⚡ Background Jobs
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Discover, analyze, organize, and synthesize scholarly literature seamlessly across multiple major academic databases. AI-powered semantic matching, automated relevance filtering, Scopus indexing tracking, and complete BibTeX export in one unified platform.
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Everything you need to conduct rigorous, structured systematic literature reviews
Query across OpenAlex, Crossref, ACM Digital Library, arXiv, Google Scholar, DOAJ, and Zenodo with unified date, keyword, and field filters.
Run background jobs with customizable similarity thresholds to automatically evaluate relevance against your study title and description.
Automatically detects and flags Scopus indexation status (Active, Accepted, Discontinued), source titles, and publication types for journal verification.
Manage independent research studies, preserve the exact search queries through which papers were discovered, and filter archive/saved papers by query.
Long-running batch operations run asynchronously in the background with real-time progress bars, auto-refreshing logs, and persistence across refreshes.
Export fully populated BibTeX/RIS references with authors, venue/journal, publication year & month, volume, issue, page ranges, DOIs, URLs, and abstracts.
Define your research topic with a title and detailed objective description.
Search scholarly databases or bulk filter existing archive papers using AI semantic relevance.
Verify Scopus indexation, inspect abstracts, and track query lineage across papers.
Download comprehensive BibTeX or RIS citation files ready for LaTeX and reference managers.