Untitled - Semantic Scholar 2025

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In contrast with Google Scholar and PubMed, Semantic Scholar is designed to highlight the most important and influential elements of a paper. The AI technology is designed to identify hidden connections and links between research topics.
With Semantic Scholar, researchers can understand a paper at a glance. Our system extracts meaning and identifies connections from within papers, then surfaces these insights to help Scholars discover and understand research.
Semantic Scholar API Provides on-demand source of data about authors, papers, citations, venues, and more from Semantic Scholar, a free, AI-powered academic search engine with nearly 200 million papers covering all disciplines. No API key is required.
Semantic Scholar - Augment your research with data from a 200 million peer-reviewed research papers database. Google Search - Enrich your research with information from Google, complete with citations.
One study compared the index scope of Semantic Scholar to Google Scholar, and found that for the papers cited by secondary studies in computer science, the two indices had comparable coverage, each only missing a handful of the papers.
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Semantic Scholar is and always will be free and open for all to use. Were a product of the Allen Institute for AI, a non-profit, philanthropic institution founded by Paul G. Allen in 2014 to contribute to humanity through high-impact AI research and engineering.
We provide a free, reliable source of scholarly data for developers to build projects that accelerate scientific progress. The Semantic Scholar Academic Graph (S2AG) Dataset and APIs provide records for research papers published in all fields provided as an easy-to-use JSON archive.

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