---
title: "Japanese Journal of Statistics and Data Science"
description: "Japanese Journal of Statistics and Data Science published 5 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #184 of 392 journals."
url: https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science
markdown_url: https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Japanese Journal of Statistics and Data Science published 5 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #184 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)
---

# Japanese Journal of Statistics and Data Science

- 2 papers in the last 7 days
- category: Statistics
- publisher: Springer Science+Business Media
- ISSN 2520-8756

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

## Key findings

- Japanese Journal of Statistics and Data Science published 5 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #184 of 392 journals.
- Leading institutions: Japan Science and Technology Agency (1), Center for Mathematical Modeling and Data Science, The University of Osaka (1) and The University of Osaka (1).
- Countries: Japan (2), United Kingdom (1) and India (1).
- From Oct 2023 to Sep 2026, Japanese Journal of Statistics and Data Science published 155 papers (4 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “maximum likelihood estimation” (12), “shrinkage estimation” (10) and “asymptotic properties” (9).
- Its most-cited paper of the period is “A new bivariate survival model with a cured fraction: a mixed Poisson frailty–copula approach” (2024-02-10), with 8 citations.
- Since October 2016, its most-cited paper is “Statistical data integration in survey sampling: a review” (2020-10-15), with 80 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 |
|---:|---:|---:|---:|
| 53 | 43 | 59 | 155 |

*Most frequent keywords, Oct 2023 to Sep 2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | maximum likelihood estimation | 12 |
| 2 | shrinkage estimation | 10 |
| 3 | asymptotic properties | 9 |
| 4 | parameter estimation | 9 |
| 5 | consistency | 8 |
| 6 | Bayesian estimation | 7 |
| 7 | feature selection | 5 |
| 8 | high-dimensional data | 5 |
| 9 | artificial neural networks | 4 |
| 10 | asymptotic confidence intervals | 4 |

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

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 8 | 0.2 | [A new bivariate survival model with a cured fraction: a mixed Poisson frailty–copula approach](https://doi.org/10.1007/s42081-023-00240-z) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2024-02-10 | Marziye Rouzbahani, Mohammad Reza Akhoond, Rahim Chinipardaz |
| 2 | 8 | 0.3 | [A user guide of CART and random forests with applications in FinTech and InsurTech](https://doi.org/10.1007/s42081-024-00258-x) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2024-08-19 | Yongzhao Chen, Ka Chun Cheung, Ross Zhengyao Sun et al. |
| 3 | 7 | 0.2 | [Sparse inference of structural equation modeling with latent variables for diffusion processes](https://doi.org/10.1007/s42081-023-00230-1) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2023-12-26 | Shogo Kusano, Masayuki Uchida |
| 4 | 6 | 0.2 | [Stein-rule M-estimation in sparse partially linear models](https://doi.org/10.1007/s42081-023-00231-0) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2023-12-23 | Enayetur Raheem, Syed Ejaz Ahmed, Shuangzhe Liu |
| 5 | 5 | 0.1 | [Variable selection through adaptive elastic net for proportional odds model](https://doi.org/10.1007/s42081-023-00235-w) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2024-01-19 | Chunxiang Wang, Nan Li, Hongbin Diao et al. |

## Most-cited since October 2016

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

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 80 | 1.1 | [Statistical data integration in survey sampling: a review](https://doi.org/10.1007/s42081-020-00093-w) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2020-10-15 | Shu Yang, Jae Kwang Kim |
| 2 | 52 | 0.5 | [Data science vs. statistics: two cultures?](https://doi.org/10.1007/s42081-018-0009-3) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2018-05-14 | Iain D. Carmichael, James Stephen Marron |
| 3 | 49 | 0.7 | [Outliers in official statistics](https://doi.org/10.1007/s42081-020-00091-y) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2020-10-24 | Kazumi Wada |
| 4 | 41 | 0.8 | [Uniform consistency and uniform in number of neighbors consistency for nonparametric regression estimates and conditional U-statistics involving functional data](https://doi.org/10.1007/s42081-022-00161-3) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2022-05-28 | Salim Bouzebda, Amel Nezzal |
| 5 | 31 | 0.7 | [General tests of conditional independence based on empirical processes indexed by functions](https://doi.org/10.1007/s42081-023-00193-3) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2023-02-25 | Salim Bouzebda |
| 6 | 30 | 0.4 | [Small area estimation with mixed models: a review](https://doi.org/10.1007/s42081-020-00076-x) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2020-04-01 | Shonosuke Sugasawa, Tatsuya Kubokawa |
| 7 | 29 | 0.6 | [R package DCchoice for dichotomous choice contingent valuation: a contribution to open scientific software and its impact](https://doi.org/10.1007/s42081-022-00171-1) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2022-07-26 | Hideo Aizaki, Tomoaki Nakatani, Kazuo Sato et al. |
| 8 | 25 | 0.3 | [A copula-based Markov chain model for serially dependent event times with a dependent terminal event](https://doi.org/10.1007/s42081-020-00087-8) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2020-09-22 | Xin-Wei Huang, Weijing Wang, Takeshi Emura |
| 9 | 24 | 0.4 | [Effective estimation algorithm for parameters of multivariate Farlie–Gumbel–Morgenstern copula](https://doi.org/10.1007/s42081-021-00118-y) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2021-04-19 | Shuhei Ota, Mitsuhiro Kimura |
| 10 | 22 | 0.3 | [Likelihood analysis and stochastic EM algorithm for left truncated right censored data and associated model selection from the Lehmann family of life distributions](https://doi.org/10.1007/s42081-021-00115-1) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | 2021-03-21 | Debanjan Mitra, Debasis Kundu, N. Balakrishnan |

*Papers, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 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 |
| 2026-10-20 | [Sequential Monte Carlo sampling with integrator snippets](https://doi.org/10.1007/s42081-026-00381-x) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | Christophe Andrieu, Mauro Camara Escudero, Chang Zhang | University of Bristol |
| 2026-10-11 | [Quantile-based nonparametric estimation of Matusita’s measure](https://doi.org/10.1007/s42081-026-00379-5) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | Angel Mathew, Chinu Joseph | Maharaja's College, Ernakulam |
| 2026-10-09 | [Dynamic hazard models for multipath changepoint problems: theory, inference, and application to cognitive decline](https://doi.org/10.1007/s42081-026-00377-7) | [Japanese Journal of Statistics and Data Science](https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science.md) | Masoud Majidizadeh | Shahid Beheshti University |

## Cite this page

Scholar4AI. (2026). Japanese Journal of Statistics and Data Science. Journal Research Rankings. Retrieved October 30, 2026, from https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science

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@misc{scholar4ai-journals-japanese-journal-of-statistics-and-data-science,
  author = {{Scholar4AI}},
  title = {Japanese Journal of Statistics and Data Science},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/japanese-journal-of-statistics-and-data-science}},
  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/).