Connected Papers: A Visual Tool for Research Exploration
Connected Papers is an online platform designed to help researchers find and explore academic papers more efficiently.
With a seamless user experience and a wide range of academic disciplines, it provides a valuable resource for discovering related papers.
Connected Papers helps researchers stay up-to-date with the latest research by providing a platform that analyzes a large number of citations.
This ensures that users are aware of the most recent and relevant papers in their field.
How can Connected Papers help you?
- Get a visual overview of a new academic field. Enter a typical paper and Connected Papers will build you a graph of similar papers in the field. Explore and build more graphs for interesting papers that you find – soon you’ll have a real, visual understanding of the trends, popular works and dynamics of the field you’re interested in.
- Make sure you haven’t missed an important paper. In some fields like Machine Learning, so many new papers are published it’s hard to keep track. With Connected Papers you can just search and visually discover important recent papers. No need to keep lists.
- Create the bibliography for your thesis. Start with the references that you will want in your bibliography and use Connected Papers to fill in the gaps and find the rest!
- Discover the most relevant prior and derivative works. Use our Prior Works view to find important ancestor works in your field of interest. Use our Derivative Works view to find literature reviews of the field, as well as recently published State of the Art that followed your input paper.
How does it work?
Connected Papers uses the Semantic Scholar database which contains hundreds of millions of papers from all fields of science.
It analyzes an order of ~50,000 papers and selects the few dozen with the strongest connections to the origin paper.
It then builds a Force Directed Graph to distribute the papers in a way that visually clusters similar papers together and pushes less similar papers away from each other.
Connected Papers is not a citation tree. Its similarity metric is based on the concepts of Co-citation and Bibliographic Coupling.
According to this measure, two papers that have highly overlapping citations and references are presumed to have a higher chance of treating a related subject matter.
Use Cases
- Literature Review: Researchers can use Connected Papers to conduct a thorough literature review by visually exploring and discovering crucial academic works in their field of interest.
- Bibliographic Review: The tool can be utilized for constructing references and identifying additional work that complements a researcher’s ongoing research or academic article.
- Science Mapping: Connected Papers supports science mapping, enabling users to visualize the relationships between different research topics and identify potential collaborators or funding sources.
Pros
- Visual Overview: Offers a visual overview of a research field through connected graphs, simplifying the process of exploring and understanding academic works.
- Bibliographic Review: Helps in conducting a thorough literature review and constructing references for academic articles or theses.
- Cross-Disciplinary Support: Supports hundreds of millions of papers from all fields of science, thanks to the Semantic Scholar database.
- Customization: Offers customization options for filtering results based on various criteria such as keywords, authors, and publication dates.
Cons
- Requires JavaScript: The tool may not work properly without JavaScript enabled.
Best Suits For
Connected Papers is best suited for researchers and applied scientists looking to discover and explore academic papers in their field.
The tool’s visual interface, customization options, and science mapping features make it a versatile and user-friendly resource for conducting research and identifying potential collaborators or funding sources.