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Journal of the Royal Statistical Society. Series C: Applied Statistics
H-index 15

Journal of the Royal Statistical Society. Series C: Applied Statistics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 233 50 74 11

Additional Metrics

Number of Best Scientists*: 136
Documents by Best Scientists*: 142
Top 100 Ranked Scientists*: 11
SCIMAGO H-index: 83
SCIMAGO SJR: 0.646
Impact Factor: 1.3

Overview

Top Research Topics at Applied statistics?

The foci of the journal are Statistics, Algorithm, Econometrics, Applied mathematics and Regression analysis. The work on Statistics addressed in it expands to the thematically related Estimation.

  • Statistics (34.42%)
  • Algorithm (13.10%)
  • Econometrics (11.07%)

What are the most cited papers published in the journal?

  • Probit Analysis (3rd ed). (2777 citations)
  • An Exploratory Technique for Investigating Large Quantities of Categorical Data (2102 citations)
  • Adaptive Rejection Sampling for Gibbs Sampling (1406 citations)

Research areas of the most cited articles at Applied statistics:

The most cited articles are organized to reinforce research efforts on Statistics, Econometrics, Applied mathematics, Algorithm and Regression analysis. The most cited publications address concerns in the field of Statistics by exploring it in line with topics in Variance (accounting) which intersect with Sampling (statistics) subjects. The most cited publications with studies in Econometrics featured incorporate elements of Parametric statistics, Maximum likelihood, Likelihood function, Weibull distribution and Extreme value theory.

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 Applied statistics (based on the number of publications) are:

  • Martin Crowder (8 papers) absent at the last edition,
  • John C. Gower (8 papers) absent at the last edition,
  • Andrew Ehrenberg (6 papers) absent at the last edition,
  • Alan J. Miller (5 papers) absent at the last edition,
  • Maurice G. Kendall (5 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 Applied statistics (based on the number of publications) are:

  • University of Kent (20 papers) absent at the last edition,
  • Commonwealth Scientific and Industrial Research Organisation (19 papers) absent at the last edition,
  • Harvard University (18 papers) absent at the last edition,
  • University College London (17 papers) absent at the last edition,
  • University of Southampton (17 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 2012 edition, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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

  • Bayesian analysis of tests with unknown specificity and sensitivity

    Andrew Gelman;Bob Carpenter

    (2020)
    129 Citations
  • Forecasting high‐frequency spatio‐temporal wind power with dimensionally reduced echo state networks

    (2021)
    31 Citations
  • A flexible parametric modelling framework for survival analysis

    Kevin Burke;M. C. Jones;Angela Noufaily

    (2020)
    22 Citations
  • Global forensic geolocation with deep neural networks

    Neal S. Grantham;Brian J. Reich;Eric B. Laber;Krishna Pacifici

    (2020)
    21 Citations
  • Linear mixed effects models for non‐Gaussian continuous repeated measurement data

    Özgür Asar;David Bolin;David Bolin;Peter J. Diggle;Jonas Wallin

    (2020)
    19 Citations
  • Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data

    (2023)
    17 Citations
  • Reliability analysis of artificial intelligence systems using recurrent events data from autonomous vehicles

    (2021)
    16 Citations
  • A computationally efficient Bayesian seemingly unrelated regressions model for high‐dimensional quantitative trait loci discovery

    Leonardo Bottolo;Leonardo Bottolo;Marco Banterle;Sylvia Richardson;Mika Ala‐Korpela;Mika Ala‐Korpela

    (2021)
    15 Citations
  • Inference for extreme values under threshold-based stopping rules

    Anna Maria Barlow;Chris Sherlock;Jonathan Tawn

    (2020)
    15 Citations
  • Modelling the spatial extent and severity of extreme European windstorms

    Paul Sharkey;Jonathan A. Tawn;Simon J. Brown

    (2020)
    14 Citations

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Best Scientists Contributing to This Journal

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