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Scientific literature search

citrus search

Similarity-based search engine for scientific literature, using machine learning to find related papers.

Source rating 5.0 (88) 356 views 356/mo traffic 0 saves Unknown
Scientific literature search Similarity search Citation analysis
More categories (5)
Machine Learning Research Semantic Scholar Open Research Corpus Academic search engine
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Similarity-based search engine for scientific literature, using machine learning to find related papers
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Similarity-based search engine for scientific literature, using machine learning to find related papers

Overview

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.

citrus search screenshot

Access & connections

Where you can use citrus search.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Similarity-based search for scientific literature
  • Citation network analysis
  • Content-based similarity analysis
  • Timeline view of important contributions

FAQ 5

What is Citrus?
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.
How to use Citrus?
1. Select a seed paper. 2. Start the search (or add additional seed papers first). 3. Get an overview of closely related work.
What is Citrus?
Citrus is a similarity-based search engine for scientific literature that helps you find closely related publications based on a seed paper.
How does Citrus work?
You choose a seed paper, and Citrus returns closely related publications based on the similarity measure you select (Citation Network or Content). The similarity is computed using graph and text-based machine-learning techniques.
What data does Citrus use?
Citrus indexes data provided by Semantic Scholar's Open Research Corpus, which spans over 200 Million publications and around 2 Billion citations.
citrus search
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