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Citrus is a similarity-based search engine for scientific literature. You select a paper, initiate a search, and dive directly into the core of your research domain. It provides an overview of key contributions, ranging from seminal papers to the latest developments. Citrus helps you identify relevant articles within a research field through a single search. It allows you to explore closely related research, find relevant work quickly, view important contributions on a timeline, and avoid missing papers that use different taxonomies. The similarity between papers is calculated using graph and text-based machine learning. Citrus indexes data from the Semantic Scholar Open Research Corpus, which covers over 200 million publications and approximately 2 billion citations.
1. Select a seed paper. 2. Start the search (or add additional seed papers first). 3. Review the overview of closely related research.
Citrus is a similarity-based search engine for scientific literature designed to help you find closely related publications based on a seed paper.
After you select a seed paper, Citrus returns related publications based on your chosen similarity measure, such as Citation Network or Content. These similarities are calculated using graph and text-based machine learning techniques.
Citrus indexes data from the Semantic Scholar Open Research Corpus, which contains over 200 million publications and approximately 2 billion citations.
Free plan available.
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