
TechRxiv
A preprint server for health sciences.

Visually explore and discover academic papers.

Connected Papers is a visual tool designed to help researchers and students discover and explore academic papers. It generates a graph of papers related to a seed paper, showing connections based on citation similarity. The architecture involves analyzing citation networks and generating a force-directed graph layout for visualization. Value proposition includes efficient literature review, identifying key papers, and understanding the research landscape. Use cases range from exploring unfamiliar topics to staying updated in specific research areas and discovering relevant but overlooked papers. The platform facilitates rapid navigation through related work, accelerating the research process and offering alternative perspectives on a subject.
Connected Papers is a visual tool designed to help researchers and students discover and explore academic papers.
Explore all tools that specialize in citation analysis. This domain focus ensures Connected Papers delivers optimized results for this specific requirement.
Analyzes the citation relationships between papers to identify key publications and research trends. Employs algorithms to quantify similarity based on shared citations.
Allows users to adjust graph layout, node size, and edge thickness based on different metrics such as citation count or similarity score. Uses force-directed algorithms to optimize graph structure.
Suggests relevant papers based on the user's initial query and the structure of the generated graph. Uses machine learning to refine recommendations over time.
Provides interactive tools for exploring the graph, such as zooming, panning, and filtering. Utilizes web-based technologies for smooth and responsive user experience.
Allows users to export the generated graph as an image or a data file for further analysis and collaboration. Supports multiple file formats for compatibility with other tools.
Enter a starting paper by title, DOI, or URL.
The tool analyzes the citation network and generates a graph.
Explore the graph to identify related papers.
Adjust the graph's settings to customize the visualization.
Click on individual nodes (papers) to view abstracts and details.
Use the 'Prior Works' and 'Derivative Works' buttons to further explore related research.
Save and export the generated graph for future reference or collaboration.
All Set
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Verified feedback from other users.
"Users praise its intuitive interface and effectiveness in exploring research connections, but some criticize the limited features in the free tier and occasional graph generation errors."
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