Cut through the clutter
Find peer-reviewed research from the world's most trusted sources
Semantic Scholar is a free, nonprofit, academic search engine from AI2.
Trending research papers
Learn more about how we identify trending research papers here.
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How it works
We've pulled over 40 million scientific papers from sources like PubMed, Nature, and ArXiv.
Our AI analyzes research papers and pulls out authors, references, figures, and topics.
We link all of this information together into a comprehensive picture of cutting-edge research.
How Semantic Scholar can help you
Quickly drill down through thousands of research papers using our AI-powered suggested search terms.
Get up to speed on new areas of research using our topic pages, which provide definitions, a high-level view of important research, and trends in the literature over time.
Find connections between studies by seeing which research papers had the biggest impact on others.
The potential of AI for scientific research
What if a cure for an intractable cancer is hidden within the results of thousands of clinical studies? We believe that in 20 years’ time, AI will be able to connect the dots between studies to identify hypotheses and suggest experiments that would otherwise be missed. That's why we're building Semantic Scholar and making it free and open to researchers everywhere.
Semantic Scholar is a project at the Allen Institute for Artificial Intelligence (AI2). AI2 was founded to conduct high-impact research and engineering in the field of artificial intelligence. We're funded by Paul Allen, Microsoft co-founder, and led by Dr. Oren Etzioni, a world-renowned researcher and professor in the field of artificial intelligence.
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