Deep in a research rabbit hole and worried you're missing important papers? Citrus is a similarity-based search engine for scientific literature that helps you find exactly what you need — fast. Select a paper, start the search, and jump straight to the heart of your research domain, from seminal works to the latest state-of-the-art contributions.
Citrus lets you explore closely related research, view important contributions at a glance on a timeline, and avoid the blind spots that come with relying on a single taxonomy. Behind the scenes, it uses graph and text-based machine learning techniques to compute paper similarity, drawing on data from Semantic Scholar's Open Research Corpus — spanning over 200 million publications and around 2 billion citations. Comprehensive coverage, without the manual legwork.

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