Struggling to choose between Scopus and Connected Papers? Both products offer unique advantages, making it a tough decision.
Scopus is a Education & Reference solution with tags like research, abstracts, citations, journals, metrics.
It boasts features such as Largest abstract and citation database of peer-reviewed literature, Covers scientific journals, books, and conference proceedings, Includes over 75 million records, Covers fields like science, technology, medicine, social sciences, arts, and humanities, Allows users to track citations over time for research topics and publications, Provides citation analysis tools to determine journal impact factor and pros including Comprehensive coverage of peer-reviewed publications, Powerful search and discovery tools, Citations analysis and metrics, Integrates seamlessly with reference management tools, Useful for interdisciplinary research.
On the other hand, Connected Papers is a Ai Tools & Services product tagged with research, paper-discovery, citation-analysis.
Its standout features include Visualizes connections between academic papers, Analyzes text of input paper to find related papers, Interactive graph to explore connections, Extracts citations from input PDF, Web interface and browser extension, and it shines with pros like Helps discover new connections in research, Saves time finding related work, Free to use, Simple and intuitive interface, Works with many academic repositories.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Scopus is a large abstract and citation database of peer-reviewed literature. It covers scientific journals, books, and conference proceedings in the fields of science, technology, medicine, social sciences, arts, and humanities.
Connected Papers is a free academic search tool that helps researchers discover new connections between published research papers. It analyzes the text of a researcher's paper to find related papers and visualizes the connections in an interactive graph.