Statistical Methods & Applications
Key findings#
- Statistical Methods & Applications published 2 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #286 of 392 journals.
- Leading institutions: Università Cattolica del Sacro Cuore (1), University of Rome Tor Vergata (1) and Universidade de São Paulo (1).
- Countries: Italy (1) and Brazil (1).
- From Oct 2023 to Sep 2026, Statistical Methods & Applications published 157 papers (4 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “small area estimation” (9), “Italy” (7) and “heavy-tailed distributions” (7).
- Its most-cited paper of the period is “Point and probabilistic forecast reconciliation for general linearly constrained multiple time series” (2023-12-21), with 20 citations.
- Since October 2016, its most-cited paper is “Random forest-based approach for physiological functional variable selection for driver’s stress level classification” (2018-02-12), with 63 citations.
The last 36 months#
Oct 23Sep 26
| Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---|---|---|---|
| 39 | 45 | 73 | 157 |
| # | Keyword | Papers |
|---|---|---|
| 1 | small area estimation | 9 |
| 2 | Italy | 7 |
| 3 | heavy-tailed distributions | 7 |
| 4 | high-dimensional data | 7 |
| 5 | asymptotic distribution | 5 |
| 6 | compositional data | 5 |
| 7 | hypothesis testing | 5 |
| 8 | maximum likelihood estimation | 5 |
| 9 | measurement error | 5 |
| 10 | outliers | 5 |
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 20 | 0.6 | Point and probabilistic forecast reconciliation for general linearly constrained multiple time series | Statistical Methods & Applications | 2023-12-21 | Daniele Girolimetto, Tommaso Di Fonzo |
| 2 | 8 | 0.3 | Endogeneity in stochastic frontier models with 'wrong' skewness: copula approach without external instruments | Statistical Methods & Applications | 2024-04-03 | Rouven E. Haschka |
| 3 | 7 | 0.3 | Robust adaptive LASSO in high-dimensional logistic regression | Statistical Methods & Applications | 2024-07-17 | Ayanendranath Basu, Abhik Ghosh, María Jaenada et al. |
| 4 | 7 | 0.3 | A finite mixture approach for the analysis of digital skills in Bulgaria, Finland and Italy: the role of socio-economic factors | Statistical Methods & Applications | 2024-11-01 | Dalila Failli, Bruno Arpino, Maria Francesca Marino |
| 5 | 7 | 0.6 | RM-SMOTE: a new robust balancing technique | Statistical Methods & Applications | 2025-11-03 | Rasool Taban, Cláudia Nunes, M. Rosário Oliveira |
Most-cited since October 2016# All journals →
| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-26 | A selective overview of population size estimation in humanitarian upheavals | Statistical Methods & Applications | Alessio Farcomeni, Rosario Barone | University of Rome Tor Vergata; Università Cattolica del Sacro Cuore |
| 2026-10-22 | Long term survival model with frailt terms based on the power variance function family | Statistical Methods & Applications | Michelle M. Sacramento, Gladys D. C. Barriga, Vicente G. Cancho et al. | Universidade de São Paulo; Universidade Estadual Paulista (Unesp) |
Cite this page
Scholar4AI. (2026). Statistical Methods & Applications. Journal Research Rankings. Retrieved October 30, 2026, from https://scholar4ai.com/journals/statistical-methods-applications
@misc{scholar4ai-journals-statistical-methods-applications,
author = {{Scholar4AI}},
title = {Statistical Methods & Applications},
year = {2026},
howpublished = {\url{https://scholar4ai.com/journals/statistical-methods-applications}},
urldate = {2026-10-30},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}