Microsoft Academic is a free public search engine for academic publications and literature. It uses machine learning, semantic search, and knowledge discovery techniques to help users find relevant research papers, authors, conferences, journals, and topics. The site covers a wide range of disciplines, including computer science, physics, biology, chemistry, mathematics, engineering, and social sciences. It provides citation graphs, author profiles, topic trends, and other tools to facilitate research and collaboration.
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English, etc
Understands the meaning behind queries to deliver more relevant results.
Visualizes the citation relationships between papers to help understand research impact.
Provides detailed profiles of authors, including their publications, citations, and co-authors.
Shows the popularity and evolution of research topics over time.
Offers rankings and metrics for conferences and journals based on citation impact.
Allows users to filter search results by various criteria, such as publication year, author, and journal.
Integrates with Microsoft's Knowledge Graph to enhance search results with related entities and concepts.
Provides API access for developers to integrate Microsoft Academic data into their applications.
Microsoft Research
Originally launched as Microsoft Academic Search in 2006, it was rebranded and relaunched in 2016.
Aggregates data from various sources, including publishers, digital libraries, and web crawls.
Utilizes advanced machine learning models to extract and understand information from academic texts.
Used by researchers, students, and academics worldwide to discover and access scholarly content.
Free to use with no subscription required, making academic research more accessible to everyone.
Security headers report is a very important part of user data protection. Learn more about http headers for academic.microsoft.com