Citrus Search

Active

Tagline:Get an overview of relevant articles in a research field with a single search

Updated:September 10, 2026

Domain Rating:

Social Media:

AI Research Papers AI Research Tools AI Search Engine Research & Data Analysis AI Knowledge Base Free Web App Cloud-based Zero Setup For Students Real-time

Open Website

Visit Website

What is Citrus Search?

Citrus is a similarity-based search engine for scientific literature. You choose a seed paper and it returns closely related publications using graph-based citation networks and text-based machine-learning techniques. It indexes data provided by Semantic Scholar Open Research Corpus spanning over 200 million publications and 2 billion citations.

How to use Citrus Search?

1. Search for and select a seed paper by title, DOI, author, or keyword. 2. Choose a similarity model: Citation Network (similarity in citation connections) or Content (similarity in abstract and title concepts). 3. Explore closely related publications on an interactive timeline or cluster view, and inspect key contributions without text-search false positives.

Citrus Search Core Features

Citation Network Similarity

Finds related papers with similar connections across the citation network using graph-based machine-learning techniques.

Content-Based Semantic Search

Discovers publications exploring similar concepts, ideas, and research questions in their abstract and title.

Interactive Timeline and Cluster Views

Visualizes important research contributions across publication years at a glance to avoid false positives and missed literature.

Semantic Scholar Open Research Corpus

Indexes over 200 million scientific publications and approximately 2 billion citations from Semantic Scholar.

Citrus Search Use Cases

Conduct comprehensive literature reviews for academic dissertations, thesis research, and peer-reviewed papers.

Identify relevant prior art and seminal works that keyword searches miss due to differing terminology.

Explore research field evolution and citation lineages across publication years on an interactive visual timeline.

Citrus Search Frequently Asked Questions

How does Citrus find related scientific papers?

Citrus is a similarity-based search engine. After you select a seed paper, it evaluates relationships using graph-based citation networks and text-based semantic embeddings to uncover closely related research.

What scientific dataset does Citrus index?

Citrus indexes the Semantic Scholar Open Research Corpus, covering more than 200 million publications and around 2 billion citations.

What is the difference between Citation Network and Content similarity?

Citation Network similarity finds papers sharing citation links in the literature graph, whereas Content similarity finds papers addressing similar concepts and questions in their titles and abstracts.