HomeSearchData-Centric Engineering

Data-Centric Engineering

Cambridge University Press · United Kingdom · Est. 2020

ISSN2632-6736eISSN2632-6736
SJR Q2WOS ESCIScopus / SJRDOAJOpen Access
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JCR quartile are licensed by Clarivate — we link you to the official source instead of reprinting a number that can go out of date.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 Q2. Source: Clarivate Journal Citation Reports.

📊 Standing in its field
Where this journal ranks among others in the same subject area.
Q2
SJR · Scopus
Top 50% in field
Clarivate’s JCR quartile is a separate ranking and may differ
SJR Scorei
0.638
H-Indexi
22
SNIPi
0.884
Total Worksi
223
Total Citationsi
2,297
2yr Mean Citednessi
3.48
Open Impact Factor alternative

Aims & Scope

Data-Centric Engineering is an open access journal that publishes high-quality research on the engineering of data-intensive systems and applications. It covers a broad range of topics, including data management, data mining, machine learning, artificial intelligence, and their applications in various engineering domains. The journal aims to foster interdisciplinary collaboration and advance the state-of-the-art in data-centric engineering.

General Information

Country / RegionUnited Kingdom
Primary LanguageEnglish
1st Year Published2020
FrequencyQuarterly
StatusActive (last: 2026)
Total Publications223
Publisher OrgCambridge University Press
OA Since2019
Visit Journal Website

Submission Info

Peer ReviewSingle-blind
OA LicenseCC BY, CC BY-NC-SA, CC BY-NC-ND
OA Rate

Ethics & Quality

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

Think.Check.Submit Compliance

9/11 · 82%
Do you know the journal / publisher?
Cambridge University Press
Does the journal have a website?
✓ Linked
Is the ISSN verified?
2632-6736 / 2632-6736
Indexed in a trusted database?
WoS, Scopus, DOAJ
Peer review process documented?
Single-blind
Follows ethical publishing standards (COPE)?
N/A
Not on predatory/blacklists?
✓ Clean
Long-term digital preservation?
N/A
Plagiarism detection in place?
Yes
Listed in DOAJ (verified OA)?
DOAJ verified
Primary language documented?
English

A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.

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

Publication & Citation Trend

Articles published
Citations received
21
876
2020
20
436
2021
37
454
2022
30
360
2023
50
392
2024
56
208
2025
35
17
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.

Applied MathematicsQ2
Computer Science ApplicationsQ2
Engineering (miscellaneous)Q2
Statistics and ProbabilityQ2

Subject Classification

Web of Science Categories

Computer Science, Artificial IntelligenceComputer Science, Interdisciplinary ApplicationsEngineering, Multidisciplinary

Scopus Categories

Applied MathematicsComputer Science ApplicationsEngineering (miscellaneous)Statistics and Probability

Research Topics (OpenAlex)

Model Reduction and Neural NetworksProbabilistic and Robust Engineering DesignStructural Health Monitoring TechniquesInfrastructure Maintenance and MonitoringAdvanced Multi-Objective Optimization AlgorithmsGaussian Processes and Bayesian InferenceMachine Learning in Materials ScienceFluid Dynamics and Turbulent FlowsFault Detection and Control SystemsBuilding Energy and Comfort Optimization

Frequently asked questions about Data-Centric Engineering

Is Data-Centric Engineering a predatory journal?

PubScope has no integrity flags on record for Data-Centric Engineering: it is indexed in Web of Science, Scopus, DOAJ, and is not on DOAJ's withdrawn list. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.

What is the impact factor of Data-Centric Engineering?

Data-Centric Engineering 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 3.48.

Is Data-Centric Engineering indexed in Scopus and Web of Science?

Data-Centric Engineering is indexed in Web of Science, Scopus, DOAJ.

What is the aims and scope of Data-Centric Engineering?

Data-Centric Engineering is an open access journal that publishes high-quality research on the engineering of data-intensive systems and applications. It covers a broad range of topics, including data management, data mining, machine learning, artificial intelligence, and their applications in various engineering domains. The journal aims to foster interdisciplinary collaboration and advance the state-of-the-art in data-centric engineering.

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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 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref