Question: I need a solution that can help me visualize conceptual relationships between research papers, do you know of any tools that can do that?

Semantic Scholar is a powerful AI-based research service with a large database of more than 219 million papers across many scientific fields. It lets you categorize papers with folders, set up AI-powered research feeds and track research with a dedicated dashboard. You can also use the Academic Graph API to bring those features to your own projects, so it's a good tool for researchers.

Another good option is OpenRead, which has access to more than 300 million papers and indexes them in real time from more than 20,000 journals. It comes with features like Related Paper Graph that shows connections between papers and Paper Espresso that summarizes their content. Those tools are designed to keep you current with the latest research and to help you work more efficiently.

If you prefer something more interactive, Unriddle offers an AI assistant designed to help you read and research documents more effectively. It can automatically link related sources, create interactive graphs to show connections, and handle more than 90 languages. That can be useful for researchers who need to quickly understand and extract information from lots of documents.

Finally, StudyRecon offers a landscape view that can give you a broader perspective on a topic and show key findings. It also offers keyword visualizations to help you spot conceptual connections and summarization tools to get a quick look at paper summaries. That can be useful for getting a quick look at research topics and avoiding the need to read every paper word for word.