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.

Feature	Semantic Scholar	Connected Papers
Overall Score	N/A	N/A
Primary Category	Ai Tools & Services	Ai Tools & Services

Product Overview

Semantic Scholar

Description: Semantic Scholar is an academic search engine developed by the Allen Institute for Artificial Intelligence. It provides access to various academic papers and journal articles.

Connected Papers

Description: 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.

Key Features Comparison

Semantic Scholar Features

• 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

Connected Papers Features

• 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

Pros & Cons Analysis

Semantic Scholar

Pros

• Helps discover new research papers in your field
• Provides metrics on paper and author impact
• Links to open access papers
• Good for interdisciplinary research

Cons

• Not comprehensive - misses a lot of papers
• Metrics focus on citations which has limitations
• Summaries can be hit or miss
• Lacks some features of publisher sites like full text search

Connected Papers

Pros

• Helps discover new connections in research
• Saves time finding related work
• Free to use
• Simple and intuitive interface
• Works with many academic repositories

Cons

• Limited to analyzing PDFs
• Not comprehensive of all published research
• Graph can get complex with many connections
• Requires upload of full-text PDFs

Pricing Comparison

Semantic Scholar

• Free

Connected Papers

• Free