Communications in Statistics Part B: Simulation and Computation
Published by Taylor & Francis
ISSN : 0361-0918 eISSN : 1532-4141
Abbreviation : Commun. Stat. Part B Simul. Comput.
Aims & Scope
The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics.
Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication.
Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant.
In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.
View Aims & ScopeMetrics & Ranking
Journal Rank
Year | Value |
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2024 | 13107 |
Journal Citation Indicator
Year | Value |
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2024 | 1458 |
Impact Factor
Year | Value |
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2024 | 0.80 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.430 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
h-index
Year | Value |
---|---|
2024 | 60 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research
Citation: 2006
Authors: Peter C.
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How Big is a Big Odds Ratio? Interpreting the Magnitudes of Odds Ratios in Epidemiological Studies
Citation: 1488
Authors: Henian, Patricia, Sophie
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A distribution-free approach to inducing rank correlation among input variables
Citation: 1119
Authors: Ronald L., W. J.
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Overview of Friedman’s Test and Post-hoc Analysis
Citation: 425
Authors: Dulce G., Anabela, Fátima Melo
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A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data
Citation: 288
Authors: Margaret, Garnet L