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Connected Papers

Connected Papers is a visual academic search and exploration tool designed to help researchers map literature, track citation networks, and discover relevant scientific papers across various disciplines.

About this resource

Connected Papers functions as an interactive literature analysis platform that leverages the Semantic Scholar Paper Corpus to generate dynamic network graphs based on co-citation and bibliographic coupling. By inputting a single "seed paper," users can generate a force-directed graph where nodes represent related documents clustered together by conceptual similarity rather than just direct citation chains. The platform features customizable node scaling to reflect citation popularity, color-coding for publication dates, and dedicated tabs to isolate "Prior Works" (seminal ancestral papers) and "Derivative Works" (subsequent state-of-the-art studies). Tailored for academics, graduate students, and applied scientists, its practical value lies in transforming linear database results into scannable visual maps, ensuring comprehensive literature tracking, identifying research gaps, and supporting reference exports in formats like BibTeX.

Listing information

Added
3-Oct-2026
Language
Listing ID
3389
Classification
Search Engine
Listing type
Both Free and Paid Listing
Category
Top : AI Search Engines : AI Academic Search : Connected Papers
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0

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