Semantic Scholar — AI Research Tool

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What is Semantic Scholar?

Semantic Scholar is an AI-powered research tool that allows researchers and academics to search over 200 million scientific papers across multiple fields. It provides features like citation-based paper recommendations, AI-generated summaries of key findings, and in-context citation information to help scholars quickly find relevant research and understand a paper's impact.

What sets Semantic Scholar apart?

Semantic Scholar sets itself apart with AI-powered citation analysis, helping researchers pinpoint influential papers in their field. This feature proves especially useful for graduate students and early-career academics trying to grasp the impact of various studies. The tool's AI-generated summaries of key findings allow busy researchers to quickly review many papers.

Semantic Scholar Use Cases

Literature search and discovery
Research paper recommendations
Citation analysis
Academic trend tracking
Personalized research feeds

Who uses Semantic Scholar?

Research Analysts Students Academic Researchers Medical Directors Content Strategists Research Scientists Physicians Psychiatrists Psychologists Technical Writers Journalists Content Writers Data Scientists Teachers Professors

Features and Benefits

AI-powered search
Search over 200 million academic papers from all fields of science using advanced AI algorithms.
TLDRs
View AI-generated summaries of papers' main objectives and results to quickly assess relevance.
Research Feeds
Receive personalized paper recommendations based on your interests and library contents.
Citation analysis
Identify highly influential citations within papers to focus on the most impactful references.
Semantic Reader
Access an augmented reading experience with in-context citation information and AI-powered skimming support.