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Communications in Statistics Part B: Simulation and Computation
H-index 10

Communications in Statistics Part B: Simulation and Computation

0361-0918

Published by: Taylor & Francis

https://www.tandfonline.com/toc/lssp20/41/7?nav=tocList

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 262 45 112 10

Additional Metrics

Number of Best Scientists*: 98
Documents by Best Scientists*: 172
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 60
SCIMAGO SJR: 0.43
Impact Factor: N/A

Overview

Top Research Topics at Communications in Statistics - Simulation and Computation?

The journal was organized to reinforce research efforts on Statistics, Estimator, Econometrics, Monte Carlo method and Sample size determination. The studies tackled, which mainly focus on Statistics, apply to Applied mathematics as well. The in-depth study on Estimator also explores topics in the intersecting field of Mean squared error.

Most of the Regression analysis studies addressed also intersect with Linear regression.

  • Statistics (97.20%)
  • Estimator (16.30%)
  • Econometrics (14.54%)

What are the most cited papers published in the journal?

  • A distribution-free approach to inducing rank correlation among input variables (1277 citations)
  • Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research (887 citations)
  • How Big is a Big Odds Ratio? Interpreting the Magnitudes of Odds Ratios in Epidemiological Studies (677 citations)

Research areas of the most cited articles at Communications in Statistics - Simulation and Computation:

The journal publications mostly deal with topics like Statistics, Econometrics, Estimator, Control chart and Monte Carlo method. While Statistics is the key highlight in the published articles, thet also covered some subjects on EWMA chart and Moving average. The studies on Control chart discussed at the journal publications can also contribute to research in the domains of Nonparametric statistics, CUSUM, Standard deviation, Statistical process control and Markov chain.

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

  • Statistics
  • Normal distribution
  • Quantum mechanics

The previous edition focused in particular on these issues:

The journal covers a variety of subjects, including Statistics, Applied mathematics, Estimator, Algorithm and Control chart. Topics like Regression, Maximum likelihood, Linear regression, Bayesian probability and Monte Carlo method are tackled as part of the discussions on Statistics. Most of the works presented in the journal deals with Applied mathematics but it intersects with the subject of Autoregressive model.

The study on Estimator presented is investigated in conjunction with research in Multicollinearity. EWMA chart is a major topic of Control chart research presented in it.

The most cited articles from the last journal are:

  • Control charts of mean and variance using copula Markov SPC and conditional distribution by copula (15 citations)
  • Model diagnostic procedures for copula-based Markov chain models for statistical process control (10 citations)
  • Modified EWMA control chart for transformed gamma data (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 Communications in Statistics - Simulation and Computation (based on the number of publications) are:

  • Narayanaswamy Balakrishnan (58 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • Michael B. C. Khoo (30 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • Christos Koukouvinos (27 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Muhammad Aslam (27 papers) published 6 papers at the last edition, 5 more than at the previous edition,
  • Rand R. Wilcox (24 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 Communications in Statistics - Simulation and Computation (based on the number of publications) are:

  • McMaster University (63 papers) published 2 papers at the last edition, 4 less than at the previous edition,
  • University of São Paulo (55 papers) published 3 papers at the last edition, 5 less than at the previous edition,
  • King Abdulaziz University (54 papers) published 9 papers at the last edition, 6 more than at the previous edition,
  • University of Georgia (44 papers) absent at the last edition,
  • Tamkang University (42 papers) published 4 papers at the last edition, 2 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, 4.74% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.37% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.30% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.63% of all publications and 76.70% 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

  • Generalized extreme shock models and their applications

    Ali Riza Bozbulut;Serkan Eryilmaz

    (2020)
    30 Citations
  • Evaluation of a new version of I2 with emphasis on diagnostic problems

    Heinz Holling;Walailuck Böhning;Ehsan Masoudi;Dankmar Böhning

    (2020)
    25 Citations
  • A variable sampling plan using generalized multiple dependent state based on a one-sided process capability index

    G. Srinivasa Rao;Muhammad Aslam;Chi-Hyuck Jun

    (2021)
    18 Citations
  • Modified EWMA control chart for transformed gamma data

    Aamir Saghir;Liaquat Ahmad;Muhammad Aslam

    (2021)
    18 Citations
  • Double sampling np chart with estimated process parameter

    Ming Ha Lee;Michael B. C. Khoo

    (2021)
    17 Citations
  • Determination and economic design of a generalized multiple dependent state sampling plan

    Muhammad Aslam;Saminathan Balamurali;Chi-Hyuck Jun

    (2021)
    17 Citations
  • CEV-Hybrid Dewma charts for censored data using Weibull distribution

    Sajid Ali;Syed Muhammad Muslim Raza;Muhammad Aslam;Muhammad Moeen Butt

    (2021)
    17 Citations
  • Optimal designs of the exponentially weighted moving average (EWMA) median chart for known and estimated parameters based on median run length

    Z. L. Chong;K. L. Tan;Michael B. C. Khoo;W. L. Teoh

    (2020)
    15 Citations
  • Distribution-free mixed GWMA-CUSUM and CUSUM-GWMA Mann–Whitney charts to monitor unknown shifts in the process location

    K. Mabude;J.-C. Malela-Majika;P. Castagliola;S. C. Shongwe

    (2020)
    15 Citations
  • Principal component analysis-based control charts using support vector machines for multivariate non-normal distributions

    Moez Farokhnia;Seyed Taghi Akhavan Niaki

    (2020)
    12 Citations

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