---
title: "Journal of Statistical Planning and Inference"
description: "Journal of Statistical Planning and Inference published 3 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #255 of 392 journals."
url: https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference
markdown_url: https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Journal of Statistical Planning and Inference published 3 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #255 of 392 journals."
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)
---

# Journal of Statistical Planning and Inference

- 1 papers in the last 7 days
- category: Statistics
- publisher: Elsevier BV
- ISSN 0378-3758

Back to the ranking: https://scholar4ai.com/rankings/journals.md

## Key findings

- Journal of Statistical Planning and Inference published 3 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #255 of 392 journals.
- Leading institutions: Beijing Jiaotong University (1).
- Countries: China (1).
- From Oct 2023 to Sep 2026, Journal of Statistical Planning and Inference published 246 papers (7 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “convergence rate” (19), “asymptotic normality” (17) and “asymptotic distribution” (16).
- Its most-cited paper of the period is “Statistical theory for image classification using deep convolutional neural network with cross-entropy loss under the hierarchical max-pooling model” (2024-06-05), with 24 citations.
- Since October 2016, its most-cited paper is “Optimality of training/test size and resampling effectiveness in cross-validation” (2018-08-04), with 86 citations.

## The last 36 months

*Papers by publication date, Oct 2023 to Sep 2026*

| Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---:|---:|---:|---:|
| 95 | 69 | 82 | 246 |

*Most frequent keywords, Oct 2023 to Sep 2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | convergence rate | 19 |
| 2 | asymptotic normality | 17 |
| 3 | asymptotic distribution | 16 |
| 4 | consistency | 15 |
| 5 | maximum likelihood estimation | 12 |
| 6 | feature selection | 10 |
| 7 | asymptotic properties | 8 |
| 8 | computer experiments | 8 |
| 9 | design construction | 8 |
| 10 | finite sample properties | 8 |

*Most-cited papers published Oct 2023 to Sep 2026*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 24 | 0.8 | [Statistical theory for image classification using deep convolutional neural network with cross-entropy loss under the hierarchical max-pooling model](https://doi.org/10.1016/j.jspi.2024.106188) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2024-06-05 | Michael Köhler, Sophie Langer |
| 2 | 13 | 0.4 | [Generic E-variables for exact sequential k -sample tests that allow for optional stopping](https://doi.org/10.1016/j.jspi.2023.106116) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2023-10-26 | Rosanne Turner, Alexander Ly, Peter Grünwald |
| 3 | 12 | 0.4 | [Toward improved inference for Krippendorff’s Alpha agreement coefficient](https://doi.org/10.1016/j.jspi.2024.106170) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2024-04-05 | John Hughes |
| 4 | 11 | 0.3 | [A new First-Order mixture integer-valued threshold autoregressive process based on binomial thinning and negative binomial thinning](https://doi.org/10.1016/j.jspi.2023.106143) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2023-12-26 | Danshu Sheng, Dehui Wang, Liuquan Sun |
| 5 | 10 | 0.3 | [Layer sparsity in neural networks](https://doi.org/10.1016/j.jspi.2024.106195) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2024-06-12 | Mohamed Hebiri, Johannes Lederer, Mahsa Taheri |

## Most-cited since October 2016

*The journal's most-cited papers published since October 2016*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 86 | 0.9 | [Optimality of training/test size and resampling effectiveness in cross-validation](https://doi.org/10.1016/j.jspi.2018.07.005) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2018-08-04 | Georgios Afendras, Marianthi Markatou |
| 2 | 57 | 0.5 | [Multivariate nonparametric estimation of the Pickands dependence function using Bernstein polynomials](https://doi.org/10.1016/j.jspi.2016.10.004) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2016-11-03 | G Marcon, Simone A. Padoan, Philippe Naveau et al. |
| 3 | 54 | 0.6 | [Regression imputation in the functional linear model with missing values in the response](https://doi.org/10.1016/j.jspi.2018.12.004) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2018-12-21 | Christophe Crambes, Yousri Henchiri |
| 4 | 50 | 0.4 | [On the Kozachenko–Leonenko entropy estimator](https://doi.org/10.1016/j.jspi.2017.01.004) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2017-01-30 | Sylvain Delattre, Nicolas Fournier |
| 5 | 47 | 0.4 | [Prediction with confidence—A general framework for predictive inference](https://doi.org/10.1016/j.jspi.2017.09.012) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2017-10-14 | Jieli Shen, Regina Y. Liu, Minge Xie |
| 6 | 44 | 0.6 | [Information-based optimal subdata selection for big data logistic regression](https://doi.org/10.1016/j.jspi.2020.03.004) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2020-04-20 | Qianshun Cheng, HaiYing Wang, Min Yang |
| 7 | 34 | 0.3 | [High-dimensional general linear hypothesis testing under heteroscedasticity](https://doi.org/10.1016/j.jspi.2017.03.005) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2017-03-18 | Bu Zhou, Jia Guo, Jin‐Ting Zhang |
| 8 | 31 | 0.3 | [Beta autoregressive fractionally integrated moving average models](https://doi.org/10.1016/j.jspi.2018.10.001) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2018-10-10 | Guilherme Pumi A, Márcio Valk, Cleber Bisognin et al. |
| 9 | 31 | 0.5 | [Normalized power prior Bayesian analysis](https://doi.org/10.1016/j.jspi.2021.05.005) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2021-05-19 | Keying Ye B, Zifei Han, Yuyan Duan et al. |
| 10 | 30 | 0.3 | [Support vector machine and its bias correction in high-dimension, low-sample-size settings](https://doi.org/10.1016/j.jspi.2017.05.005) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 2017-05-30 | Yugo Nakayama, Kazuyoshi Yata, Makoto Aoshima |

*Papers, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 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 |
| 2026-10-13 | [Editorial Board](https://doi.org/10.1016/s0378-3758(26)00106-0) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) |  |  |
| 2026-10-01 | [Differentially private scale testing via rank transformations and percentile modifications](https://doi.org/10.1016/j.jspi.2026.106484) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | Joshua Levine, Kelly Ramsay |  |

## Cite this page

Scholar4AI. (2026). Journal of Statistical Planning and Inference. Journal Research Rankings. Retrieved October 30, 2026, from https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference

```bibtex
@misc{scholar4ai-journals-journal-of-statistical-planning-and-inference,
  author = {{Scholar4AI}},
  title = {Journal of Statistical Planning and Inference},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference}},
  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/).