Papersgraph
Search millions of research papers, visualize citation networks, and discover groundbreaking insights with our intelligent graph system
About
Papersgraph is a powerful research paper search and visualization platform specifically designed for AI and machine learning researchers. The site contains over 10 million research papers and has mapped 5 million citations. Its most attractive feature is the interactive graph visualization system, which allows users to view citation networks and connections between different papers. Research papers on computer science, medicine, natural language processing, and computer vision can be easily found here. The trending section displays the most cited and influential papers. Detailed information for each paper including author names, publication year, citation count, and in many cases direct PDF download links are available. Due to its real-time search functionality and graphical representation, it serves as an extremely useful tool for researchers and students seeking to explore academic literature and understand research connections efficiently.
Key Features
Interactive Citation Graph Visualization
"View Citation Graph" option for each paper Visual representation of connections between papers Real-time graph visualization
Massive Database
10+ million research papers 5+ million citations mapped
Smart Search System
Search across millions of papers Quick search options: Transformer, GPT, Neural Networks Intelligent graph system
Trending Papers Section
Most cited papers Impactful AI research papers Coverage across Machine Learning, Computer Vision, NLP
How to Use Papersgraph
Papersgraph is a powerful research paper search and visualization platform specifically designed for AI and machine learning researchers. The site contains over 10 million research papers and has mapped 5 million citations. Its most attractive feature is the interactive graph visualization system, which allows users to view citation networks and connections between different papers. Research papers on computer science, medicine, natural language processing, and computer vision can be easily found here. The trending section displays the most cited and influential papers. Detailed information for each paper including author names, publication year, citation count, and in many cases direct PDF download links are available. Due to its real-time search functionality and graphical representation, it serves as an extremely useful tool for researchers and students seeking to explore academic literature and understand research connections efficiently.