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academic.microsoft.com Search Engine Academic Research Literature Machine Learning Semantic Search

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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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  • Domain Rating

  • Domain Authority

  • Citation Level

Founded in

2016

Supported Languages

English, etc

Key Features of the Site

Semantic Search

Understands the meaning behind queries to deliver more relevant results.

Citation Graph

Visualizes the citation relationships between papers to help understand research impact.

Author Profiles

Provides detailed profiles of authors, including their publications, citations, and co-authors.

Topic Trends

Shows the popularity and evolution of research topics over time.

Conference and Journal Rankings

Offers rankings and metrics for conferences and journals based on citation impact.

Advanced Filters

Allows users to filter search results by various criteria, such as publication year, author, and journal.

Knowledge Graph Integration

Integrates with Microsoft's Knowledge Graph to enhance search results with related entities and concepts.

API Access

Provides API access for developers to integrate Microsoft Academic data into their applications.

Additional information

Parent Organization

Microsoft Research

Original Launch

Originally launched as Microsoft Academic Search in 2006, it was rebranded and relaunched in 2016.

Data Sources

Aggregates data from various sources, including publishers, digital libraries, and web crawls.

Machine Learning Models

Utilizes advanced machine learning models to extract and understand information from academic texts.

User Base

Used by researchers, students, and academics worldwide to discover and access scholarly content.

Accessibility

Free to use with no subscription required, making academic research more accessible to everyone.

HTTP headers

Security headers report is a very important part of user data protection. Learn more about http headers for academic.microsoft.com