Semantic Scholar

What is Semantic Scholar?

Semantic Scholar is a free, AI-driven platform developed by the Allen Institute for AI to enhance the discovery of scholarly research. It aggregates over 225 million academic papers, primarily focusing on published articles and preprints, with limited coverage of books and patents. The platform uses advanced natural language processing and machine learning to provide features like TLDR summaries, influential citation identification, and personalized research recommendations. It serves researchers, students, and professionals by offering tools to navigate complex literature efficiently, making it easier to find relevant papers and understand their impact. Semantic Scholar aims to accelerate scientific discovery by reducing information overload and providing meaningful insights into research trends.

Semantic Scholar's Core Features

• AI-generated TLDR summaries provide concise overviews of papers, helping researchers quickly grasp key findings.

• Influential citation identification highlights citations that significantly impact a paper, aiding in assessing research relevance.

• Personalized research feeds deliver tailored paper recommendations based on user interests and saved library content.

• The Semantic Scholar Academic Graph API allows programmatic access to its vast dataset for advanced research applications.

• Author pages enable researchers to claim and manage their profiles, showcasing their publications and citations.

• Research dashboard offers a centralized hub for tracking saved papers, recent citations, and personalized recommendations.

• Field of Study classification uses machine learning to categorize papers based on titles and abstracts, improving search precision.