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Connected Papers

by Connected Papers

AI Application
Low Confidence

Connected Papers is a web tool that builds a visual graph of academic papers similar to a paper the user enters, drawing on the Semantic Scholar paper corpus. Researchers and students use it to get an overview of a field, find prior and derivative works and fill gaps in a bibliography. The vendor says each graph analyses about 50,000 papers and keeps the few dozen most strongly connected to the origin paper, using a similarity metric based on co-citation and bibliographic coupling and a force-directed graph layout. The vendor's pages describe no machine learning or generative AI.

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Transparency Score

Weighted across four pillars · updated October 19, 2026

Overall grade
26% weighted
ABCDF
Model
—
Not yet assessed

Capabilities

Academic Paper Similarity Analysis
Citation Graph Visualization
Literature Discovery
Bibliography Export

Vendor Information

Complete information about the vendor/provider of this AI application

Connected PapersView all products →
Connected Papers
Contact Information
www.connectedpapers.com/
hello@connectedpapers.com
Registered Address
Tel Aviv, IL

Infrastructure

Platforms hosting this application — each inherits its own transparency grade.

Microsoft Azure
Microsoft Corporation
F
View full infrastructure →

EU AI Act Provider Information

Verification Status:
Unverified
(Last verified: September 8, 2026)
Connected Papers
Tel Aviv, IL
hello@connectedpapers.com
Compliance & Risk

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Added: September 9, 2026
Updated: October 19, 2026

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