Tutorial Videos

Learn how to use our AI-powered academic search engine

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101: Citations Overview

With billions of citations, Semantic Scholar provides a scientific literature graph that allows scholars to navigate and discover the most relevant research across all fields of study. 

Our novel citation features allow you to discover highly influential works and easily search a paper's citations. This video covers:

  • Classifications: Citations are classified by 'Cites Results', 'Cites Methods', or 'Cites Background'
  • Highly Influential Citations: Identifies important citations in the literature
  • Search, Sort, Filter: Quickly search and filter a paper's citations
View Transcript

Navigate through millions of scientific papers in all fields of study by searching our corpus.

In this video learn search best practices like:

  • Selecting 'Field of Study' to find literature from a particular domain
  • Specifying a date range or select 'This Year' to find the most recent literature
  • Refining results further by choosing a Publication Type, Authors, or Journals and Conferences
View Transcript

101: Paper Pages

Semantic Scholar's corpus includes nearly 200 million academic papers across all domains, including biomedicine, computer science, business, history, and economics.

Our system extracts key information from papers and presents it on the Paper Page for review. Learn how to:

  • Browse videos, presentations, code libraries, and clinical trials
  • Get a glimpse at a paper’s figures, tables, and topics
  • Skim news or blog articles discussing a paper
  • Navigate citations and references to find connections to other papers
View Transcript

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Latest News & Updates

Announcing S2FOS, an open source academic field of study classifier

Announcing S2FOS, an open source academic field of study classifier

New model makes academic field of study classification widely available and adds Linguistics, Law, Education, and Agriculture and Food Sciences to Semantic Scholar

Featured AI2er: Rodney Kinney

Featured AI2er: Rodney Kinney

Rodney Kinney is a Principal Machine Learning Engineer on the Semantic Scholar team at AI2.

Semantic Scholar Academic Graph for Developers

Semantic Scholar Academic Graph for Developers

Access more than 200 million papers through the Semantic Scholar Academic Graph Dataset and APIs