Google Scholar vs Connected Papers

Struggling to choose between Google Scholar and Connected Papers? Both products offer unique advantages, making it a tough decision.

Google Scholar is a Education & Reference solution with tags like academic, research, literature-search, citation-management.

It boasts features such as Search engine for academic literature, Indexes articles, theses, books, abstracts, court opinions, Covers many disciplines and sources, Shows citations and versions of each paper, Related articles and cited by features, Author profile pages, Saves searches and sends alerts, Metrics like h-index and i10-index, Integrates with Google for full text access and pros including Free to use, Comprehensive coverage, Good for interdisciplinary research, Shows impact with citation metrics, Easy to use and integrate with Google, Helps find related 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.