Detect Citation Stacking From Raw Manuscripts
The only platform that analyzes author citation patterns directly from PDF and Word documents, before peer review begins. Prevent integrity issues from reaching the scientific record.
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What is Citation Stacking?
Citation stacking refers to the problematic practice where authors excessively cite their own work or that of close collaborators, creating artificial citation networks that can skew metrics and distort the scientific record.
Common Patterns Include:
- Excessive self-citation beyond reasonable levels
- Hidden author over-representation behind "et al." abbreviations
- Circular citation networks among collaborators
- Irrelevant citations added to boost citation counts
- Reliance on low-quality or retracted sources
Why It Matters:
- Distorts scientific impact metrics
- Undermines peer review integrity
- Can lead to journal penalties and retractions
- Wastes editorial time and resources
- Damages publisher reputation
How Veracity Detects Citation Stacking
Direct Document Processing
Works directly from PDF and Word documents—no need for structured metadata or special formatting. Upload and analyze instantly.
Reveals Hidden Patterns
Resolves "et al." abbreviations to expose full author lists, detecting hidden over-representation that other tools miss.
Prevent Before Publication
Catch citation stacking at initial submission, before peer review begins, preventing issues from reaching the scientific record.
The Scale of the Citation Stacking Problem
Papers showing concerning author over-representation patterns
Of submissions typically flagged for high author citation counts
Time saved through automated detection vs. manual screening
The Growing Crisis
There's a growing backlog of publications with high levels of author over-representation and poor citation distributions that have made it through traditional review processes into the scientific record. Publishers are now being penalized for these integrity issues.
The solution is prevention: catching these potential issues at the earliest stage, before they become problems in the published record. Veracity's unique ability to analyze raw manuscripts from initial submission enables this preventive approach.
Who Uses Citation Stacking Detection?
Authors & Researchers
Self-check your citations before submission to ensure you're within acceptable citation patterns and avoid publication delays.
→ Request AccessEditors & Reviewers
Screen submissions for citation stacking patterns during initial review to maintain editorial standards and save time.
Publishers & Journals
Implement systematic citation stacking detection across your publication pipeline to protect reputation and avoid penalties.
What Sets Our Citation Stacking Detection Apart
Works from Raw Manuscripts
Unlike other integrity solutions that require structured metadata, Veracity analyzes raw PDF and Word documents from initial submission, enabling checks before peer review even begins.
Unhides Author Patterns
We resolve abbreviated "et al." citations to reveal full author lists, detecting hidden over-representation that can indicate bias or citation stacking—even when authors attempt to obscure these patterns.
Comprehensive Analysis
Beyond simple citation counts, we analyze citation patterns, journal distributions, and author networks to provide a complete picture of potential integrity issues.
Actionable Insights
Get clear, explainable results with specific recommendations for addressing identified issues, making it easy for editors and authors to take corrective action.
Ready to Detect Citation Stacking?
Upload your manuscript now for immediate citation pattern analysis.