Question: I'm looking for a solution that can help me analyze large datasets and generate summaries with citations - do you know of any tools that can do this?

For summarizing big research papers and summarizing them with citations, Semantic Scholar is a great option. The AI-powered research service indexes more than 219 million scientific papers, offers short summaries (TLDRs) and citation tools, and has AI-powered research feeds, paper recommendations and a research activity dashboard. Semantic Scholar is free and open, so researchers and developers can use it.

Another good option is Epsilon, an AI-powered search engine designed to speed up scientific discovery. It offers tools like Investigate for summarized answers with inline citations, Search for organizing publications, Validate for assessing claims, and Synthesize for longer summaries. Epsilon is geared for academic research, with more than 30,000 users around the world, and offers several pricing levels for different needs.

Scholarcy is geared for academic papers, letting you convert dense documents into interactive summary flashcards and import lots of file formats. It also offers custom summaries, note-taking and literature matrices that can help you get more out of your research. Scholarcy is available in free and paid versions, so students and researchers can use it.

For a more complete writing assistant, Doclime automates everything from finding relevant literature to writing research papers. It includes tools for brainstorming, semantic searches and an AI writing assistant. Doclime is designed to help academics get past writer's block and meet deadlines, with an interface that's designed to be easy to use and a range of tools to make the research paper writing process as easy as possible.