SCOPUS
Communications in Statistics Case Studies Data Analysis and Applications
Taylor & Francis, United Kingdom
Communications in Statistics Case Studies Data Analysis and Applications is an academic journal published by Taylor & Francis (United Kingdom). Identifiers: eISSN 2373-7484. Indexed in SCOPUS. Metrics: CiteScore 1.6, SJR 0.282, SNIP 0.55. tlooto lists 369 papers from this journal.
CiteScore
1.60
Scopus citation metric
SJR
0.282
SCImago rank
SNIP
0.55
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- -
- eISSN
- 2373-7484
- Abbreviation
- -
- Publisher
- Taylor & Francis
- Country
- United Kingdom
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
2603 Analysis2604 Applied Mathematics2613 Statistics and Probability
Papers in this journal
Recent papers
- Use of CART and Gaussian Copula for synthetic data generation: A comparative study on the effects of COVID-19 on education and mental health
2026
- Interconnected economies: Exploring financial and economic dependencies between GCC and Turkey
2026
- Estimating common patterns of sea lice infestation among marine aquaculture sites
2026
- Long-term impact of liver allocation policies on demographic disparities in liver transplantation graft failure proportion using interrupted time series analysis
2026
- Dorsal hand vein biometric recognition: A comparative analysis of feature extraction methods
2026
Most cited papers
- Confidence interval for the AUC of SROC curve and some related methods using bootstrap for meta-analysis of diagnostic accuracy studies
2020 · 56 citations
- A flexible probability model for proportion data: Unit-half-normal distribution
2021 · 38 citations
- A comparison of time-homogeneous Markov chain and Markov process multi-state models
2016 · 24 citations
- Bayesian GARMA models for count data
2015 · 22 citations
- Survival of Broadway shows: An empirical investigation of recent trends
2015 · 19 citations