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Introduction:
Citrus is a similarity-based search engine designed for scientific literature. By selecting a seed paper, you can quickly navigate to the core of your research domain and gain an overview of key contributions, from seminal works to current state-of-the-art developments. Citrus enables you to explore related research, locate relevant articles efficiently, visualize important contributions on a timeline, and discover papers that might be overlooked by traditional taxonomies. The platform calculates paper similarity using graph and text-based machine learning, indexing data from the Semantic Scholar Open Research Corpus, which includes over 200 million publications and approximately 2 billion citations.
Citrus Product Information
What is Citrus?
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.
How to use Citrus?
1. Select a seed paper. 2. Start the search (or add additional seed papers first). 3. Review the overview of closely related research.
Citrus's Core Features
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Similarity-based search for scientific literature
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Citation network analysis
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Content-based similarity analysis
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Timeline view of important contributions
Citrus Use Cases
#1
Identifying closely related research papers based on a specific seed paper.
#2
Obtaining an overview of key contributions within a specific research field.
#3
Discovering relevant papers that might be missed by traditional text-based search methods.
FAQ from Citrus
What is Citrus? +
Citrus is a similarity-based search engine for scientific literature designed to help you find closely related publications based on a seed paper.
How does Citrus work? +
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.
What data does Citrus use? +
Citrus indexes data from the Semantic Scholar Open Research Corpus, which contains over 200 million publications and approximately 2 billion citations.
Citrus Pricing
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