Semantic Scholar

Semantic Scholar is a free academic search engine that indexes papers, authors, and institutions, providing features like citation metrics, paper recommendations, and a knowledge graph to facilitate discovery and exploration of academic literature.

Semantic Scholar indexes a vast corpus of academic papers, theses, and dissertations from various fields, including but not limited to computer science, physics, biology, medicine, and social sciences, sourced from reputable publishers and repositories.

The platform employs a ranking system based on the papers' relevance, citation counts, and other metrics, allowing users to quickly identify influential and highly cited research in their area of interest.

While Semantic Scholar does not directly host or provide downloadable copies of papers, it offers links to external sources, such as arXiv, DOAJ, or authors' personal websites, where papers might be available for download, depending on the authors' or publishers' policies.

Yes, users can create a free account, which enables features like saving papers and authors to a personal library, setting up alerts for new papers from specific authors or topics, and receiving personalized recommendations.

Semantic Scholar's database is continuously updated, with new papers and metadata added daily, and the algorithmic models re-trained regularly to ensure the accuracy and relevance of search results and recommendations.

While Semantic Scholar is primarily intended for academic and educational use, commercial entities can utilize the data and API, subject to specific terms and conditions, which can be found on the website or by contacting the support team.

The platform's codebase is not entirely open-source; however, certain components, such as the academic paper parser, are open-sourced, and the development team actively contributes to and participates in relevant open-source initiatives.