intersections with the field of Mean squared error.

• Statistics (52.59%)
• Applied mathematics (17.27%)
• Econometrics (17.05%)

What are the most cited papers published in the journal?

• The central role of the propensity score in observational studies for causal effects (20129 citations)
• Longitudinal data analysis using generalized linear models (14696 citations)
• An Analysis of Variance Test for Normality (Complete Samples) (12268 citations)

Research areas of the most cited articles at Biometrika:

The journal publications mostly deal with topics like Statistics, Econometrics, Applied mathematics, Estimator and Regression analysis. The published papers focus on Econometrics but the discussions also offer insight into other areas such as Logistic regression, Proportional hazards model and Missing data. The journal publications explore topics in Applied mathematics which can be helpful for research in disciplines like Covariance, Mathematical optimization, Monte Carlo method, Series (mathematics) and Calculus.

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:

The journal covers a variety of subjects, including Applied mathematics, Estimator, Statistics, Inference and Algorithm. While work presented in Biometrika provided substantial information on Applied mathematics, it also covered topics in Matrix (mathematics), High dimensional, Limit (mathematics), Statistical model and Property (philosophy). While the primary focus in the journal is Estimator, it also dissects topics surrounding Covariate and Quantile regression, Regression analysis and Regression as a whole.

Biometrika facilitates discussions on Statistics that incorporate concepts from other fields like Estimation and Rank (computer programming). Most of the Inference studies addressed also intersect with Econometrics. Biometrika holds forums on Algorithm that merges themes from other disciplines such as Graph (abstract data type), Prior probability, Graphical model, Linear discriminant analysis and Bayes' theorem.

The most cited articles from the last journal are:

• A general interactive framework for false discovery rate control under structural constraints (30 citations)
• Quasi-oracle estimation of heterogeneous treatment effects (19 citations)
• Estimating time-varying causal excursion effect in mobile health with binary outcomes (12 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 Biometrika (based on the number of publications) are:

• Karl Pearson (180 papers) absent at the last edition,
• David R. Cox (60 papers) absent at the last edition,
• Peter Hall (49 papers) absent at the last edition,
• Egon S. Pearson (46 papers) absent at the last edition,
• Maurice G. Kendall (37 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 Biometrika (based on the number of publications) are:

• Harvard University (174 papers) published 8 papers at the last edition, 5 more than at the previous edition,
• University of North Carolina at Chapel Hill (118 papers) published 3 papers at the last edition the same number as at the previous edition,
• University of Wisconsin-Madison (113 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• University College London (111 papers) published 1 paper at the last edition the same number as at the previous edition,
• Stanford University (101 papers) published 6 papers at the last edition, 3 more 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, 3.06% 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 13.68% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 27.37% of all publications and 27.37% 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.