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Journal of Official Statistics
H-index 8

Journal of Official Statistics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 709 4 6 3

Additional Metrics

Number of Best Scientists*: 21
Documents by Best Scientists*: 29
Top 100 Ranked Scientists*: 2
SCIMAGO H-index: 35
SCIMAGO SJR: 0.407
Impact Factor: 1.1

Overview

Top Research Topics at Journal of Official Statistics?

The journal facilitates discussions on Statistics, Econometrics, Probability and statistics, Sample (statistics) and Estimator. The studies in Statistics featured incorporate elements of Variance (accounting) and Estimation. While Journal of Official Statistics focused on Econometrics, it was also able to explore topics like Weighting and Data collection.

While Probability and statistics is the focus of it, it also provided insights into the studies of Data mining and Official statistics.

  • Statistics (30.40%)
  • Econometrics (24.19%)
  • Probability and statistics (16.56%)

What are the most cited papers published in the journal?

  • To mix or not to mix data collection modes in surveys. (638 citations)
  • Probability based estimation theory for respondent driven sampling (440 citations)
  • Multiple Imputation for Statistical Disclosure Limitation (305 citations)

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

The published papers are organized to reinforce research efforts on Econometrics, Statistics, Social psychology, Interview and Sample (statistics). The majority of Econometrics studies in the published articles are focused on the issues of Non-response bias. The journal papers hold forums on Interview that merge themes from other disciplines such as Survey methodology, Survey data collection and Medical education.

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

  • Statistics
  • Artificial intelligence
  • Normal distribution

The previous edition focused in particular on these issues:

The topics of Statistics, Econometrics, Data science, Bayesian inference and Estimator are the focal point of discussions in the journal. Statistics research discussed connects with the study of Transaction data. Autoregressive model are all disciplines of Econometrics that connect with topics in Measure (physics).

Journal of Official Statistics explores topics in Data science which can be helpful for research in disciplines like Data quality, Official statistics and Big data. Quantile, Quantile regression, Generalized linear model and Linear regression are some topics wherein Bayesian inference research discussed in the journal have an impact. Journal of Official Statistics holds forums on Estimator that merges themes from other disciplines such as Covariate and Error detection and correction.

The most cited articles from the last journal are:

  • Spatio-Temporal Patterns in Portuguese Regional Fertility Rates: A Bayesian Approach for Spatial Clustering of Curves (2 citations)
  • An App-Assisted Travel Survey in Official Statistics: Possibilities and Challenges (1 citations)
  • Can Smart City Data be Used to Create New Official Statistics (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.

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

  • Li-Chun Zhang (14 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Roger Tourangeau (11 papers) absent at the last edition,
  • Mick P. Couper (11 papers) absent at the last edition,
  • Phillip S. Kott (11 papers) absent at the last edition,
  • Paul Biemer (10 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 Journal of Official Statistics (based on the number of publications) are:

  • University of Michigan (37 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Statistics Netherlands (30 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • United States Census Bureau (28 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • University of Southampton (17 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Utrecht University (14 papers) published 2 papers at the last edition, 1 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, 9.68% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 60.71% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.86% of all publications and 21.43% 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

  • Proxy Pattern-Mixture Analysis for a Binary Variable Subject to Nonresponse.

    Rebecca R. Andridge;Roderick J.A. Little

    (2020)
    14 Citations
  • A simulation study of diagnostics for selection bias.

    Philip S. Boonstra;Roderick J.A. Little;Brady T. West;Rebecca R. Andridge

    (2021)
    10 Citations
  • Probabilistic Projection of Subnational Life Expectancy

    Hana Ševčíková;Adrian E. Raftery

    (2021)
    5 Citations
  • Fay-Herriot Model-Based Prediction Alternatives for Estimating Households with Emigrated Members

    (2021)
    1 Citations
  • Design and Sample Size Determination for Experiments on Nonresponse Followup using a Sequential Regression Model

    (2023)
    1 Citations
  • A Statistical Comparison of Call Volume Uniformity Due to Mailing Strategy

    (2023)
    0 Citations

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Best Scientists Contributing to This Journal

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