Citrus Search

Citrus Search is an innovative, similarity-based search engine specifically designed for scientific and academic literature. It offers a powerful alternative to traditional keyword-based search engines, which often return numerous irrelevant results. By leveraging the concept of a "seed paper," Citrus Search allows researchers, students, and academics to dive deep into a specific research topic with unparalleled precision. You start with one or more highly relevant papers, and the AI engine explores the vast academic landscape to find the "juiciest" and most closely related publications. This approach is built on a massive dataset provided by Semantic Scholar's Open Research Corpus, which encompasses over 200 million publications and 2 billion citations, ensuring comprehensive and up-to-date results.

How to use Citrus Search

Using Citrus Search is an intuitive three-step process designed for maximum efficiency:

1. Select a Seed Paper: Begin by identifying a "seed paper" that is central to your research interest. This could be a foundational paper in your field, a recent breakthrough article, or any publication that you find highly relevant. You can search for this paper directly within the Citrus Search interface.
2. Initiate the Search: Once you've selected your seed paper, simply start the search. For more refined and targeted results, you have the option to add multiple seed papers. This tells the engine to find work that lies at the intersection of the topics covered by your selected papers.
3. Explore the Results: Citrus Search presents the results in an insightful and easy-to-digest format. You get a clear overview of closely related work, often visualized on a timeline to show the evolution of research in that area. You can then explore these papers, find new potential seed papers, and iteratively deepen your understanding of the literature.

Core Features of Citrus Search

• Similarity-Based Search: Moves beyond keywords to understand the true relationships between papers, resulting in highly relevant search results.
• Dual Similarity Metrics: Users can choose between two powerful analysis methods:
  • Citation Network: Finds papers that share similar connections within the academic citation graph (i.e., papers that are cited by similar articles or cite similar articles).
  • Content Similarity: Utilizes natural language processing (NLP) to analyze the abstract and title, finding papers with similar concepts, research questions, and ideas, even if they use different terminology.
• Seed Paper Methodology: Anchors the search around a known-good paper, ensuring all results are contextually relevant to the user's specific interest.
• Timeline Visualization: Presents important related contributions on a chronological timeline, allowing users to quickly grasp the historical development and key milestones of a research topic.
• Massive Data Corpus: Powered by the Semantic Scholar Open Research Corpus, providing access to over 200 million papers across virtually all scientific disciplines.
• Multi-Seed Search Capability: Allows for the combination of multiple seed papers to narrow the search and find research at the intersection of different ideas or fields.

Use Cases for Citrus Search

Citrus Search is an invaluable tool for various academic and research tasks:

• Comprehensive Literature Reviews: PhD students and researchers can significantly accelerate the process of conducting a literature review. Starting with a few key papers, they can quickly build a comprehensive map of the relevant research landscape.
• Exploring New Research Areas: When venturing into a new field, researchers can use a seminal paper to get up to speed on the most important contributions, key authors, and dominant theories.
• Overcoming Keyword Limitations: The tool is perfect for finding relevant papers that use different jargon or taxonomy. The content-based similarity search ensures that conceptual links are discovered, not just keyword matches.
• Grant and Paper Writing: While preparing a new manuscript or grant proposal, researchers can use Citrus Search to ensure they haven't missed any critical related work and to properly position their contribution within the existing literature.
• Staying Current: By using a recent, high-impact paper as a seed, users can discover the very latest articles that are building upon, or responding to, that work.

Advantages of Citrus Search

• Enhanced Precision: Drastically reduces the "noise" and false positives associated with keyword searches, saving valuable time.
• Efficient Discovery: Provides a "shortcut" to the most relevant literature, streamlining the research process.
• Deeper Insights: Uncovers hidden connections and related work that might be missed by conventional search tools.
• Contextual Understanding: The timeline view and network-based approach help users understand not just *what* papers are relevant, but *how* they are related and have influenced each other over time.
• Free and Accessible: As a tool under active development and built on open data, it is available for free, making advanced research capabilities accessible to everyone.

Pricing and Plans

Citrus Search is currently available to use completely free of charge. The project is under active development, and the creators encourage user feedback to help improve the service.