CORE logo

CORE

A search engine and database aggregating hundreds of millions of open access research papers.

FreeProprietaryWeb

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About CORE

CORE (COnnecting REpositories) collects papers from repositories and journals around the world and lets you search over 452 million of them. It provides both metadata and full text, so many results can be read directly.

Beyond the search site, CORE offers APIs and datasets for machine access to its full-text corpus, which suits researchers doing text mining. It is run as a not-for-profit, community-governed open scholarly infrastructure committed to the POSI principles.

Strengths

  • Very large collection of open access papers
  • Full text as well as metadata
  • APIs and datasets for machine access
  • Run by a not-for-profit

Limitations

  • Limited to open access content
  • Search only; no AI summaries described in the research

Details

Pricing
FreeSearching is free; CORE is a not-for-profit service with additional offerings for institutions and industry.
License
Proprietary
Developer
CORE
Platforms
Web
How it runs
Web application
Account
Not required
Works offline
No
Best suited for
Researchers looking for freely readable academic papers
Last verified
Added
Sources

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Software that can replace CORE for an important use case, and what changes if you switch.

  • Google Scholar

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    Google Scholar covers all disciplines including paywalled work and case law, and adds alerts and author profiles, but it needs a Google account for those features.

  • Semantic Scholar

    A free, AI-powered search engine for scientific literature covering papers from all fields of science.

    Semantic Scholar indexes more than 238 million papers beyond open access, offers a public API and a browser extension, and adds the beta Semantic Reader.

  • The Lens

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    The Lens searches patents alongside scholarly literature, with built-in charts and shareable collections, and some features require a subscription.

  • Open Knowledge Maps

    A nonprofit visual search engine that builds topic maps of research literature.

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    Open Knowledge Maps is a nonprofit visual search engine that builds topic maps from metadata, covering datasets and software, not full text.

Similar software

Related functionality, not necessarily a direct replacement.

  • Inciteful

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  • Litmaps

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  • Elicit

    An AI research assistant that finds papers, summarizes findings and extracts data for literature reviews.

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  • Consensus

    An AI search engine for peer-reviewed literature that gives evidence-based answers drawn from papers.

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  • Paperlib

    An open-source desktop app for organizing academic papers, scraping their metadata and exporting references.

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