1. Highlight the portion of your query text you want the AI to focus on for its recommendations.
2. Use the Filters button at the top of your results list to filter results by:
- Variables related to content and access, including:
- Keywords (works more like a typical database search)
- Open-access content (includes options for various "levels" of open access)
- Articles within AI-defined "topics'
- Type of content (article, review, preprint, book, chapter, retraction, and more)
- Variables related to time and citedness, including:
- Year published
- Exact publication date
- Cited-by count
- FWCI (field-weighted citation impact)
- Where the work is indexed (PubMed, Directory of Open Access Journals, CrossRef, ArXiv)
- Variables related to people and sources, including:
- Authors
- Journals
- Conference
- Keywords or keyword combinations, using the "Text Search (AND, OR, NOT)" text entry box at the top of the list of filters
Keenious is constantly updating its filtering possibilities, so it's a good idea to look closely at the filters yourself. Last update to this page was July 7, 2025.
