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Statistics and Computing- Springer Nature | 2024 Impact Factor:1.6 | Cite Score:2.5 | Q1

Statistics and Computing Journal

Impact Factor and Journal Rank of Statistics and Computing

  • About: Statistics and Computing provides a platform for researchers, practitioners, and professionals to publish original research articles, reviews, and applications that integrate statistical methodologies with computational techniques. The journal aims to foster collaboration and advancements in statistical computing across various disciplines.
  • Publication Frequency: The journal is published regularly to provide timely dissemination of research findings and advancements in computational statistics.
  • Peer Review: All submissions undergo rigorous peer review by experts in the field to ensure high academic standards and scientific rigor.
  • Impact: Statistics and Computing aims to advance the field by promoting innovative research at the intersection of statistics and computer science, facilitating the development of computational tools and methodologies for statistical analysis.

  • Editor-in-Chief:  Ajay Jasra

  • Scope: The journal covers a wide range of topics within the domain of computational statistics, including:
  • Statistical Algorithms: Development and implementation of algorithms for statistical analysis, data mining, and machine learning.
  • Computational Methods: Techniques and methodologies for efficient computation of statistical procedures, simulations, and numerical methods.
  • Statistical Software: Design, evaluation, and application of statistical software packages, libraries, and environments.
  • Big Data Analytics: Statistical methods and computing techniques for analyzing large-scale and complex datasets.
  • Bayesian Statistics: Computational aspects of Bayesian inference, Markov chain Monte Carlo (MCMC) methods, and Bayesian computation.
  • High-Performance Computing: Parallel and distributed computing techniques for accelerating statistical computations.
  • Visualization: Techniques for visualizing statistical data and results using computational tools and software.
  • Applications: Practical applications of statistical computing in fields such as bioinformatics, finance, engineering, social sciences, and beyond.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  09603174

    Electronic ISSN:   15731375

  • Abstracting and Indexing:  SCOPUS, Science Citation Index Expanded

  • Imapct Factor 2024:  1.6

  • Subject Area and Category:  Computer Science ,Computational Theory and Mathematics,Decision Sciences,Statistics, Probability and Uncertainty,Mathematics,Statistics and Probability,Theoretical Computer Science

  • Publication Frequency:  

  • H Index:  89

  • Best Quartile:

    Q1:  Computational Theory and Mathematics

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  • Cite Score:  2.5

  • SNIP:  1.265

  • Journal Rank(SJR):  0.815