citrus search

A powerful similarity-based search engine for scientific literature that leverages machine learning to identify related research papers quickly and accurately.

Visit Site

AI Research Tool AI Search Engine AI Research Papers AI For Data Analytics

About citrus search

Citrus is an advanced search engine designed to find related scientific publications through content and citation analysis. By selecting a key paper, users can explore related research efficiently, gaining insights into important contributions and the latest developments in their field. Citrus visualizes research trends over time and helps uncover relevant papers that may be overlooked by traditional search methods. Its core technology uses graph-based and text-based machine learning to measure the similarity between publications. Powered by Semantic Scholar's Open Research Corpus, Citrus indexes over 200 million articles and approximately 2 billion citations, making it a comprehensive tool for scientific exploration.

How to Use

1. Choose a seed paper relevant to your research. 2. Initiate the search or add additional seed papers for broader results. 3. Review related publications and research trends quickly.

Features

Content and citation-based similarity analysis

Visualization of research timelines

Exploration of related scientific articles

Machine learning-powered relevance ranking

Use Cases

Discovering research papers similar to a key publication

Gaining a comprehensive overview of a research area

Identifying relevant work that traditional searches may miss

Best For

ResearchersAcademic professionalsScientistsGraduate studentsResearch institutions

Pros

Indexes an extensive database of scientific publications

Provides visual timelines of key research contributions

Utilizes advanced machine learning to assess paper similarity

Enables discovery beyond keyword searches

Cons

Results depend on the chosen similarity method (citation or content-based)

Requires selecting an initial seed paper to begin the search

Ongoing development may introduce occasional bugs

Frequently Asked Questions

Find answers to common questions about citrus search

What is Citrus?

Citrus is a scientific literature search engine that finds related papers based on content and citation similarity, streamlining research discovery.

How does Citrus determine related papers?

It uses machine learning algorithms analyzing citation networks and textual content to identify papers closely related to your seed publication.

What sources does Citrus use for data?

Citrus indexes publications from Semantic Scholar's Open Research Corpus, which includes over 200 million research articles and approximately 2 billion citations.

Can I explore research trends with Citrus?

Yes, Citrus provides timeline views of significant research contributions, helping you track developments over time.

Is Citrus suitable for students and researchers?

Absolutely, it is designed to assist students, researchers, and academics in discovering relevant scientific literature efficiently.