Semantic Scholar
Semantic Scholar is an AI-powered search and discovery tool used by millions of scholars globally each month, and supports hundreds of thousands of scholarly searches each week.
Our mission is to empower researchers to fight information overload. Searching on our platform enables scholars to navigate through hundreds of millions of papers in all scientific domains.
So, how does it work?
Underlying all of Semantic Scholar is a deep semantic analytic engine that helps researchers understand the meaning of a paper. Natural language processing and machine learning models rank the results by relevance, all to help you quickly find the most up-to-date research in your field.
To get started, visit semanticscholar.org and enter a search for a paper, author, topic, or keyword. You can further refine your search results using our many filter options. Select field of study to find literature from a particular domain. If you’re looking for recent research, filter your results down to the past two years. You can also filter by publication type, authors, or journals and conferences.
Clicking on a paper title will take you to our paper pages. To learn more about Semantic Scholar paper pages, watch the tutorial.
Find new research at semanticscholar.org. .