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Scandinavian Journal of Statistics
H-index 13

Scandinavian Journal of Statistics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 174 56 74 13

Additional Metrics

Number of Best Scientists*: 82
Documents by Best Scientists*: 96
Top 100 Ranked Scientists*: 7
SCIMAGO H-index: 72
SCIMAGO SJR: 0.871
Impact Factor: 1

Overview

Top Research Topics at Scandinavian Journal of Statistics?

The journal is mainly concerned with subjects like Statistics, Applied mathematics, Estimator, Econometrics and Asymptotic distribution. The journal facilitated presentations on Statistics research, particularly Regression analysis, Covariate, Statistical hypothesis testing, Likelihood function and Estimation theory. Regression analysis research discussed connects with the study of Linear regression.

The concepts on Applied mathematics presented in the journal can also apply to other research fields, including Stochastic process, Density estimation, Mathematical optimization, Markov chain and Calculus. Issues in Estimator were discussed, taking into consideration concepts from other disciplines like Mean squared error, Nonparametric statistics and Parametric statistics. The research on Econometrics tackled can also make contributions to studies in the areas of Inference and Proportional hazards model.

  • Statistics (50.94%)
  • Applied mathematics (30.63%)
  • Estimator (30.45%)

What are the most cited papers published in the journal?

  • A Simple Sequentially Rejective Multiple Test Procedure (16573 citations)
  • Nonparametric estimation of the number of classes in a population (3060 citations)
  • A class of distributions which includes the normal ones (2091 citations)

Research areas of the most cited articles at Scandinavian Journal of Statistics:

The most cited papers are organized to reinforce research efforts on Statistics, Applied mathematics, Estimator, Econometrics and Regression analysis. In addition to Applied mathematics research, the published papers aim to explore topics under Probability distribution, Markov chain Monte Carlo, Mathematical optimization, Markov chain and Calculus. The most cited papers explore topics in Estimator which can be helpful for research in disciplines like Function (mathematics) and Kernel (statistics).

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:

Estimator, Applied mathematics, Statistics, Algorithm and Asymptotic distribution are the subjects of interest in the journal. Some problems in Estimator that were presented in Scandinavian Journal of Statistics overlapped with concepts under Nonparametric statistics, Measure (mathematics), Identifiability, Function (mathematics) and Moment (mathematics). Topics in Applied mathematics explored in it were investigated in conjunction with research in Estimation theory, Covariance and Multivariate statistics.

The Statistics study presented in it encompasses related topics like Covariate, Null hypothesis and Statistic and also examines its connection to subjects such as Longitudinal data and Context (language use). The research on Algorithm featured in it combines topics in other fields like Structure (category theory), Bayesian inference, Thresholding and Markov chain Monte Carlo. While work presented in Scandinavian Journal of Statistics provided substantial information on Asymptotic distribution, it also covered topics in Test statistic, Inference and Consistency (statistics).

The most cited articles from the last journal are:

  • Maximum Likelihood Estimation for Totally Positive Log-Concave Densities (12 citations)
  • Max-infinitely divisible models and inference for spatial extremes (9 citations)
  • Adaptive estimating function inference for non-stationary determinantal point processes (8 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.

The top authors publishing in Scandinavian Journal of Statistics (based on the number of publications) are:

  • Jesper Møller (16 papers) published 1 paper at the last edition,
  • Ingrid Van Keilegom (16 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Lixing Zhu (14 papers) published 3 papers at the last edition,
  • Ole E. Barndorff-Nielsen (14 papers) absent at the last edition,
  • Thomas H. Scheike (14 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in Scandinavian Journal of Statistics (based on the number of publications) are:

  • University of Oslo (45 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • University of Copenhagen (42 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Aarhus University (36 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Norwegian University of Science and Technology (25 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • Université catholique de Louvain (23 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, 2.47% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.05% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.99% of all publications and 50.63% 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.

Top Publications

  • Divergence versus decision P‐values: A distinction worth making in theory and keeping in practice: Or, how divergence P‐values measure evidence even when decision P‐values do not

    (2022)
    36 Citations
  • Multiscale change point detection for dependent data

    Holger Dette;Theresa Eckle;Mathias Vetter

    (2020)
    28 Citations
  • Connecting simple and precise P‐values to complex and ambiguous realities (includes rejoinder to comments on “Divergence vs. decision P‐values”)

    (2023)
    28 Citations
  • Fitting inhomogeneous phase-type distributions to data: the univariate and the multivariate case

    Hansjoerg Albrecher;Mogens Bladt;Jorge Yslas

    (2020)
    27 Citations
  • Stable inverse probability weighting estimation for longitudinal studies

    Vahe Avagyan;Stijn Vansteelandt;Stijn Vansteelandt

    (2021)
    23 Citations
  • Multivariate Conditional Transformation Models

    Nadja Klein;Torsten Hothorn;Luisa Barbanti;Thomas Kneib

    (2020)
    20 Citations
  • Maximum Likelihood Estimation for Totally Positive Log-Concave Densities

    Elina Robeva;Elina Robeva;Bernd Sturmfels;Bernd Sturmfels;Ngoc Mai Tran;Caroline Uhler

    (2021)
    18 Citations
  • Identifiability and estimation of recursive max-linear models

    Nadine Gissibl;Claudia Klüppelberg;Steffen Lauritzen

    (2021)
    17 Citations
  • Adaptive estimating function inference for non-stationary determinantal point processes

    Frédéric Lavancier;Arnaud Poinas;Rasmus Waagepetersen

    (2021)
    17 Citations
  • Inferactive data analysis

    Nan Bi;Jelena Markovic;Lucy Xia;Jonathan Taylor

    (2020)
    15 Citations

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Best Scientists Contributing to This Journal

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