Open Knowledge Maps is a free, open-source visual discovery tool that maps research fields into topic-based knowledge maps.
Open Knowledge Maps turns literature search into visual exploration: enter a research question and it clusters papers by topic into an interactive map, so you can see the structure of a field at a glance. Built on open scholarly infrastructure (BASE, OpenAlex, PubMed), it is completely free and open source, with no commercial data harvesting. Each map is shareable and embeddable for teaching and collaboration, and the nonprofit behind it champions open science. It is especially valuable for scoping new research areas.
Enter a research question or keyword and choose a service (BASE, PubMed or OpenAlex) to build your map. Explore the clustered topics, zoom into relevant regions and share the map link with collaborators or students.
Open Knowledge Maps is completely free and open source, sustained by grants and donations rather than subscriptions.
Students, early-career researchers and educators scoping new fields or teaching literature discovery in an open-science context.
Yes. The service is entirely free and open source, with no paid tiers or usage caps.
As an open-source project, its code and data integrations are publicly available on GitHub for self-hosting and extension.
Compared with commercial literature tools, Open Knowledge Maps trades personalization features for zero cost, transparency and visual field overviews.
The tool prioritizes openness and field structure over personalization — results are as good as the underlying open databases. For individual reference management, pair it with a dedicated citation tool.
It builds maps on open scholarly infrastructure — BASE, OpenAlex and PubMed — aligning with its nonprofit open-science mission of keeping research discovery transparent and free.
Yes. Every map has a shareable link and can be embedded, which makes it useful for teaching literature discovery and for collaborative field exploration.
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