Semantic Scholar

Semantic Scholar is a free, AI-powered academic search engine developed by the Allen Institute for AI (AI2). It indexes over 200 million papers across all scientific disciplines and uses machine learning to help researchers find and understand the most relevant work in their field.

The platform's AI capabilities go well beyond basic keyword search. TLDR (Too Long; Didn't Read) provides one-sentence AI-generated summaries for millions of papers, allowing you to quickly scan results without opening each paper. The citation graph feature maps how papers cite and are cited by others, helping researchers trace the lineage of ideas and find seminal works. Semantic Reader offers an augmented reading experience with inline definitions, citation context, and skimmable highlights.

Influential citations are distinguished from perfunctory ones using machine learning, so you can see which papers actually built upon a cited work rather than just mentioning it. The Research Feed learns your interests over time and surfaces new relevant papers automatically. Semantic Scholar also provides paper recommendations, author profiles with h-index metrics, and research trend tracking.

The platform offers a robust free API used by thousands of developers and researchers for bibliometric analysis and research tool development. With its commitment to being permanently free and open, Semantic Scholar has become essential infrastructure for the global research community, serving millions of researchers monthly.