Connected Papers
A visual research tool that generates interactive graphs to explore relationships between academic papers, accelerating literature discovery and understanding.
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Product Overview
What is Connected Papers?
Connected Papers is an innovative platform designed to help researchers, academics, and students efficiently explore scientific literature through interactive visual graphs. By inputting a seed paper, the tool analyzes citation and similarity data to create a network of related works, enabling users to quickly identify key studies, foundational papers, and emerging trends. Leveraging the extensive Semantic Scholar database, Connected Papers offers a unique, intuitive way to navigate complex research fields, making literature reviews and research surveys more insightful and less time-consuming.
Key Features
Interactive Visual Graphs
Generates dynamic, easy-to-navigate graphs that map the relationships between academic papers based on citation and content similarity.
Prior and Derivative Works Analysis
Identifies foundational and subsequent research papers, providing a comprehensive view of a topic's development.
Multi-Origin Graphs
Allows users to add multiple seed papers to compare and find intersecting research areas within one graph.
Bibliography Enhancement
Helps users build and complete bibliographies by discovering relevant papers that might be missing from their reference lists.
Customizable Graph Filters
Enables filtering by date, relevance, and citation count to tailor the graph to specific research needs.
Extensive Database Integration
Powered by Semantic Scholarโs vast corpus of millions of papers across diverse scientific disciplines for accurate and up-to-date research mapping.
Use Cases
- Literature Review : Streamlines the process of surveying academic literature by visually mapping related works, making it easier to identify key papers and research gaps.
- Academic Writing and Thesis Preparation : Assists students and researchers in building comprehensive bibliographies and understanding the evolution of research topics.
- Research Trend Analysis : Helps researchers track recent developments and influential papers within their field to stay updated on emerging trends.
- Paper Discovery for Peer Review : Enables reviewers to quickly find relevant prior and derivative works to assess the novelty and context of submitted manuscripts.
- Cross-Disciplinary Research Exploration : Facilitates exploration of interconnected research areas by visualizing relationships between papers from different disciplines.
FAQs
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Analytics of Connected Papers Website
๐จ๐ณ CN: 15.28%
๐บ๐ธ US: 11.28%
๐ฎ๐ฉ ID: 8.61%
๐ฉ๐ช DE: 5.95%
๐ฌ๐ง GB: 4.58%
Others: 54.3%
