Keenious uses your own document or text as the search query to find relevant academic papers. Users paste their research writing, notes, or questions and Keenious searches academic literature to find papers most relevant to what they're working on, without requiring keyword construction. The tool understands semantic meaning rather than matching keywords.
Researchers and academics use Keenious to discover literature they didn't know to search for. The approach of searching from your own writing is particularly powerful for interdisciplinary research -- topics that don't have established keyword vocabularies but do have semantically related literature. It also surfaces papers from adjacent fields that might not appear in a keyword-based search.
Keenious integrates with Google Docs, Word, and Overleaf as plugins, letting researchers search for relevant literature directly within their writing environment. The contextual discovery approach is designed for researchers who are already in writing mode and want literature suggestions based on what they're writing, not what they can think to search for.
What the community says
Keenious is recommended in r/academia and r/PhD for the unique document-based search approach that surfaces non-obvious literature. Researchers doing interdisciplinary work find it particularly valuable for discovering papers they wouldn't have thought to search for directly. Based on community discussions from Reddit and academic forums.
Join the discussion on Reddit →
Similar Tools in Research & Science