What is Citrus Search
Citrus Search is a cutting-edge similarity-based search engine designed specifically for scientific literature. It allows researchers and academics to explore closely related publications by selecting a seed paper and leveraging advanced machine-learning techniques to identify papers with similar content or citation networks. This tool is invaluable for those looking to find relevant work quickly and efficiently, avoiding the pitfalls of traditional text-based queries that often yield many false positives.
Features of Citrus Search
-
Seed Paper Selection: Users can choose a seed paper to initiate their search, or add additional seed papers to refine their results.
-
Similarity Measures: Citrus offers two primary similarity measures:
-
Citation Network: Finds papers with similar connections in the citation network.
-
Content: Identifies papers with similar concepts, ideas, and research questions based on their abstracts and titles.
-
-
Machine-Learning Techniques: Behind the scenes, Citrus uses graph and text-based machine-learning techniques to compute the similarity of papers.
-
Comprehensive Overview: Provides a timeline view of important contributions, ensuring users don't miss any relevant work.
-
Data Indexing: Powered by Semantic Scholar's Open Research Corpus, which spans over 200 million publications and around 2 billion citations.
How to use Citrus Search
-
Select a Seed Paper: Begin by choosing a paper that serves as the starting point for your search.
-
Start the Search: Initiate the search to get an overview of closely related work. You can also add additional seed papers to refine your results.
-
Review the Overview: Once the search is complete, review the timeline view to understand the important contributions and related papers at a glance.
Pricing of Citrus Search
Citrus Search is currently available as a free service, leveraging the extensive data provided by Semantic Scholar's Open Research Corpus. There are no costs associated with using the platform, making it accessible to researchers and academics worldwide.
Useful tips for using Citrus Search
-
Multiple Seed Papers: To get a more comprehensive overview, consider using multiple seed papers that cover different aspects of your research area.
-
Explore Both Similarity Measures: Experiment with both the Citation Network and Content similarity measures to discover different facets of related research.
-
Regular Updates: Since the platform is under active development, regularly check for updates and new features that could enhance your search experience.
Frequently asked questions about Citrus Search
What is a seed paper?
A seed paper is the initial paper you select to start your search. Citrus uses this paper to find closely related publications.
How does Citrus determine similarity?
Citrus determines similarity using two primary measures: Citation Network and Content. The former looks at citation connections, while the latter analyzes abstract and title content.
Is Citrus Search free to use?
Yes, Citrus Search is currently a free service, powered by Semantic Scholar's Open Research Corpus.
Can I add more than one seed paper?
Absolutely. Adding multiple seed papers can help refine your search results and provide a more comprehensive overview of related work.
How often is the data updated?
The data is updated regularly, thanks to Semantic Scholar's continuous indexing of new publications and citations.