A visual research platform that accelerates literature discovery by generating interactive maps of academic papers based on their citation networks, helping researchers and scientists uncover relevant studies and track subject evolution.
Litmaps is a research discovery platform designed to help academics, scientists, and students explore scientific literature more effectively. It operates by visualizing the academic landscape, creating interactive maps of papers based on their citation networks and publication dates. The software is built for researchers, PhD students, and corporate R&D teams who need to conduct comprehensive and systematic literature reviews. Unlike traditional keyword-based search engines, Litmaps' unique value proposition is its visual, citation-based exploration method, which reveals connections and seminal works that might otherwise be missed. This approach accelerates the discovery process, helps ensure key articles are not overlooked, and allows users to automatically monitor their field for new, relevant publications.
Academic researchers, PhD and graduate students, scientists, corporate R&D teams, and anyone performing systematic literature reviews.
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300,000+
2019
Wellington, New Zealand
Litmaps Free
For students and light use. Includes 2 Litmaps, 1 Monitor feed, and up to 50 articles per map.
Free
Litmaps Pro
For individual researchers. Includes unlimited Litmaps, unlimited articles, unlimited Monitor feeds, and premium support. Billed annually at $120/year.
$10/mo
Litmaps for Teams
For labs, libraries, and companies. Includes all Pro features plus a shared team workspace, SSO, centralized billing, and custom onboarding.
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Also a visual literature mapping tool, it is often chosen for its free-for-researchers pricing model and highly interactive 'similar work' discovery engine.
This tool focuses on rapidly generating a single, static graph for a given origin paper, making it ideal for quickly exploring the immediate context of one specific article.
Offers a distinct advantage by analyzing citation context to classify them as supporting, mentioning, or contrasting, which is better for assessing a paper's true scientific dialogue.
A free, text-based alternative that also builds citation networks from seed papers to generate lists of important articles, authors, and journals in a given field.
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