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Citrus is a similarity-based search engine for scientific literature. You 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. Citrus helps you find relevant articles in a research field with a single search. It allows you to explore closely related research, find relevant work fast, view important contributions at a glance on a timeline, and avoid missing papers using different taxonomy. Behind the scenes, the similarity of papers is computed using graph and text-based machine-learning techniques. Citrus indexes data provided by Semantic Scholar's Open Research Corpus, which spans over 200 Million publications and around 2 Billion citations.

This browser extension enhances the National Library of Norway's (nb.no) search functionality by integrating the Maken similarity service. It adds a "Lignende gjenstander" ("Similar items") button to each result in the books and images categories. Clicking this button opens a section at the bottom of the screen displaying similar items, providing links to related items for further inspection. This offers a new discovery tool developed by the AI Lab at the National Library of Norway, all within the main library website.