Computational Statistics & Data Analysis
Key findings#
- Computational Statistics & Data Analysis published 7 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #146 of 392 journals.
- Leading institutions: University College London (1), University of Exeter (1) and Korea University (1).
- Countries: United States (2), United Kingdom (1) and South Korea (1).
- From Oct 2023 to Sep 2026, Computational Statistics & Data Analysis published 377 papers (10 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “feature selection” (32), “high-dimensional data” (27) and “asymptotic normality” (20).
- Its most-cited paper of the period is “Conditional-mean multiplicative operator models for count time series” (2023-11-06), with 15 citations.
- Since October 2016, its most-cited paper is “A note on the validity of cross-validation for evaluating autoregressive time series prediction” (2017-11-23), with 774 citations.
The last 36 months#
Oct 23Sep 26
| Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---|---|---|---|
| 126 | 144 | 107 | 377 |
| # | Keyword | Papers |
|---|---|---|
| 1 | feature selection | 32 |
| 2 | high-dimensional data | 27 |
| 3 | asymptotic normality | 20 |
| 4 | computational efficiency | 19 |
| 5 | parameter estimation | 13 |
| 6 | outliers | 11 |
| 7 | asymptotic properties | 10 |
| 8 | consistency | 10 |
| 9 | maximum likelihood estimation | 10 |
| 10 | asymptotic distribution | 9 |
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 15 | 0.4 | Conditional-mean multiplicative operator models for count time series | Computational Statistics & Data Analysis | 2023-11-06 | Christian H. Weiß, Fukang Zhu |
| 2 | 12 | 0.8 | High-dimensional and banded integer-valued autoregressive processes | Computational Statistics & Data Analysis | 2025-07-04 | Nuo Xu, Kai Yu Yang |
| 3 | 12 | 1.4 | Robust Bayesian high-dimensional variable selection and inference with the horseshoe family of priors | Computational Statistics & Data Analysis | 2026-02-17 | Kun Fan, Srijana Subedi, Vishmi Dissanayake et al. |
| 4 | 10 | 0.3 | One point per cluster spatially balanced sampling | Computational Statistics & Data Analysis | 2023-11-06 | B. L. Robertson, Christopher John Price |
| 5 | 10 | 0.3 | Multi-block alternating direction method of multipliers for ultrahigh dimensional quantile fused regression | Computational Statistics & Data Analysis | 2023-11-28 | Xiaofei Wu, Hao Ming, Zhimin Zhang et al. |
Most-cited since October 2016# All journals →
| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-23 | Generalized and scalable deep Gaussian process emulation | Computational Statistics & Data Analysis | Deyu Ming, Daniel Williamson | University College London; University of Exeter |
| 2026-10-16 | Penalized principal machines for sufficient dimension reduction and its efficient computation | Computational Statistics & Data Analysis | Jungmin Shin, Seung Jun Shin | Korea University |
| 2026-10-16 | Detecting change points in the hemodynamic response in event-related functional magnetic resonance imaging | Computational Statistics & Data Analysis | Friederike Preusse, Thorsten Dickhaus, André Brechmann | University of Bremen; Leibniz Institute for Neurobiology |
| 2026-10-15 | A novel multi-exposure-to-multi-mediator mediation model for imaging genetics studies of brain disorders | Computational Statistics & Data Analysis | Neng Wang, ERIC V. SLUD, Tianzhou Ma | University of Maryland, College Park |
| 2026-10-11 | INLA-RF: A hybrid modeling strategy for spatio-temporal environmental data | Computational Statistics & Data Analysis | Mario Figueira, Michela Cameletti, Luca Patelli | Universitat de València; University of Bergamo |
| 2026-10-07 | Inference in a factorial hidden semi-Markov model with variational EM | Computational Statistics & Data Analysis | Ronan Trépos, Régis Sabbadin, Sam Nicol et al. | Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Mathématiques et Informatique Appliquées Toulouse; Commonwealth Scientific and Industrial Research Organisation; … |
| 2026-10-01 | A joint modeling approach to treatment effects estimation with unmeasured confounders in clustered data | Computational Statistics & Data Analysis | Namhwa Lee, Guanyu Hu, Shujie Ma | University of California, Riverside; The University of Texas Health Science Center at Houston |
Cite this page
Scholar4AI. (2026). Computational Statistics & Data Analysis. Journal Research Rankings. Retrieved October 30, 2026, from https://scholar4ai.com/journals/computational-statistics-data-analysis
@misc{scholar4ai-journals-computational-statistics-data-analysis,
author = {{Scholar4AI}},
title = {Computational Statistics & Data Analysis},
year = {2026},
howpublished = {\url{https://scholar4ai.com/journals/computational-statistics-data-analysis}},
urldate = {2026-10-30},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}