Elsevier screens research submissions for integrity issues through a layered pipeline: automated tools such as Check Integrity and Crossref Similarity Check flag plagiarism, duplicate submissions and image anomalies at intake, specialist Research Integrity and Publishing Ethics (RIPE) analysts investigate confirmed concerns, and outcomes range from correction through expression of concern to full retraction, following guidelines set by the Committee on Publication Ethics (COPE).
Research integrity screening is the set of technical checks and human review stages a publisher applies to a manuscript, before and after publication, to detect fabrication, falsification, plagiarism, undisclosed image manipulation and paper-mill activity. At Elsevier, that pipeline runs continuously from the moment a manuscript is submitted to the point, if necessary, of retraction.
- How Elsevier’s research-integrity pipeline works, from submission to retraction
- What does Elsevier screen for at the point of submission?
- How does Elsevier detect image manipulation and data-integrity problems?
- Who investigates confirmed misconduct, and what enforcement follows?
- Common questions about Elsevier’s integrity screening
- What this means for institutions, authors and integrity offices
How Elsevier’s research-integrity pipeline works, from submission to retraction
Elsevier operates one of the largest editorial screening operations in scholarly publishing. In 2025, the publisher received 4.2 million manuscript submissions across roughly 3,000 journals and published 795,000 after validation and peer review, according to Elsevier’s own account of its editorial process. Elsevier states that its published output accounts for over 18% of global research output and 29% of citations — a scale that shapes why it has invested heavily in both automated screening and dedicated integrity staff rather than relying on peer review alone.
The pipeline runs across four broad stages, each with a different primary tool or team responsible for catching a different class of problem.
| Stage | Primary tool or team | Typical trigger |
|---|---|---|
| Submission intake | Check Integrity screening tool; Crossref Similarity Check (iThenticate) | Text overlap, duplicate manuscript, unauthorised authorship change |
| Peer review | Editors, external reviewers, RIPE analysts | Implausible data, reviewer-flagged inconsistency, suspicious image reuse |
| Post-publication monitoring | Research Integrity and Publishing Ethics (RIPE) team | Reader or whistleblower reports, cross-journal pattern analysis |
| Enforcement | Editors-in-chief, following COPE-guided process | Confirmed fabrication, falsification or plagiarism |
What does Elsevier screen for at the point of submission?
Every manuscript submitted to an Elsevier journal is routed through automated checks before an editor sees it. Check Integrity, Elsevier’s proprietary screening tool, had been expanded across more than 2,000 journals as of March 2026, according to trade press coverage in Research Information. The tool automatically reviews submissions for red flags — including unauthorised authorship changes, undisclosed conflicts of interest and signs of duplicate or template-like submission — and routes anything flagged to specialist integrity analysts, freeing editors to focus on scientific merit.
Plagiarism screening runs in parallel through Crossref Similarity Check, powered by iThenticate, which compares submitted text against a large index of published articles and web content. There is no fixed similarity percentage that automatically triggers rejection; editors interpret each report to distinguish appropriate citation from genuine textual misconduct.
Paper-mill detection layers on top of these checks. Integrity analysts look for patterns that recur across industrialised fraud, including:
- Formulaic, template-like titles or methods sections
- Unusual or inconsistent author affiliations and contact details
- Data or experimental descriptions that do not match the stated methodology
- Systematic image reuse across ostensibly unrelated papers
- Irregular peer-review patterns, such as reviewer suggestions tied to the same small pool of contacts
How does Elsevier detect image manipulation and data-integrity problems?
Image screening combines editorial guidelines with a mix of manual and software-assisted checks. Elsevier’s policy permits minor adjustments to brightness, contrast or colour balance only where they do not obscure or eliminate information present in the original image; the use of generative AI to create or alter a figure is prohibited outright. Where manipulation is suspected, editors can apply forensic image-analysis tools of the kind recommended by the US Office of Research Integrity, and will typically request the original, unprocessed image files directly from the authors.
Elsevier has also published on the scale of automated flagging behind these checks. At the 8th World Conference on Research Integrity in 2024, Elsevier data scientist Yuri Kashnitsky presented on large-scale flagging of integrity misconduct across the publisher’s portfolio, noting that all system-generated findings are manually checked and confirmed by investigators before any corrective action is suggested to editors — underscoring that software narrows the search space, but a human analyst still makes the determination.
Who investigates confirmed misconduct, and what enforcement follows?
Once a concern is substantiated, Elsevier’s in-house Research Integrity and Publishing Ethics (RIPE) team leads the investigation, working with journal editors and, where warranted, the authors’ institutions. Elsevier states that it follows retraction guidelines developed by COPE, and confirmed problems resolve into one of three outcomes: a correction or erratum for errors that do not undermine the paper’s conclusions, an expression of concern where the investigation is inconclusive but doubts remain, or a retraction where the findings are no longer considered reliable.
A recent case shows this enforcement ladder operating at scale. In a statement updated in May 2026, Elsevier disclosed that a comprehensive, multi-year audit of the journal Heliyon — using Check Integrity screening combined with manual review by RIPE analysts — had produced approximately 1,100 corrections to the scientific record, affecting around 3% of everything the journal had published across 12 years. Those 1,100 actions spanned corrections, expressions of concern and retractions; impacted authors were notified and given the chance to respond before editors made a final determination. Following the audit, Web of Science removed an indexing hold it had placed on Heliyon, and Elsevier said it was applying lessons from the case to workflows across its wider journal portfolio.
Common questions about Elsevier’s integrity screening
Does Elsevier use iThenticate for plagiarism screening?
Yes. Elsevier’s journals route submitted manuscripts through Crossref Similarity Check, which is powered by iThenticate, comparing text against a large index of published articles and web content. Editors, not the software alone, judge whether flagged overlap reflects proper citation or genuine plagiarism before any editorial decision is made.
Who investigates allegations of research misconduct at Elsevier?
Elsevier’s in-house Research Integrity and Publishing Ethics (RIPE) team investigates confirmed concerns, working alongside journal editors and, where relevant, the authors’ institutions. Investigations follow COPE guidelines and typically involve requesting raw underlying data before any corrective action is taken.
What is considered the most serious form of research misconduct?
Fabrication and falsification of data are generally treated as the most serious forms of misconduct, alongside plagiarism, because they directly corrupt the reliability of the published record. Elsevier’s policies place these above lesser breaches such as citation gaming or unresolved authorship disputes.
What happens after a research-integrity investigation confirms a problem?
Confirmed issues lead to one of three outcomes: a correction for errors that do not undermine the findings, an expression of concern where evidence is inconclusive, or a retraction where the results are no longer considered reliable. All three are published and linked to the original article, per COPE guidance.
What this means for institutions, authors and integrity offices
For research administrators, the Heliyon case is a reminder that publisher-side screening is a complement to institutional processes, not a substitute for them. When a journal’s RIPE team contacts an institution about a flagged submission or published paper, that request typically triggers — and depends on — the institution’s own research-integrity office and record-keeping, an area covered in more detail in CASRAI’s research administration resources and its wider research-integrity dictionary entries. Authors, in turn, should expect to be asked for raw, unprocessed data or images at any stage, including years after publication, and should retain those records accordingly.
Elsevier is not acting alone: it collaborates with other publishers through the STM Integrity Hub to detect duplicate submissions across the wider industry, reflecting a broader shift toward cross-publisher, not just single-journal, integrity infrastructure. As automated screening tools mature, the balance is likely to keep shifting toward earlier detection at submission — but the Heliyon audit shows that human RIPE analysts, not algorithms, remain the ones who make the final call on correction, expression of concern or retraction.