Homeβ€ΊSearchβ€ΊStatistics and Risk Modeling

Statistics and Risk Modeling

Walter de Gruyter GmbH Β· Germany Β· Est. 1982

ISSN2193-1402eISSN2196-7040
SJR Q3βœ“ WOS ESCIβœ“ Scopus / SJR
68
/ 100
Established
PubScope credibility score from verifiable indexing & ethics signals
Score Breakdown
β—† WoS ESCI56
βœ“ Corroboration (2 more)+12
Total68
Level data: Norwegian Register (HK-dir), NLOD 2.0. Β· Third-party records Β· how this is calculated Β· Report an error β†’
⚑ Speed vs Prestige
How does this journal balance review speed with impact level?
Publication speed: not measurable
publisher doesn’t disclose per-article submission dates β€” we never estimate
Q3
SJR Rank
Top 75% in field
Impact Factor & Quartile Β· Web of Science (JCR)

βœ“ Indexed in the Web of Science Core Collection (ESCI) β€” Clarivate publishes an official Journal Impact Factor and JCR quartile for this journal.

See the official Impact Factor & quartile on the journal’s page β†—

The Impact Factor & JCR quartile are licensed by Clarivate β€” we link you to the official source instead of reprinting a number that can go out of date.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
0.239
H-Indexi
33
CiteScore
ViewΒ β†—
Scopus metric Β· on the journal’s page
SNIPi
1.345
Total Worksi
933
Total Citationsi
5,857
2yr Mean Citednessi
0.07
Open Impact Factor alternative

Aims & Scope

Statistics & Risk Modeling (STRM) aims to cover modern methods in statistics and probabilistic modeling, with a strong emphasis on machine learning, particularly statistical learning. The journal focuses on applications in finance, insurance, and related fields, addressing key aspects of modeling and risk management. STRM welcomes contributions that explore the uncertainty, risk, and regulation associated with artificial intelligence, as well as stochastic processes and other relevant statistical methods. We are particularly interested in papers that delve into the mathematical foundations of AI, its applications in statistical modeling, and its role in enhancing risk management strategies.

General Information

Country / RegionGermany
Primary LanguageEnglish
1st Year Published1982
Frequency4 issues per year
StatusActive (last: 2026)
Total Publications933
Publisher OrgR. Oldenbourg Verlag
Visit Journal Website

Submission Info

Peer Reviewβ€”
Review Timeβ€”
Acceptance Rate9.1%
OA Licenseβ€”
OA Rateβ€”

Ethics & Quality

COPE Memberβœ— No
OASPA Memberβœ— No
Not on Predatory Listsβœ“ Yes
Plagiarism Detectionβœ“ Yes

Think.Check.Submit Compliance

7/12 Β· 58%
βœ…
Do you know the journal / publisher?
Walter de Gruyter GmbH
βœ…
Does the journal have a website?
βœ“ Linked
βœ…
Is the ISSN verified?
2193-1402 / 2196-7040
βœ…
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
βœ…
Not on predatory/blacklists?
βœ“ Clean
❌
Long-term digital preservation?
N/A
βœ…
Plagiarism detection in place?
Yes
❌
Listed in DOAJ (verified OA)?
N/A
βœ…
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
5
19
2019
7
16
2020
7
32
2021
9
19
2022
6
12
2023
4
1
2024
7
1
2025
7
0
2026

Source: OpenAlex Β· Each year’s green bar = citations earned by that year’s papers, counted to date β€” 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 β€” its quartile can differ by discipline.

Modeling and SimulationQ3
Statistics and ProbabilityQ4
Statistics, Probability and UncertaintyQ4

Subject Classification

Web of Science Categories

Statistics & Probability

Scopus Categories

Statistics, Probability and UncertaintyStatistics and ProbabilityModeling and Simulation

Research Topics (OpenAlex)

Human auditory perception and evaluationAdvanced Statistical Methods and ModelsStochastic processes and financial applicationsEducational Robotics and EngineeringEarthquake and Disaster Impact StudiesStatistical Methods and InferenceRisk and Portfolio OptimizationProbability and Risk ModelsDiverse Scientific and Economic StudiesFinancial Risk and Volatility Modeling

Frequently asked questions about Statistics and Risk Modeling

Is Statistics and Risk Modeling a predatory journal?

PubScope has no integrity flags on record for Statistics and Risk Modeling: 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 β€” always confirm fit and policies before submitting.

What is the impact factor of Statistics and Risk Modeling?

Statistics and Risk Modeling 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 β€” including Arts & Humanities and Emerging Sources titles β€” 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 0.07.

Is Statistics and Risk Modeling indexed in Scopus and Web of Science?

Statistics and Risk Modeling is indexed in Web of Science, Scopus.

What is the aims and scope of Statistics and Risk Modeling?

Statistics & Risk Modeling (STRM) aims to cover modern methods in statistics and probabilistic modeling, with a strong emphasis on machine learning, particularly statistical learning. The journal focuses on applications in finance, insurance, and related fields, addressing key aspects of modeling and risk management. STRM welcomes contributions that explore the uncertainty, risk, and regulation associated with artificial intelligence, as well as stochastic processes and other relevant statistical methods. We are particularly interested in papers that delve into the mathematical foundations of

What is the acceptance rate of Statistics and Risk Modeling?

Statistics and Risk Modeling lists a self-reported acceptance rate of approximately 9.1%. Journal-reported figures can be optimistic β€” treat it as a rough guide, not a guarantee.

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How to tell if a journal is predatoryWhat Q1–Q4 quartiles meanWeb of Science vs Scopus vs DOAJWhat is an APC?

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