Home›Search›Probability in the Engineering and Informational Sciences

Probability in the Engineering and Informational Sciences

Cambridge University Press · United Kingdom

ISSN0269-9648eISSN1469-8951
SJR Q2✓ WOS SCIE✓ Scopus / SJR
90
/ 100
High Trust
PubScope credibility score from verifiable indexing & ethics signals
Score Breakdown
◆ WoS flagship (SCIE/SSCI/AHCI)78
✓ Corroboration (2 more)+12
Total90
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?
Publication speed: not measurable
publisher doesn’t disclose per-article submission dates — we never estimate
Q2
SJR Rank
Top 50% in field
Impact Factor & Quartile · Web of Science (JCR)

✓ Indexed in the Web of Science Core Collection (SCIE) — 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JCR quartile are licensed by Clarivate — we link you to the official source instead of reprinting a number that can go out of date.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 Q2. Source: Clarivate Journal Citation Reports.

SJR Scorei
0.413
H-Indexi
61
CiteScore
View ↗
Scopus metric · on the journal’s page
SNIPi
1.048
Total Worksi
1,672
Total Citationsi
19,760
2yr Mean Citednessi
1.00
Open Impact Factor alternative

Aims & Scope

Probability in the Engineering and Informational Sciences publishes original research papers on the theory and application of probability and stochastic processes in engineering and the informational sciences. The journal covers a wide range of topics, including but not limited to: stochastic modeling, statistical inference, reliability theory, queueing theory, signal processing, control theory, machine learning, and data science. The journal aims to foster interdisciplinary research and collaboration between mathematicians, engineers, and computer scientists.

General Information

Country / RegionUnited Kingdom
Primary LanguageEnglish
1st Year Published—
FrequencyBimonthly
StatusActive
Total Publications1,672
Publisher OrgCambridge University Press
Visit Journal Website

Submission Info

Publishing ModelSubscription
Peer ReviewDouble-blind 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

7/12 · 58%
✅
Do you know the journal / publisher?
Cambridge University Press
✅
Does the journal have a website?
✓ Linked
✅
Is the ISSN verified?
0269-9648 / 1469-8951
✅
Indexed in a trusted database?
WoS, Scopus
✅
Peer review process documented?
Double-blind peer review
❌
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
57
321
2019
64
359
2020
50
242
2021
54
136
2022
31
104
2023
27
46
2024
25
34
2025
20
3
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.

Industrial and Manufacturing EngineeringQ2
Management Science and Operations ResearchQ3
Statistics and ProbabilityQ3
Statistics, Probability and UncertaintyQ3

Subject Classification

Web of Science Categories

Engineering, IndustrialOperations Research & Management ScienceStatistics & Probability

Scopus Categories

Industrial and Manufacturing EngineeringStatistics, Probability and UncertaintyManagement Science and Operations ResearchStatistics and Probability

Research Topics (OpenAlex)

Advanced Queuing Theory AnalysisProbability and Risk ModelsStatistical Distribution Estimation and ApplicationsReliability and Maintenance OptimizationSuperconducting Materials and Applications

Frequently asked questions about Probability in the Engineering and Informational Sciences

Is Probability in the Engineering and Informational Sciences a predatory journal?

PubScope has no integrity flags on record for Probability in the Engineering and Informational Sciences: it is indexed in Web of Science, Scopus, and is not on DOAJ's withdrawn list. Its PubScope Trust Score is 90/100. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.

What is the impact factor of Probability in the Engineering and Informational Sciences?

Probability in the Engineering and Informational Sciences 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 1.00.

Is Probability in the Engineering and Informational Sciences indexed in Scopus and Web of Science?

Probability in the Engineering and Informational Sciences is indexed in Web of Science, Scopus.

What is the aims and scope of Probability in the Engineering and Informational Sciences?

Probability in the Engineering and Informational Sciences publishes original research papers on the theory and application of probability and stochastic processes in engineering and the informational sciences. The journal covers a wide range of topics, including but not limited to: stochastic modeling, statistical inference, reliability theory, queueing theory, signal processing, control theory, machine learning, and data science. The journal aims to foster interdisciplinary research and collaboration between mathematicians, engineers, and computer scientists.

You May Also Like

See all →
Stochastic Models
Taylor and Francis Ltd.
SJR Q3SCIE
JOURNAL OF APPLIED MATHEMATICS STATISTICS AND INFORMATICS
PARADIGM PUBLISHING SERVICES-DE GRUYTER BRILL SP ZOO
Modern Stochastics: Theory and Applications
VTeX
SJR Q2💎 Free APC
Methodology and Computing in Applied Probability
Springer Netherlands
SJR Q2SCIE
Compare This JournalFind Similar← Back to Search
Understand these signals
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 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref