Search from a study topic and description
Enter a study topic of 2 to 30 words and, if you like, a description of 5 to 400 words covering the context, methods, or populations you care about. The AI research paper finder turns them into a search query, so you do not need to write Boolean syntax. Optional filters for publication year, publication type, field of study, journal quartile, open access, minimum citations, author, and source journal narrow the search before it runs.
Results labeled by relevance
Records that an AI model judged against your topic are labeled Relevant or Partially Relevant, and further records ranked without that judgment are labeled Ranked. Each card shows authors, year, source, an abstract where available, citation count, Scimago quartile, open access status, and publication type. View Details adds the publication date, DOI, field of study, and authors, and flags a record marked as retracted.
Filter, sort, and export the result set
A Filter & Sort panel narrows the loaded results by keyword, relevance, author, publication type, field, source, quartile, year, citation count, and open access, and sorts them by relevance, date, or citations. Export the filtered view or every result as a CSV file with titles, authors, sources, abstracts, citation counts, quartiles, DOIs, and relevance labels. Past searches stay in your search history.