AI Research Article Recommendations

Introducing Keenious, a powerful AI tool revolutionizing the way we discover relevant research articles across languages. Seamlessly integrating with Microsoft Word and Google Docs, Keenious offers users easy access to the most pertinent research while they work. With just three simple steps, users can unlock a vast world of knowledge. First, select your document. Second, Keenious analyzes your content by comparing it to millions of scientific publications. Finally, it provides a comprehensive list of recommended research articles and topics. This incredible tool offers unique features including highlight search, allowing users to customize recommendations based on specific sections of their document. Additionally, advanced filtering options enable users to tailor recommendations to their preferences. Keenious also offers fast and efficient referencing, instant citation generation, recommendations for similar articles, and smart bookmarks. Students, researchers, and librarians alike will find Keenious invaluable in their quest for valuable resources and insights, expanding their research process, and providing unparalleled recommendations to patrons. What sets Keenious apart is its highly unique results compared to traditional search engines and its robust dataset of over 50 million scholarly papers. It is equally effective for universities and companies with robust R&D departments. Keenious prioritizes user privacy by not storing any text used for recommendations. Overall, it empowers users to discover more relevant research, find inspiration while writing, and break out of their knowledge bubbles. Keenious - revolutionizing the world of AI research article recommendations.