Journal profile · Multiple
Data-Centric Engineering
ISSN 2632-6736 · Cambridge University Press · United Kingdom
Data-Centric Engineering: CAS Zone 3 · Engineering (2025 upgraded edition); impact factor 98 (journal website); fully open access; APC about USD 2,930; review about 12 weeks (community reports); 57 articles in 2025; indexed in ESCI and Scopus.
Scope
Aims, scope and focus
Data-Centric Engineering is published by Cambridge University Press and is in Zone 3 of Engineering in the CAS Journal Ranking (2025 upgraded edition). By OpenAlex counts of its recent articles, its largest topics are Model Reduction and Neural Networks, Probabilistic and Robust Engineering Design and Structural Health Monitoring Techniques, together about 34.1% of its articles. (generated from OpenAlex topic counts and CAS ranking data)
Data-Centric Engineering (DCE) is a peer-reviewed open-access journal dedicated to the transformative impact of data science for research and practice across all areas of engineering. Articles explore the benefits of data science methods and models for improving the reliability, resilience, safety, efficiency and usability of engineered systems. DCE welcomes original research, translational papers focused on downstream settings, tutorial reviews, position papers and surveys of this emerging field. It is free to access, and there are no financial barriers for authors to contribute.
From the journal's Aims & Scope
Research area (LetPub): Multiple
Editor-in-chief Alice CicirelloPublisher website
Main research topics OpenAlex counts of recent articles; shares are approximate
- Model Reduction and Neural NetworksPhysics and Astronomy14.5%
- Probabilistic and Robust Engineering DesignDecision Sciences10.6%
- Structural Health Monitoring TechniquesEngineering9.1%
- Infrastructure Maintenance and MonitoringEngineering7%
- Advanced Multi-Objective Optimization AlgorithmsComputer Science5.7%
- Fluid Dynamics and Turbulent FlowsEngineering4.2%
- Machine Learning in Materials ScienceMaterials Science4.2%
- Gaussian Processes and Bayesian InferenceComputer Science4.2%
Rankings & indexing
CAS ranking and database indexing
CAS Journal Ranking
CAS Journal Ranking, upgraded edition (March 2025)Engineering Zone 3
| Level | Category | Zone |
|---|---|---|
| Major | Engineering | Zone 3 |
| Minor | Computer Science, Artificial Intelligence | Zone 4 |
| Minor | Computer Science, Interdisciplinary Applications | Zone 4 |
| Minor | Engineering, Multidisciplinary | Zone 4 |
Top journal: noReview journal: no
CAS Xinrui Journal Ranking (March 2026)Engineering Zone 3
| Level | Category | Zone |
|---|---|---|
| Major | Engineering | Zone 3 |
| Minor | Computer Science, Artificial Intelligence | Zone 4 |
| Minor | Computer Science, Interdisciplinary Applications | Zone 4 |
| Minor | Engineering, Multidisciplinary | Zone 3 |
Top journal: noReview journal: not marked
CAS Journal Ranking, previous upgraded edition (December 2023)Not covered
Not covered by this edition.
Database indexing
ESCIScopusDOAJLetPub
International journal early-warning lists: not listed in any editionLetPub
Editions, and major and minor categories, are shown separately and never merged into one zone; check which edition your institution uses before you submit or report.
Metrics
Impact metrics and publication volume
Impact
- Impact factor (publisher) 2025
- 98Publisher website ·
- CiteScore 2026-06
- 4.8LetPub ·
- SJR 2026-06
- 0.64LetPub ·
- SNIP 2026-06
- 1.04LetPub ·
- h-index
- 26OpenAlex ·
- i10-index
- 69OpenAlex ·
- 2-year mean citedness
- 4.41OpenAlex ·
- Self-citation rate
- 6.2%LetPub ·
- Share of gold OA articles
- 100%LetPub ·
Volume
- Articles per year
- 52LetPub ·
Articles by year OpenAlex count · 258 in total · the current year is incomplete
| Year | Articles | Open access | Citations |
|---|---|---|---|
| 2026 | 43 | 43 | 22 |
| 2025 | 57 | 57 | 223 |
| 2024 | 50 | 50 | 417 |
| 2023 | 30 | 30 | 374 |
| 2022 | 37 | 37 | 461 |
| 2021 | 20 | 20 | 523 |
Sources count differently and were observed at different times, so each source's own value is kept; "publisher" marks figures from the journal's website.
Review & acceptance
Review time and acceptance
- Average review time (community reports)
- about 12 weeksLetPub ·
- Submission to publication (journal-reported)
- about 12 weeksDOAJ ·
- Peer review
- Single anonymous peer reviewDOAJ
Community reports come from authors' own submissions (confidence 0.5) and are not a promise from the journal; for publisher figures, the journal's own definitions apply.
Fees & open access
APC and open-access policy
Fully open accessDOAJ
Every article is open access; authors usually pay an article processing charge (APC).
| Source | APC | Fee waiver | License | Observed |
|---|---|---|---|---|
| DOAJ | GBP 1,970 / USD 2,930 | Yes | CC BY, CC BY-NC-SA, CC BY-NC-ND | |
| OpenAlex | USD 3,550 / GBP 2,460 | — | — | |
| LetPub | USD 2,930 / GBP 1,970 | Yes | — | |
| Publisher website | Yes, amount not published | — | — |
The journal's website is authoritative for fees; sources were observed at different times and each keeps its own value, without averaging.
Submission
Article types and submission policies (journal website)
What to prepare1 items from the author guidelines
- First submission
- Free format: the journal's layout is not required
Article types accepted11
- data paperDCE publishes the following peer-reviewed article types. Suggested word counts are simply a guide and are not strictly enforced, given that DCE is online-only a…Length not stated
- data papersData papers that describe in a structured way, with a narrative and accompanying metadata, important and re-usable data sets in open repositories with potential…Length not stated
- position papersPosition papers (6,000 words or less) providing an overview of an important issue for this emerging field.Length not stated
- research articleDCE publishes the following peer-reviewed article types. Suggested word counts are simply a guide and are not strictly enforced, given that DCE is online-only a…Length not stated
- research articlesResearch articles using data science methods and models for improving the reliability, resilience, safety, efficiency and usability of engineered systems.Length not stated
- reviewDCE publishes the following peer-reviewed article types. Suggested word counts are simply a guide and are not strictly enforced, given that DCE is online-only a…Length not stated
- surveyDCE publishes the following peer-reviewed article types. Suggested word counts are simply a guide and are not strictly enforced, given that DCE is online-only a…Length not stated
- survey papersSurvey papers providing a detailed, balanced and authoritative current account of the existing literature concerning data-intensive methods in a particular face…Length not stated
- translational papersTranslational papers (6,000 words or less) demonstrating the downstream benefits of data-intensive engineering - and the underlying data science principles, tec…Length not stated
- tutorialDCE publishes the following peer-reviewed article types. Suggested word counts are simply a guide and are not strictly enforced, given that DCE is online-only a…Length not stated
- tutorial reviewsTutorial reviews providing an introduction and overview of an important topic of relevance to the journal readership.Length not stated
Policy excerpts from the journal's websitePeer review
- Peer review Peer review process
Articles submitted to DCE are subject to a single-blind peer review process. Research articles are assigned to an Executive Editor who will seek a minimum of two reviews before recommending a decision to the Editor-in-Chief. An article may be rejected without review if the Editor-in-Chief determines that it is inappropriate or of insufficient quality to merit peer review. Non-research articles (pe…
Source ↗Publisher website ·
Excerpts are quoted from the journal's website; "model summary" lines are written by Workers AI and checked against the text. The journal's website is authoritative.
Profile
Publication details and official links
- Publisher
- Cambridge University Press
- Country or region
- United Kingdom
- Language
- English
- ISSN
- 2632-6736
- Official links
- Journal homepage ↗LetPub
- Submission system ↗Publisher website
- Author guidelines ↗LetPub
- Aims & Scope ↗LetPub
- Special issues ↗Publisher website
- APC information ↗DOAJ
- Fee waivers ↗DOAJ
- Open access statement ↗DOAJ
- License & copyright ↗DOAJ
- Peer review process ↗LetPub
- Editorial board ↗LetPub
- Plagiarism policy ↗DOAJ
FAQ
Frequently asked questions about Data-Centric Engineering
What CAS zone is Data-Centric Engineering in?
In the 2025 upgraded edition of the CAS Journal Ranking, Data-Centric Engineering is in Zone 3 of Engineering, and in Zone 4 of the minor category Computer Science, Artificial Intelligence / Computer Science, Interdisciplinary Applications / Engineering, Multidisciplinary. In the 2026 Xinrui edition it is in Zone 3 of Engineering. Zones from different editions, and from major and minor categories, are not interchangeable.
What is the impact factor of Data-Centric Engineering?
The journal's website gives an impact factor of 98 (2025); this is the journal's own figure, as LetPub lists none for it; CiteScore 4.8, h-index 26.
How long does peer review take at Data-Centric Engineering?
Authors report an average review time of about 12 weeks. Article statistics cover accepted papers only, publisher figures follow the journal's own definitions, and community reports come from authors' own submissions; none is a promise from the journal.
Which databases index Data-Centric Engineering?
According to LetPub and DOAJ records, Data-Centric Engineering is indexed in ESCI, Scopus and DOAJ.
Is Data-Centric Engineering open access, and what is the APC?
Data-Centric Engineering is a fully open-access journal. APC about USD 2,930.
Sources and updates
The facts on this page come from LetPub, OpenAlex, DOAJ, Publisher website; every figure is tagged with its source and the date it was observed, and conflicting values are kept per source. LetPub source page: view ↗ (archived 2026-08-25). Last updated: .