Sociology

Connected Papers is a visual tool to help researchers and applied scientists find and explore papers relevant to their field of work.

Consensus is a search engine that uses AI to instantly extract, aggregate, and distill findings directly from scientific research.

Elicit is a research assistant using language models like GPT-3 to automate parts of researchers’ workflows. Currently, the main workflow in Elicit is Literature Review. If you ask a question, Elicit will show relevant papers and summaries of key information about those papers in an easy-to-use table.

Inciteful.xyz creates free and open tools to interactively search through academic literature.

Keenious analyzes an uploaded document with artificial intelligence, and returns a list of research articles and topics that are highly relevant to what your document is about.

Litmaps lets you visualise your key literature, iteratively expand your research, and notify you as new articles connect to your maps.

Knowledge maps provide an instant overview of a topic by showing the main areas at a glance, and documents related to each area. This makes it possible to easily identify useful, pertinent information.

ResearchRabbit is a research platform that enables you to discover and visualize relevant literature and scholars, create alerts for awesome newly-published papers, and share collections with colleagues and the world.

Ask simple questions and get reliable answers from the full-text of research articles.
We take your question and search across our database of over 1.2 billion Citation Statements (indexed from over 32 million full-text articles) to surface relevant answers. Get the information you need without worrying about ads, untrustworthy sources, or complicated academic search engines.

Semantic Scholar covers all STM and SSH disciplines including biology, medicine, computer science, geography, business, history, and economics. More than 200 million papers are sourced from partners such as PubMed, Springer Nature, Taylor & Francis, SAGE, Wiley, ACM, IEEE, arXiv, and Unpaywall.

In contrast to indexes and search engines that primarily base results on keyword frequency, Semantic Scholar uses natural language and machine learning techniques to “cut through the clutter” and find more relevant results.