Semantic Scholar is an artificial intelligence–powered research tool for scientific literature developed at the Allen Institute for AI and publicly released in November 2015. It uses advances in natural language processing to provide summaries for scholarly papers. The Semantic Scholar team is actively researching the use of artificial-intelligence in natural language processing, machine learning, Human-Computer interaction, and information retrieval. Semantic Scholar began as a database surrounding the topics of computer science, geoscience, and neuroscience. However, in 2017 the system began including biomedical literature in its corpus. As of September 2022, they now include over 200 million publications from all fields of science. More information...

According to PR-model, is ranked 11th in multilingual Wikipedia, in particular this website is ranked 8th in English Wikipedia.

The website is placed before and after in the BestRef global ranking of the most important sources of Wikipedia.

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