Australian and New Zealand Journal of Statistics

Top Research Topics at Australian & New Zealand Journal of Statistics?

The topics of Statistics, Econometrics, Applied mathematics, Estimator and Mathematical optimization are the focal point of discussions in Australian & New Zealand Journal of Statistics. It explores issues in Statistics which can be linked to other research areas like Variance (accounting) and Estimation. Australian & New Zealand Journal of Statistics explores research in Estimator and the adjacent study of Mean squared error.

• Statistics (48.48%)
• Econometrics (17.55%)
• Applied mathematics (16.52%)

What are the most cited papers published in the journal?

• Generalized Exponential Distributions (810 citations)
• Generalized discriminant analysis based on distances (543 citations)
• PERMUTATION TESTS FOR LINEAR MODELS (436 citations)

Research areas of the most cited articles at Australian & New Zealand Journal of Statistics:

The most cited articles aim to foster the development of research in Statistics, Applied mathematics, Econometrics, Estimator and Mathematical optimization. The journal articles focus on Applied mathematics but the discussions also offer insight into other areas such as Smoothing, Combinatorics, Autoregressive integrated moving average, Smoothing spline and Autoregressive model. The featured Econometrics studies in the most cited papers mainly concentrate on Model selection but also cover areas of interest in Akaike information criterion.

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:

Australian & New Zealand Journal of Statistics mainly deals with areas of study such as Point process, Applied mathematics, Algorithm, Statistics and Intensity (heat transfer). The work on Point process tackled in Australian & New Zealand Journal of Statistics brings together disciplines like Cerebral cortex, Determinantal point process and Anisotropy. The studies on Applied mathematics discussed can also contribute to research in the domains of Zero inflation, Zero (complex analysis), Missing not at random, Point (geometry) and Rounding.

It mainly concentrates on Algorithm but also investigates its connection with concepts in disciplines such as

• Nonparametric statistics, which have a strong connection to Robustness (computer science), Central symmetry, Multivariate statistics and Resampling,
• Bayesian information criterion that intertwine with fields like Effective sample size, Consistency (statistics), Parametric statistics, Unimodality and Cluster analysis.. Research on Statistics addressed in Australian & New Zealand Journal of Statistics frequently intersections with the field of Asymptotic power. While the primary focus in the journal is Intensity (heat transfer), it also dissects topics surrounding Estimator and Mean squared error and Adaptive kernel as a whole.

The most cited articles from the last journal are:

• Information criteria for inhomogeneous spatial point processes (8 citations)
• The Inverse G-Wishart distribution and variational message passing (1 citations)
• Modelling temporal genetic and spatio-temporal residual effects for high-throughput phenotyping data (1 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 Australian & New Zealand Journal of Statistics (based on the number of publications) are:

• Paul Kabaila (22 papers) absent at the last edition,
• Emlyn Williams (22 papers) absent at the last edition,
• Chris Lloyd (21 papers) absent at the last edition,
• Alan H. Welsh (21 papers) absent at the last edition,
• Richard Huggins (17 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 Australian & New Zealand Journal of Statistics (based on the number of publications) are:

• Australian National University (127 papers) published 2 papers at the last edition, 2 less than at the previous edition,
• Commonwealth Scientific and Industrial Research Organisation (94 papers) published 1 paper at the last edition,
• University of Sydney (75 papers) absent at the last edition,
• La Trobe University (73 papers) absent at the last edition,
• University of New South Wales (60 papers) published 1 paper at the last edition, 1 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, 12.50% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.57% 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 19.05% of all publications and 38.10% 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.