Computational Statistics
Key findings#
- Computational Statistics published 9 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #116 of 392 journals.
- Leading institutions: Ostim Technical University (1), Cadi Ayyad University (1) and Université du Québec à Montréal (1).
- Countries: Turkey (2), Morocco (2) and China (2).
- From Oct 2023 to Sep 2026, Computational Statistics published 384 papers (11 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “feature selection” (32), “maximum likelihood estimation” (22) and “high-dimensional data” (17).
- Its most-cited paper of the period is “A novel hybrid framework for forecasting stock indices based on the nonlinear time series models” (2025-03-11), with 33 citations.
- Since October 2016, its most-cited paper is “What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?” (2020-06-13), with 418 citations.
The last 36 months#
Oct 23Sep 26
| Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---|---|---|---|
| 139 | 112 | 133 | 384 |
| # | Keyword | Papers |
|---|---|---|
| 1 | feature selection | 32 |
| 2 | maximum likelihood estimation | 22 |
| 3 | high-dimensional data | 17 |
| 4 | computational efficiency | 15 |
| 5 | expectation-maximization algorithm | 15 |
| 6 | asymptotic normality | 13 |
| 7 | parameter estimation | 13 |
| 8 | robust estimation | 12 |
| 9 | nonparametric regression | 11 |
| 10 | mixture models | 10 |
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 33 | 1.7 | A novel hybrid framework for forecasting stock indices based on the nonlinear time series models | Computational Statistics | 2025-03-11 | Hasnain Iftikhar, Faridoon Khan, Elías A. Torres Armas et al. |
| 2 | 30 | 0.8 | A software reliability model incorporating fault removal efficiency and it’s release policy | Computational Statistics | 2023-11-09 | Umashankar Samal, Ajay Kumar |
| 3 | 27 | 1.0 | Performance of evaluation metrics for classification in imbalanced data | Computational Statistics | 2024-08-24 | Alex de la Cruz Huayanay, Jorge L. Bazán, Cibele Maria Russo |
| 4 | 13 | 0.4 | Pair programming with ChatGPT for sampling and estimation of copulas | Computational Statistics | 2023-11-30 | Jan Górecki |
| 5 | 12 | 0.4 | Expectile regression averaging method for probabilistic forecasting of electricity prices | Computational Statistics | 2024-05-29 | Joanna Janczura |
Most-cited since October 2016# All journals →
Cite this page
Scholar4AI. (2026). Computational Statistics. Journal Research Rankings. Retrieved October 30, 2026, from https://scholar4ai.com/journals/computational-statistics
@misc{scholar4ai-journals-computational-statistics,
author = {{Scholar4AI}},
title = {Computational Statistics},
year = {2026},
howpublished = {\url{https://scholar4ai.com/journals/computational-statistics}},
urldate = {2026-10-30},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}