These tools use machine-learning (ML) or generally advanced computing to find connections between papers, even if those papers do not directly cite each other.
Semantic Scholar uses AI to search over 200 million papers without relying solely on keyword matching. It also provides AI-generated summaries (in addition to abstracts), notes highly influential papers, and provides references and citing articles directly in the search interface.
Many of the other tools in this guide draw their sources from Semantic Scholar's database.
Semantic Scholar is totally free to use.
Learn more about how Semantic Scholar works.
With Inciteful, you can search for a specific paper to begin creating a force-directed graph of papers (drawn from Semantic Scholar) that cite or have been cited by that paper. Inciteful uses algorithms to give greater weight to papers determined to be more influential or similar to your original paper.
Inciteful is totally free to use.
Learn more about how Inciteful works.
Sort of like Spotify for research. As you add papers to your collection, ResearchRabbit will try to provide you with more papers similar to what you've saved.
ResearchRabbit is totally free to use.
Learn more about how ResearchRabbit works.
Litmaps' most basic function is to use importance and similarity ranking algorithms to create a force-directed graph of the top 20 papers that cite or are cited by a paper you search for.
Litmaps' basic features are free, but some features are only available with a paid premium account.
Learn more about how Litmaps works.
Users can search keywords or for a specific paper, and Connected Papers creates a force-directed graph showing how that paper connects to other research (drawn from Semantic Scholar), even among papers that don't cite each other.
Free users are limited to 5 graphs per month (as of June 2023). Users can create a paid account for unlimited graphs.
Learn more about how Connected Papers works.
