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AI-Generated Tools for Academic Research
Connected Papers
AI-Generated Tools for Academic Research
A guide that outlines the key features, benefits, drawbacks, and potential applications of AI-powered research tools.
Welcome!
Guidelines for AI Use in Research: Ethical Considerations
Connected Papers
Introduction to Connected Papers
More About Connected Papers
Worksheet: Exploring Research Connections with Connected Papers
Consensus
References
R.E.A.C.T. Framework
Introduction to Connected Papers
Connected Papers
Connected Papers is a visual literature mapping tool that uses citation networks to find similar academic papers.
Video Transcript: Use Connected Papers to Find Papers in Your Research Field
More About Connected Papers
How it Works:
Uses a similarity metric combining: (a) Co-citations (two documents cited together by others) and (b) Bibliographic coupling (two works referencing a common third work)
Leverages the
Semantic Scholar
corpus:
A free, AI-powered research tool
Provides a large database of academic papers (around 200 million records)
Utilizes machine learning techniques
User Interaction:
Discover relevant papers by: a) Starting with one seed paper (can add more iteratively using multi-origin graphs) or b) Searching for keywords
Filter papers by publication year, keyword, PDF availability, or open access
Use list view to see percentage of similarity to origin paper
Use prior works to show seminal, most frequently cited papers
Use derivative works for recent papers
Visual Representation:
Generates a Force Directed Graph:
Each node represents a paper
Line length on map shows degree of connectedness
Size of the node represents number of citations
Darker color represents more recent publications
Clusters similar papers together (force-directed layout algorithm simulates attractive and repulsive forces between the nodes)
Notable Features:
Integrates with
Zotero
Benefits:
Easy identification of key research areas
Highlights seminal works in the field
Intuitive visual interface for paper similarity exploration
Limitations:
Freemium model
Free version only allows for 2 graphs, then requires user account for up to 5 graphs per month
$6/month for academic subscription
Works best with English-language publications
Visual interface may challenge some users
Possible blind spots, such as:
underrepresented researchers and bias towards highly cited papers
niche topics or recent topics not cited much yet
articles behind a paywall or with abstract-only access
limited by the Semantic Scholar index, which has coverage gaps (particularly for monographs and textbooks) and occasional metadata completeness issues
Worksheet: Exploring Research Connections with Connected Papers
Connected Papers Workshop Activity
This activity has two sections; Part I: Exploring Research Connections with Connected Papers and Part II: Co-citation vs. Bibliographic coupling
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Guidelines for AI Use in Research: Ethical Considerations
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