Semantic Scholar

Semantic Scholar is an AI-driven search engine for academic papers, providing free and open resources to the global research community. It indexes over 200 million academic publications via publisher collaborations, data sources, and web crawls. The Allen Institute for Artificial Intelligence (AI2) established the initiative in 2015 to assist researchers in keeping up with reading all of the articles in their areas.

The purpose of Semantic Scholar is to automate learning from text to overcome information overload, and to provide more relevant and effective search results through artificial intelligence-powered methods that detect hidden relationships and connections between research topics. The platform saves users time by limiting the results, and provides a few hundred directly relevant search results, unlike Google Scholar and PubMed which often return tens of thousands of results. Semantic Scholar also removes the distraction caused by less relevant research.

Semantic Scholar is designed by researchers for researchers, with features such as full-text and mobile-enabled design to save time. The platform's mission is to renew a scientist's joy of discovery once again, by limiting the long tail of search results and enabling quick updates on disciplines. Semantic Scholar is a recent entrant to the field and provides a user-friendly interface for easy access to academic papers.

Website: https://www.semanticscholar.org/