Semantic Scholar | AI-Powered Research Tool
Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant research.
Semantic Scholar is a free, AI-powered research tool for scientific literature, developed at the Allen Institute for AI. It helps researchers discover and understand scientific papers more efficiently by leveraging machine learning to analyze and extract key information from millions of research papers.
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4.5 page per visit
35%
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Domain Rating
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Domain Authority
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Citation Level
2015
English, etc
Key Features of the Site
AI-Powered Search
Utilizes advanced AI algorithms to provide more relevant search results by understanding the context of queries.
Citation Analysis
Offers detailed citation graphs and metrics to help users understand the impact and relevance of papers.
Paper Recommendations
Provides personalized paper recommendations based on user's reading history and interests.
Research Feeds
Customizable feeds that keep users updated with the latest research in their field of interest.
Visual Abstracts
Summarizes key findings of papers through visual abstracts, making it easier to grasp complex information quickly.
Author Profiles
Detailed profiles of authors, including their publications, citation metrics, and co-authors.
Dataset Search
Enables users to find and access datasets relevant to their research interests.
Open Access Filter
Allows users to filter search results to only show open access papers.
Mobile App
Provides a mobile application for iOS and Android, enabling users to access Semantic Scholar on the go.
API Access
Offers API access for developers to integrate Semantic Scholar's data and features into their own applications.
Similar Sites and Competitors to semanticscholar.org
Additional information
Developer
Allen Institute for AI
Funding
Supported by grants and donations, with contributions from various organizations and individuals interested in advancing AI research.
User Base
Used by researchers, academics, and students worldwide to access and analyze scientific literature.
Data Sources
Aggregates data from a wide range of sources, including publishers, preprint servers, and institutional repositories.
Impact
Semantic Scholar has significantly improved the efficiency of literature review and research discovery processes, making it a valuable tool for the scientific community.
HTTP headers
Security headers report is a very important part of user data protection. Learn more about http headers for semanticscholar.org