Semantic Scholar vs Connected Papers

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

Semantic Scholar is a Ai Tools & Services solution with tags like research, papers, articles, search-engine.

It boasts features such as Search engine for academic literature, Advanced search with filters like field of study, publisher, etc, Author profile pages with citation metrics and co-author network, Related Papers recommendations, Open access papers clearly marked, Citations extracted and linked to source documents, Summarized key points for each paper, Chrome and Firefox browser extensions and pros including Helps discover new research papers in your field, Provides metrics on paper and author impact, Links to open access papers, Good 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.