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Communications in Statistics - Theory and Methods
H-index 17

Communications in Statistics - Theory and Methods

0361-0926

Published by: Taylor & Francis

https://www.tandfonline.com/toc/lsta20/current

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 178 47 118 13

Additional Metrics

Number of Best Scientists*: 144
Documents by Best Scientists*: 231
Top 100 Ranked Scientists*: 2
SCIMAGO H-index: 76
SCIMAGO SJR: 0.462
Impact Factor: N/A

Overview

Top Research Topics at Communications in Statistics?

Communications in Statistics generally zeroes in on subjects such as Statistics, Estimator, Combinatorics, Applied mathematics and Distribution (mathematics). It focuses on Statistics as well as the interrelated topic of Econometrics. Communications in Statistics addresses concerns in Econometrics which are intertwined with other disciplines, such as Goodness of fit and Segmented regression.

The overlapping concepts between Poisson distribution and Compound Poisson process are the key highlights of Estimator study. Combinatorics research presented in Communications in Statistics encompasses a variety of subjects, including Matrix (mathematics), Wishart distribution and Factorial. Communications in Statistics holds forums on Wishart distribution that merges themes from other disciplines such as Multivariate normal distribution and Multivariate t-distribution.

Communications in Statistics explores topics in Applied mathematics which can be helpful for research in disciplines like Covariance, Estimation of covariance matrices and Mathematical optimization. The concepts on Distribution (mathematics) presented in the journal can also apply to other research fields, including Discrete mathematics and Random variable. While the journal focused on Sampling (statistics), it was also able to explore topics like Probability distribution and Simple (abstract algebra).

  • Statistics (61.22%)
  • Estimator (18.37%)
  • Combinatorics (14.29%)

What are the most cited papers published in the journal?

  • Robustness of the linear and quadratic discriminant function to certain types of non‐normality (163 citations)
  • Unified theory of least squares (63 citations)
  • Adaptive distribution-free tests (56 citations)

Research areas of the most cited articles at Communications in Statistics:

The published papers cover a variety of subjects, including Statistics, Combinatorics, Test procedures, Sample (statistics) and Probability distribution. The Statistics studies presented in the journal articles encompass related topics like Statistic, Non normality and Quadratic discriminant function and also examine its connection to subjects such as Preference (economics) and Computer generation. The published Combinatorics research zeroes in on concepts in Linear space but also tackles themes under Social connectedness.

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

  • Statistics
  • Normal distribution
  • Algebra

The previous edition focused in particular on these issues:

The objective of the journal is to combine knowledge in the areas of Statistics, First-difference estimator, Multiple time dimensions, Panel data and Structure (category theory). The Statistics works, particularly on Skewness are tackled in the journal.

The most cited articles from the last journal are:

  • Sparse canonical correlation analysis between an alcohol biomarker and self-reported alcohol consumption (0 citations)
  • Analysis of Censored Longitudinal Data with Skewness and a Terminal Event (0 citations)
  • Random weighting estimation of sampling distributions via importance resampling (0 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 (based on the number of publications) are:

  • John G. Saw (4 papers) absent at the last edition,
  • Peter Tan (2 papers) absent at the last edition,
  • James M. Freeman (2 papers) absent at the last edition,
  • Campbell B. Read (2 papers) absent at the last edition,
  • Mingxiu Hu (1 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 (based on the number of publications) are:

  • University of Florida (4 papers) published 1 paper at the last edition,
  • University of North Carolina at Chapel Hill (3 papers) absent at the last edition,
  • McGill University (2 papers) absent at the last edition,
  • Texas A&M University (2 papers) absent at the last edition,
  • Virginia Tech (2 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 2017 edition, 75.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 100.00% 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 0.00% of all publications and 0.00% 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

  • Modified regression estimators using robust regression methods and covariance matrices in stratified random sampling

    (2020)
    48 Citations
  • An efficient family of robust-type estimators for the population variance in simple and stratified random sampling

    (2021)
    30 Citations
  • On weighted extropies

    Narayanaswamy Balakrishnan;Francesco Buono;Maria Longobardi

    (2020)
    27 Citations
  • New definition of the cross entropy based on the Dempster-Shafer theory and its application in a decision-making process

    Mehran Khalaj;Reza Tavakkoli-Moghaddam;Reza Tavakkoli-Moghaddam;Fereshteh Khalaj;Ali Siadat

    (2020)
    27 Citations
  • A mixed double sampling plan based on Cpk

    Saminathan Balamurali;Muhammad Aslam;Liaquat Ahmad;Chi-Hyuck Jun

    (2020)
    20 Citations
  • Statistical convergence of complex uncertain triple sequence

    Birojit Das;Binod Chandra Tripathy;Piyali Debnath;Baby Bhattacharya

    (2021)
    20 Citations
  • A novel flexible additive Weibull distribution with real-life applications

    Alamgir Khalil;Muhammad Ijaz;Kashif Ali;Wali Khan Mashwani

    (2021)
    19 Citations
  • On the joint Type-II progressive censoring scheme

    Shuvashree Mondal;Debasis Kundu

    (2020)
    19 Citations
  • Design of a sign chart using a new EWMA statistic

    Muhammad Aslam;Muhammad Ali Raza;Muhammad Azam;Liaquat Ahmad

    (2020)
    17 Citations
  • A mixture autoregressive model based on Student's t-distribution

    Mika Meitz;Daniel Preve;Pentti Saikkonen

    (2021)
    16 Citations

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