---
title: "Statistics research rankings and trends"
description: "In the last 30 days (2026-10-01 to 2026-10-30), 128 papers were published in the 16 tracked statistics journals (as indexed by OpenAlex). The most frequent keywords were “asymptotic distribution” (9), “functional data analysis” (7) and “asymptotic normality” (5)."
url: https://scholar4ai.com/categories/statistics
markdown_url: https://scholar4ai.com/categories/statistics.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "In the last 30 days (2026-10-01 to 2026-10-30), 128 papers were published in the 16 tracked statistics journals (as indexed by OpenAlex)."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-30T12:46:54+09:00
window: 2026-10-01 to 2026-10-30
source: OpenAlex (CC0)
---

# Statistics research rankings

Papers in the 16 tracked statistics journals, window 2026-10-01 – 2026-10-30 (30 days). Keywords, institutions, web domains and countries are ranked by paper count.

Latest monthly report: https://scholar4ai.com/reports/2026-09.md (all months: https://scholar4ai.com/reports.md)

- Papers (30 days): 128
- Papers (last 7 days): 12
- Journals: 16
- Institutions: 197
- Countries: 39
- Web domains: 189

## Key findings

- In the last 30 days (2026-10-01 to 2026-10-30), 128 papers were published in the 16 tracked statistics journals (as indexed by OpenAlex).
- The most frequent keywords were “asymptotic distribution” (9), “functional data analysis” (7) and “asymptotic normality” (5).
- The institutions with the most papers were Politecnico di Milano (4), Nanyang Technological University (3) and Universidade de Santiago de Compostela (3).
- China was involved in 16% of the papers (20), followed by United Kingdom (16) and United States (16).
- Among institution web domains, .edu.cn appeared on 16% of the papers.
- The most-mentioned equations and models were Principal component analysis (PCA) (11), Kullback-Leibler divergence (5) and Gradient boosting (XGBoost) (4).
- The most-mentioned kinds of data were Optimization benchmark instances (9), Stock market indices (4) and Medical and clinical datasets (3); the most-mentioned datasets were OR-Library (9), S&P 500 (3) and American Community Survey (2).
- Rising since 2026-10-23: “asymptotic distribution” (new, now #1), “functional data analysis” (new, now #2) and “asymptotic normality” (new, now #3).

## Papers per day

*Papers per publication date*

| Date | Papers |
|---|---:|
| 2026-10-01 | 16 |
| 2026-10-02 | 2 |
| 2026-10-03 | 1 |
| 2026-10-04 | 0 |
| 2026-10-05 | 4 |
| 2026-10-06 | 2 |
| 2026-10-07 | 5 |
| 2026-10-08 | 4 |
| 2026-10-09 | 12 |
| 2026-10-10 | 6 |
| 2026-10-11 | 3 |
| 2026-10-12 | 6 |
| 2026-10-13 | 7 |
| 2026-10-14 | 8 |
| 2026-10-15 | 7 |
| 2026-10-16 | 7 |
| 2026-10-17 | 4 |
| 2026-10-18 | 1 |
| 2026-10-19 | 1 |
| 2026-10-20 | 8 |
| 2026-10-21 | 1 |
| 2026-10-22 | 5 |
| 2026-10-23 | 6 |
| 2026-10-24 | 4 |
| 2026-10-25 | 3 |
| 2026-10-26 | 3 |
| 2026-10-27 | 2 |
| 2026-10-28 | 0 |
| 2026-10-29 | 0 |
| 2026-10-30 | 0 |

## Growing lately (Jul 2026–Sep 2026 vs Oct 2023–Jun 2026)

*Papers in Jul 2026–Sep 2026 beyond what the keyword's share in Oct 2023–Jun 2026 predicts*

| Keyword | Papers per month, Oct 23 – Oct 26* | Papers Jul 2026–Sep 2026 | vs. earlier share |
|---|---|---:|---:|
| spatial heterogeneity | 0, 4, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 2, 1, 1, 4, 6, 2 | 11 | +9 |
| identifiability | 1, 5, 2, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 2, 0, 0, 1, 0, 2, 2, 0, 1, 1, 0, 1, 0, 1, 2, 1, 3, 0, 1, 5, 0, 5, 1 | 10 | +7 |
| competing risks | 0, 1, 1, 2, 0, 1, 0, 2, 2, 0, 0, 0, 1, 2, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 1, 1, 1, 2, 1, 4, 1, 1, 1, 4, 3, 2, 0 | 9 | +6 |
| causal inference | 1, 1, 1, 1, 1, 0, 3, 0, 0, 0, 0, 0, 1, 0, 0, 0, 2, 0, 2, 2, 0, 2, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 3, 3, 2, 2 | 8 | +5 |
| structural breaks | 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 2, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 2, 2, 2, 1 | 6 | +4 |

More: https://scholar4ai.com/trends.md

## Most-cited papers of the past three years

*Most-cited papers published since 2023-10-30 (citations counted by OpenAlex)*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 87 | 2.7 | [Multiple-output quantile regression neural network](https://doi.org/10.1007/s11222-024-10408-6) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 2024-03-08 | Ruiting Hao, X. Yang |
| 2 | 75 | 2.6 | [Automatic cross-validation in structured models: Is it time to leave out leave-one-out?](https://doi.org/10.1016/j.spasta.2024.100843) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2024-06-12 | Aritz Adín, Elias Teixeira Krainski, Amanda Lenzi et al. |
| 3 | 69 | 2.0 | [Detecting and diagnosing prior and likelihood sensitivity with power-scaling](https://doi.org/10.1007/s11222-023-10366-5) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 2023-12-31 | Noa Kallioinen, Topi Paananen, Paul‐Christian Bürkner et al. |
| 4 | 40 | 1.6 | [On the consistency of supervised learning with missing values](https://doi.org/10.1007/s00362-024-01550-4) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | 2024-09-12 | Julie Josse, Jacob M. Chen, Nicolas Prost et al. |
| 5 | 34 | 1.0 | [Deep graphical regression for jointly moderate and extreme Australian wildfires](https://doi.org/10.1016/j.spasta.2024.100811) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2024-01-17 | Daniela Cisneros, Jordan Richards, Ashok Dahal et al. |

More: https://scholar4ai.com/rankings/cited.md

## Rising keywords (since 2026-10-23)

*Keywords that climbed the most since 2026-10-23*

| # | Keyword | Papers | vs 2026-10-23 |
|---:|---|---:|---:|
| 1 | asymptotic distribution | 9 | new |
| 2 | functional data analysis | 7 | new |
| 3 | asymptotic normality | 5 | new |
| 3 | dimensionality reduction | 5 | new |
| 3 | feature selection | 5 | new |
| 3 | functional data | 5 | new |
| 7 | consistency | 4 | new |
| 7 | goodness-of-fit tests | 4 | new |
| 7 | longitudinal data | 4 | new |
| 7 | nonparametric estimation | 4 | new |

## Top research keywords (top 20)

*Top 20 · 2026-10-01 – 2026-10-30 (30 days)*

| # | Keyword | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | asymptotic distribution | 9 | 1 |
| 2 | functional data analysis | 7 | 0 |
| 3 | asymptotic normality | 5 | 2 |
| 3 | dimensionality reduction | 5 | 0 |
| 3 | feature selection | 5 | 0 |
| 3 | functional data | 5 | 0 |
| 7 | consistency | 4 | 1 |
| 7 | goodness-of-fit tests | 4 | 0 |
| 7 | longitudinal data | 4 | 0 |
| 7 | nonparametric estimation | 4 | 0 |
| 7 | spatial dependence | 4 | 0 |
| 12 | Hilbert spaces | 3 | 0 |
| 12 | LASSO | 3 | 0 |
| 12 | convergence rate | 3 | 1 |
| 12 | copulas | 3 | 0 |
| 12 | differential privacy | 3 | 0 |
| 12 | functional time series | 3 | 0 |
| 12 | high-dimensional data | 3 | 0 |
| 12 | hyperparameter optimization | 3 | 0 |
| 12 | kernel density estimation | 3 | 0 |

## Top universities and research institutions (top 20)

*Top 20 · 2026-10-01 – 2026-10-30 (30 days)*

| # | Institution | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | Politecnico di Milano | 4 | 0 |
| 2 | Nanyang Technological University | 3 | 0 |
| 2 | Universidade de Santiago de Compostela | 3 | 0 |
| 2 | Charles University | 3 | 0 |
| 2 | Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement | 3 | 0 |
| 2 | University of Southampton | 3 | 1 |
| 2 | University of Turin | 3 | 0 |
| 8 | Università Cattolica del Sacro Cuore | 2 | 1 |
| 8 | University of Rome Tor Vergata | 2 | 1 |
| 8 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 2 | 0 |
| 8 | University of Alberta | 2 | 0 |
| 8 | [National University of Singapore](https://scholar4ai.com/institutions/national-university-of-singapore.md) | 2 | 0 |
| 8 | Universidad de Granada | 2 | 0 |
| 8 | Donghua University | 2 | 0 |
| 8 | University of Toronto | 2 | 0 |
| 8 | Jilin University | 2 | 0 |
| 8 | TU Dortmund University | 2 | 0 |
| 8 | Nankai University | 2 | 0 |
| 8 | University of Michigan | 2 | 0 |
| 8 | Southern University of Science and Technology | 2 | 0 |

## Top institution web domains (top 20)

*Top 20 · 2026-10-01 – 2026-10-30 (30 days)*

| # | Web domain | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | polimi.it | 4 | 0 |
| 2 | cuni.cz | 3 | 0 |
| 2 | inrae.fr | 3 | 0 |
| 2 | ntu.edu.sg | 3 | 0 |
| 2 | southampton.ac.uk | 3 | 1 |
| 2 | unito.it | 3 | 0 |
| 2 | usc.gal | 3 | 0 |
| 8 | [cnrs.fr](https://scholar4ai.com/domains/cnrs.fr.md) | 2 | 0 |
| 8 | dhu.edu.cn | 2 | 0 |
| 8 | ed.ac.uk | 2 | 0 |
| 8 | gla.ac.uk | 2 | 0 |
| 8 | hu-berlin.de | 2 | 0 |
| 8 | isical.ac.in | 2 | 0 |
| 8 | jlu.edu.cn | 2 | 0 |
| 8 | kaust.edu.sa | 2 | 0 |
| 8 | lancaster.ac.uk | 2 | 0 |
| 8 | maharajas.ac.in | 2 | 0 |
| 8 | mq.edu.au | 2 | 0 |
| 8 | nankai.edu.cn | 2 | 0 |
| 8 | [nus.edu.sg](https://scholar4ai.com/domains/nus.edu.sg.md) | 2 | 0 |

## Top countries (top 20)

*Top 20 · 2026-10-01 – 2026-10-30 (30 days)*

| # | Country | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | China (CN) | 20 | 3 |
| 2 | United Kingdom (GB) | 16 | 1 |
| 2 | United States (US) | 16 | 1 |
| 4 | Italy (IT) | 13 | 2 |
| 5 | Canada (CA) | 11 | 0 |
| 5 | Spain (ES) | 11 | 0 |
| 7 | Germany (DE) | 8 | 1 |
| 7 | Japan (JP) | 8 | 4 |
| 9 | India (IN) | 6 | 0 |
| 10 | France (FR) | 5 | 0 |
| 10 | Singapore (SG) | 5 | 0 |
| 12 | Australia (AU) | 4 | 0 |
| 12 | Czechia (CZ) | 4 | 0 |
| 12 | Sweden (SE) | 4 | 0 |
| 15 | Saudi Arabia (SA) | 3 | 0 |
| 15 | Turkey (TR) | 3 | 0 |
| 17 | Finland (FI) | 2 | 0 |
| 17 | Hong Kong (HK) | 2 | 1 |
| 17 | Iran (IR) | 2 | 0 |
| 17 | South Korea (KR) | 2 | 0 |

## Research fields (top 7)

*Top 7 · 2026-10-01 – 2026-10-30 (30 days)*

| # | Field | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | Mathematics | 80 | 7 |
| 2 | Economics, Econometrics and Finance | 23 | 2 |
| 3 | Computer Science | 13 | 1 |
| 4 | Decision Sciences | 7 | 1 |
| 5 | Biochemistry, Genetics and Molecular Biology | 1 | 0 |
| 5 | Engineering | 1 | 1 |
| 5 | Neuroscience | 1 | 0 |

## Papers per journal (top 16)

*Top 16 · 2026-10-01 – 2026-10-30 (30 days)*

| # | Journal | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | [Journal of Multivariate Analysis](https://scholar4ai.com/journals/journal-of-multivariate-analysis.md) | 23 | 0 |
| 2 | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 21 | 2 |
| 3 | [Statistics & Probability Letters](https://scholar4ai.com/journals/statistics-probability-letters.md) | 15 | 3 |
| 4 | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 9 | 1 |
| 4 | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 9 | 0 |
| 6 | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 7 | 0 |
| 6 | [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | 7 | 1 |
| 6 | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | 7 | 1 |
| 9 | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 5 | 2 |
| 9 | [Metrika](https://scholar4ai.com/journals/metrika.md) | 5 | 0 |
| 11 | [Annals of the Institute of Statistical Mathematics](https://scholar4ai.com/journals/annals-of-the-institute-of-statistical-mathematics.md) | 4 | 0 |
| 11 | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 4 | 0 |
| 11 | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 4 | 0 |
| 14 | [Econometrics and Statistics](https://scholar4ai.com/journals/econometrics-and-statistics.md) | 3 | 0 |
| 14 | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 3 | 1 |
| 16 | [Statistical Methods & Applications](https://scholar4ai.com/journals/statistical-methods-applications.md) | 2 | 1 |

## Most-used equations and models (top 10)

*Top 10 · 2026-10-01 – 2026-10-30 (30 days)*

| # | Equation or model | Formula | Papers |
|---:|---|---|---:|
| 1 | [Principal component analysis (PCA)](https://scholar4ai.com/equations/principal-component-analysis-pca.md) | $\max_{\lVert w \rVert = 1}\ w^\top \Sigma\, w$ | 11 |
| 2 | [Kullback-Leibler divergence](https://scholar4ai.com/equations/kullback-leibler-divergence.md) | $D_{\mathrm{KL}}(P \parallel Q) = \sum_x P(x) \log \frac{P(x)}{Q(x)}$ | 5 |
| 3 | [Gradient boosting (XGBoost)](https://scholar4ai.com/equations/gradient-boosting-xgboost.md) | $\mathcal{L} = \sum_i l(y_i, \hat y_i) + \sum_k \Omega(f_k),\quad \Omega(f) = \gamma T + \tfrac{1}{2}\lambda \lVert w \rVert^2$ | 4 |
| 3 | [LASSO](https://scholar4ai.com/equations/lasso.md) | $\hat\beta = \operatorname*{arg\,min}_{\beta}\ \lVert y - X\beta \rVert_2^2 + \lambda \lVert \beta \rVert_1$ | 4 |
| 3 | [Quantile regression](https://scholar4ai.com/equations/quantile-regression.md) | $\hat\beta_\tau = \operatorname*{arg\,min}_{\beta} \sum_{i} \rho_\tau(y_i - x_i^\top\beta),\quad \rho_\tau(u) = u\,(\tau - \mathbf{1}\{u < 0\})$ | 4 |
| 6 | [Bayes' theorem](https://scholar4ai.com/equations/bayes-theorem.md) | $P(A \mid B) = \frac{P(B \mid A)\, P(A)}{P(B)}$ | 3 |
| 6 | [Random forest](https://scholar4ai.com/equations/random-forest.md) | $\hat f(x) = \frac{1}{B}\sum_{b=1}^{B} T_b(x)$ | 3 |
| 8 | [k-means clustering](https://scholar4ai.com/equations/k-means-clustering.md) | $\min_{C_1, \dots, C_k} \sum_{j=1}^{k} \sum_{x \in C_j} \lVert x - \mu_j \rVert^2$ | 2 |
| 8 | [Linear and integer programming](https://scholar4ai.com/equations/linear-and-integer-programming.md) | $\min_{x}\ c^\top x\ \ \text{s.t.}\ \ A x \le b,\ x \ge 0,\ x_j \in \mathbb{Z}\ (j \in I)$ | 2 |
| 8 | [Logistic regression (logit)](https://scholar4ai.com/equations/logistic-regression-logit.md) | $\Pr(y = 1 \mid x) = \frac{1}{1 + e^{-x^\top\beta}}$ | 2 |

## Most-used data (top 10)

*Top 10 · 2026-10-01 – 2026-10-30 (30 days)*

| # | Data category | Most-mentioned datasets | Papers |
|---:|---|---|---:|
| 1 | [Optimization benchmark instances](https://scholar4ai.com/datasets/optimization-benchmark-instances.md) | OR-Library (9) | 9 |
| 2 | [Stock market indices](https://scholar4ai.com/datasets/stock-market-indices.md) | S&P 500 (3), CSI 300 / Shanghai Composite (1) | 4 |
| 3 | [Medical and clinical datasets](https://scholar4ai.com/datasets/medical-and-clinical-datasets.md) | UK Biobank (2), ADNI (1) | 3 |
| 4 | [Satellite and geospatial data](https://scholar4ai.com/datasets/satellite-and-geospatial-data.md) | Sentinel / Copernicus (1), MODIS (1) | 2 |
| 4 | [US household and labour surveys](https://scholar4ai.com/datasets/us-household-and-labour-surveys.md) | American Community Survey (2) | 2 |
| 6 | [China statistical yearbooks and regional indices](https://scholar4ai.com/datasets/china-statistical-yearbooks-and-regional-indices.md) | Marketization index (Fan Gang) (1) | 1 |
| 6 | [Credit scoring and lending data](https://scholar4ai.com/datasets/credit-scoring-and-lending-data.md) | German Credit (UCI Statlog) (1) | 1 |
| 6 | [ESG and sustainability ratings](https://scholar4ai.com/datasets/esg-and-sustainability-ratings.md) | MSCI ESG / KLD (1) | 1 |
| 6 | [International trade and input-output data](https://scholar4ai.com/datasets/international-trade-and-input-output-data.md) | WITS / TRAINS tariff data (1) | 1 |
| 6 | [Mutual fund and hedge fund data](https://scholar4ai.com/datasets/mutual-fund-and-hedge-fund-data.md) | Lipper / TASS (1) | 1 |


## Latest statistics papers

*Latest statistics papers*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-27 | [Exact Moments of Two-Sample Rank Statistics: Improving the Approximate Distribution and Applications to Lepage-Type Tests](https://doi.org/10.1007/s42519-026-00649-1) | [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | Hikaru Yamaguchi, Hidetoshi Murakami, Markus Neuhäuser | Tokyo University of Science; Koblenz University of Applied Sciences |
| 2026-10-27 | [A Bayes-motivated quadratic-form test for high-dimensional mean testing](https://doi.org/10.1007/s00180-026-01816-5) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Daojiang He, Shicheng Xu, Jing Zhou |  |
| 2026-10-26 | [A selective overview of population size estimation in humanitarian upheavals](https://doi.org/10.1007/s10260-026-00887-4) | [Statistical Methods & Applications](https://scholar4ai.com/journals/statistical-methods-applications.md) | Alessio Farcomeni, Rosario Barone | University of Rome Tor Vergata; Università Cattolica del Sacro Cuore |
| 2026-10-26 | [Quasi-BIC of SEM for jump-diffusion processes based on high-frequency data](https://doi.org/10.1007/s42081-026-00378-6) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | Shogo Kusano, Masayuki Uchida | Kumamoto University; Japan Science and Technology Agency; Center for Mathematical Modeling and Data Science, The University of Osaka; … |
| 2026-10-26 | [Local increment inference for time-inhomogeneous drift in Gaussian processes](https://doi.org/10.1007/s42081-026-00383-9) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | Yasutaka Shimizu | Waseda University |
| 2026-10-25 | [Matching-based estimation of causal quantile exposure response functions for continuous treatments](https://doi.org/10.1007/s11222-026-11016-2) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Luca Merlo, Francesca Dominici, Lea Petrella et al. | Link Campus University; Harvard University; Sapienza University of Rome; … |
| 2026-10-25 | [Sparse linear regression: sequential convex relaxation and support recovery](https://doi.org/10.1007/s11222-026-10987-6) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Shujun Bi, Yonghua Yang, PAN SHAO-HUA | South China University of Technology |
| 2026-10-25 | [Strong convergence of Euler–Maruyama schemes for additive fractional SDEs with Lipschitz drift](https://doi.org/10.1016/j.spl.2026.110998) | [Statistics & Probability Letters](https://scholar4ai.com/journals/statistics-probability-letters.md) | Tsukasa Moritoki | Okayama University |
| 2026-10-24 | [Parity-odd polyspectra of spatial point processes](https://doi.org/10.1016/j.spl.2026.110996) | [Statistics & Probability Letters](https://scholar4ai.com/journals/statistics-probability-letters.md) | Daniel E. Clark | University of Southampton |
| 2026-10-24 | [Quantile-based empirical likelihood for ROC curves](https://doi.org/10.1016/j.spl.2026.110997) | [Statistics & Probability Letters](https://scholar4ai.com/journals/statistics-probability-letters.md) | Pengfei Liu, Yiming Liu, Zhi Liu et al. | University of Macau; Lingnan University |
| 2026-10-24 | [A construction method for space-filling orthogonal Latin hypercube designs](https://doi.org/10.1016/j.jspi.2026.106485) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | Wenlong Li | Beijing Jiaotong University |
| 2026-10-24 | [Transfer learning in regression with outliers](https://doi.org/10.1007/s00362-026-01919-7) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Bingbing Wang, Jiaqi Wang, Yu Tang | Soochow University |
| 2026-10-23 | [Variable selection and regularization path comparison for binary response model](https://doi.org/10.1007/s00180-026-01818-3) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Merve Kandemir Çetinkaya | Ostim Technical University |
| 2026-10-23 | [Large deviations of large uniform spacings](https://doi.org/10.1016/j.spl.2026.110999) | [Statistics & Probability Letters](https://scholar4ai.com/journals/statistics-probability-letters.md) | Mainza Mbokoma, Xiangfeng Yang | Linköping University |
| 2026-10-23 | [Generalized and scalable deep Gaussian process emulation](https://doi.org/10.1016/j.csda.2026.108485) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Deyu Ming, Daniel Williamson | University College London; University of Exeter |

## Questions this page answers

### What are the most common topics in recent statistics research?

In the last 30 days, the most frequent OpenAlex keywords in papers from the tracked statistics journals were “asymptotic distribution” (9), “functional data analysis” (7), “asymptotic normality” (5), “dimensionality reduction” (5) and “feature selection” (5).

### Which universities and institutions publish the most statistics research?

In the last 30 days, the institutions with the most papers in the tracked statistics journals were Politecnico di Milano (4), Nanyang Technological University (3), Universidade de Santiago de Compostela (3), Charles University (3) and Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (3).

### Which countries publish the most statistics research?

Counting papers with at least one author at an institution in the country, the leaders over the last 30 days were China (20), United Kingdom (16), United States (16), Italy (13) and Canada (11).

### Which equations and models do recent statistics research papers use most?

Counting papers that mention them by name in the title, abstract, keywords or full text, the most frequent in the tracked statistics journals over the last 30 days were Principal component analysis (PCA) (11), Kullback-Leibler divergence (5), Gradient boosting (XGBoost) (4), LASSO (4) and Quantile regression (4).

### What data do recent statistics research papers use?

Counting papers that mention a dataset by name, the kinds of data used most over the last 30 days were Optimization benchmark instances (9), Stock market indices (4), Medical and clinical datasets (3), Satellite and geospatial data (2) and US household and labour surveys (2); the most-mentioned datasets were OR-Library (9), S&P 500 (3), American Community Survey (2), UK Biobank (2) and ADNI (1).

### Which statistics research topics are rising?

Compared with the ranking on 2026-10-23, the keywords that climbed the most were “asymptotic distribution” (new, now #1), “functional data analysis” (new, now #2), “asymptotic normality” (new, now #3), “dimensionality reduction” (new, now #3) and “feature selection” (new, now #3).

### How current is this data?

It is rebuilt from OpenAlex 4 times a day (00:00, 06:00, 12:00, 18:00, UTC+09:00); the last update was 2026-10-30 12:46 UTC+09:00. OpenAlex usually indexes new papers within a few days of publication.

## Cite this page

Scholar4AI. (2026). Statistics research rankings. Journal Research Rankings. Retrieved October 30, 2026, from https://scholar4ai.com/categories/statistics

```bibtex
@misc{scholar4ai-categories-statistics,
  author = {{Scholar4AI}},
  title = {Statistics research rankings},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/categories/statistics}},
  urldate = {2026-10-30},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).