CiteSeerX
The pioneer of autonomous citation indexing for computer and information science research.

The global gold-standard repository for verified, peer-reviewed open access research metadata.
DOAJ (Directory of Open Access Journals) serves as a critical infrastructure component in the 2026 AI research landscape, acting as a primary, high-integrity data source for Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) fine-tuning. Unlike generalized web crawlers, DOAJ provides structured, machine-readable metadata for over 20,000 peer-reviewed journals across all disciplines. Its technical architecture is designed for interoperability, utilizing the OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting) and a robust RESTful JSON API. This allows AI solutions architects to programmatically ingest verified scientific data while bypassing the 'noise' and hallucinations often found in unvetted datasets. In 2026, DOAJ's 'Seal' of quality remains the industry benchmark for identifying journals that adhere to best practices in open access publishing, including high standards of peer review and digital preservation. For developers, DOAJ offers a bypass to paywalled academic silos, providing direct links to full-text articles that are legally accessible for indexing, making it an essential utility for building specialized scientific AI agents and automated bibliometric analysis tools.
Supports the Open Archives Initiative Protocol for Metadata Harvesting for large-scale data synchronization.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A metadata flag indicating journals that achieve high levels of openness and ethical standards.
The API supports complex Boolean queries and multi-field filtering via Elasticsearch syntax.
Indexing support for over 80 languages within the metadata schema.
Includes data on APCs (Article Processing Charges), licensing (CC BY), and archiving policies.
Direct URI mapping to the publisher's PDF or HTML landing page.
Capability to export thousands of results in a single structured JSON response.
AI hallucinations caused by unverified or paywalled training data.
Registry Updated:2/7/2026
Local library catalogs lacking up-to-date open access article metadata.
Researchers inadvertently submitting to or citing low-quality publications.