citrus search

Overview

Find relevant scientific papers using AI-powered similarity and citations.

Citrus Search is a specialized search engine designed for navigating scientific literature efficiently. Users can locate relevant research papers quickly by entering text queries, reducing the occurrence of false positives common in general searches. The tool offers a unique overview of key contributions within a timeline, ensuring that important work is not overlooked.

Citrus Search enhances the research experience by utilizing similarity-based algorithms to return closely related publications, which can be filtered by citation networks or thematic content. Powered by Semantic Scholar's extensive corpus of over 200 million publications and 2 billion citations, Citrus Search ensures comprehensive coverage of scientific literature.

Use Cases

• Quickly locate relevant research papers for your academic projects by entering specific text queries into Citrus Search, minimizing the distractions of irrelevant results from general search engines..
• Utilize Citrus Search's timeline feature to gain a clear overview of key contributions and milestones in your field of study, ensuring you stay informed of important research developments..
• Enhance your literature review process by applying similarity-based algorithms in Citrus Search to discover closely related publications, which can be further filtered by citation networks for in-depth analysis of themes and trends..

Who Is It For

• Researchers
• Scientists
• Academics
• Students
• Librarians