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Japanese Journal of Statistics and Data Science

Springer Science and Business Media B.V. · Germany · Est. 2018

ISSN2520-8764
SJR Q3✓ WOS ESCI✓ Scopus / SJR
68
/ 100
Established
PubScope credibility score from verifiable indexing & ethics signals
Score Breakdown
◆ WoS ESCI56
✓ Corroboration (2 more)+12
Total68
Level data: Norwegian Register (HK-dir), NLOD 2.0. · Third-party records · how this is calculated · Report an error →
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
190
days submission → published
measured · last 18 articles · accept 164d
Q3
SJR Rank
Top 75% in field
Impact Factor & Quartile · Web of Science (JCR)

✓ Indexed in the Web of Science Core Collection (ESCI) — Clarivate publishes an official Journal Impact Factor and JCR quartile for this journal.

See the official Impact Factor & quartile on the journal’s page ↗

The Impact Factor & JCR quartile are licensed by Clarivate — we link you to the official source instead of reprinting a number that can go out of date. Open metrics below: SCImago Q3. Source: Clarivate Journal Citation Reports.

SJR Scorei
0.296
H-Indexi
14
CiteScore
View ↗
Scopus metric · on the journal’s page
SNIPi
1.111
Total Worksi
338
Total Citationsi
1,171
2yr Mean Citednessi
0.68
Open Impact Factor alternative

Aims & Scope

Japanese Journal of Statistics and Data Science is an international forum publishing original articles in statistical theories and diverse fields related to data science. Provides coverage spanning all aspects of the discipline of statistics. Successor of the Journal of the Japan Statistical Society and the Journal of the Japanese Society of Computational Statistics. An official journal of the Japanese Federation of Statistical Science Associations. Combines traditional statistical science and relatively new data science. Promotes and extends the use of statistics in science.

General Information

Country / RegionGermany
Primary LanguageEnglish
1st Year Published2018
FrequencyTwo Issues Per Year
StatusActive (last: 2026)
Total Publications338
Publisher OrgSpringer Science+Business Media
Visit Journal Website

Submission Info

Peer Review—
Review Time—
Acceptance Rate—
OA License—
OA Rate—

Ethics & Quality

COPE Member✗ No
OASPA Member✗ No
Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

6/12 · 50%
✅
Do you know the journal / publisher?
Springer Science and Business Media B.V.
✅
Does the journal have a website?
✓ Linked
✅
Is the ISSN verified?
2520-8764
✅
Indexed in a trusted database?
WoS, Scopus
❌
Peer review process documented?
N/A
❌
Follows ethical publishing standards (COPE)?
N/A
❌
APC fees clearly disclosed?
N/A
✅
Not on predatory/blacklists?
✓ Clean
❌
Long-term digital preservation?
N/A
❌
Plagiarism detection in place?
N/A
❌
Listed in DOAJ (verified OA)?
N/A
✅
Primary language documented?
English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Publication & Citation Trend

Articles published
Citations received
39
182
2019
31
262
2020
41
220
2021
44
186
2022
46
141
2023
53
56
2024
38
28
2025
36
2
2026

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Computational Theory and MathematicsQ3
Statistics and ProbabilityQ3

Subject Classification

Web of Science Categories

Statistics & Probability

Scopus Categories

Computational Theory and MathematicsStatistics and Probability

Research Topics (OpenAlex)

Statistical Methods and InferenceStatistical Methods and Bayesian InferenceStatistical Distribution Estimation and ApplicationsAdvanced Statistical Methods and ModelsBayesian Methods and Mixture ModelsFinancial Risk and Volatility ModelingProbabilistic and Robust Engineering DesignSpatial and Panel Data AnalysisProbability and Risk ModelsStochastic processes and financial applications

Frequently asked questions about Japanese Journal of Statistics and Data Science

Is Japanese Journal of Statistics and Data Science a predatory journal?

PubScope has no integrity flags on record for Japanese Journal of Statistics and Data Science: it is indexed in Web of Science, Scopus, and is not on DOAJ's withdrawn list. Its PubScope Trust Score is 68/100. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.

What is the impact factor of Japanese Journal of Statistics and Data Science?

Japanese Journal of Statistics and Data Science is indexed in the Web of Science Core Collection, so Clarivate publishes an official Journal Impact Factor for it (since the 2023 Journal Citation Reports, every Core Collection journal — including Arts & Humanities and Emerging Sources titles — receives one). PubScope links to Clarivate's official source rather than reprinting the number, which can be out of date. Its open 2-year mean citedness is 0.68.

Is Japanese Journal of Statistics and Data Science indexed in Scopus and Web of Science?

Japanese Journal of Statistics and Data Science is indexed in Web of Science, Scopus.

What is the aims and scope of Japanese Journal of Statistics and Data Science?

Japanese Journal of Statistics and Data Science is an international forum publishing original articles in statistical theories and diverse fields related to data science. Provides coverage spanning all aspects of the discipline of statistics. Successor of the Journal of the Japan Statistical Society and the Journal of the Japanese Society of Computational Statistics. An official journal of the Japanese Federation of Statistical Science Associations. Combines traditional statistical science and relatively new data science. Promotes and extends the use of statistics in science.

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Data updated: 2026-05-22 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref