Elicit (by Ought)
Link: elicit.org
An AI-driven research assistant specifically designed for academic literature discovery and review. It automatically finds relevant papers, summarizes key insights, extracts evidence-backed claims, and streamlines the synthesis of complex literature, significantly accelerating systematic reviews and scholarly writing.
SciSpace (Deep Review)
Link: typeset.io
SciSpace’s Deep Review is an AI-powered writing tool that enhances literature reviews by automatically drafting coherent narratives, identifying gaps, suggesting missing citations, and improving logical structure and readability. Ideal for graduate students refining manuscripts, theses, and detailed literature review sections.
Research Rabbit
Link: researchrabbit.ai
An intuitive visual research exploration platform that reveals connections between academic papers, authors, and emerging topics. It enables researchers to visually navigate citation networks, track scholarly trends, and comprehensively map research landscapes, enhancing discovery and collaboration.
Litmaps
Link: litmaps.com
Litmaps provides interactive, citation-driven visual maps of how research topics evolve over time. By tracking influential papers and citations forward and backward through academic literature, it helps graduate students identify critical insights, emerging research paths, and important scholarly connections.
PubTator 3.0
Link: pubtator.ncbi.nlm.nih.gov
PubTator is an AI-powered biomedical text-mining tool that automates the identification and annotation of genes, proteins, chemicals, mutations, and diseases within scientific abstracts. Particularly useful in biological, biomedical, and chemical research, it provides structured data extraction essential for systematic analyses and database integration.
ChatPDF / Consensus
Links: chatpdf.com, consensus.app
AI-powered literature review assistants help students efficiently summarize research papers, extract key findings, and identify consensus insights from multiple documents, significantly reducing time spent on literature searches.