Citrus is a similarity-based search engine for scientific literature: Select a paper, start the search and jump right to the heart of your research domain. Get an overview of important contributions from seminal papers to the state of the art.

Nice to meet you, Product Hunt! We are thrilled to launch 🍋 Citrus Search 🍋 a similarity-based search engine for scientific literature, built to make your literature review faster and easier. Searching for research with text queries can cumbersome: queries of just a couple of words are not a very high-fidelity signal, leading to lots of false positives in the search results. Also, you run the risk of missing papers which simply use different taxonomy than your query. This is where similarity-based search can be a great complement: select a paper you already know is relevant, and we take you right to the most closely related research. Citrus offers two ways to discover related work: - Citation Network: Finds papers with similar connections in the citation graph - Content: Finds papers with similar ideas in their abstract and title Behind the scenes, the similarity of papers is computed using graph and text-based machine-learning techniques. We'd love to hear your thoughts and feedback 💛

Citrus is a powerful tool for finding relevant scientific literature through similarity-based searches! I’m curious—will future updates allow users to customize search criteria, like focusing on specific keywords or narrowing results by publication year?

citrus search

Select a paper, explore related research

Select a paper, explore related research