Top 5 Ways to Use Litmaps

Litmaps is positioned as a research workflow tool that turns citation networks into actionable reading lists—helping researchers find relevant papers faster, stay current, and structure a literature review without losing track. The core advantage is how it generates recommendations based on connections between papers (citations, references, and co-citations), then lets users click through suggestions to reach titles, abstracts, and source pages.

A first use case is article discovery for a literature review. Researchers start with Litmaps’ Quick Search on app.litmaps.com, either by entering a research topic or pasting a known paper’s details. After selecting one or more relevant starting articles, they use “Explore related articles” to generate a map where input papers appear in dark circles and recommended papers appear in hollow circles. By hovering and selecting suggested nodes, researchers can quickly judge relevance using titles and abstracts, then jump directly to the source page. A sidebar also provides transparency into how the algorithm produces recommendations.

Litmaps also supports “newer versions of older papers,” a common problem when a key article is slightly out of date. Users can search by DOI, run “Explore related articles,” and then apply a date filter to narrow results to recent publications—such as filtering to articles published after 2023 to surface work from the last year. The recommendations are driven by the older paper’s citation and reference relationships, so the newest literature is still anchored to the original topic.

Beyond finding papers, Litmaps is used to locate research gaps—areas with limited published literature or underexplored interdisciplinary intersections. The approach is to focus on regions of the map that have sparse coverage and to use visualizations that separate categories or topics, making “what’s missing” easier to spot.

For organization, Litmaps offers tagging and visual management. Researchers can save articles and apply tags based on subtopics, authors, or any scheme that matches their review structure. Visual layout options (including “open design”) allow users to move and categorize papers, while visualizations can help prioritize reading. One prioritization method ranks papers by “map relevance,” shifting from simple citation counts to a connectivity-based ranking that highlights papers most interconnected to the rest of the user’s map.

Finally, Litmaps helps prevent a literature review from going stale through automated monitoring. Using “Monitor,” researchers can enable weekly or monthly runs on an existing map. Litmaps then emails alerts when new, connected papers appear in the database, with optional filters such as a Target keyword filter to control what shows up in results. Together, these five workflows—discovery, recency checks, gap detection, organization, and ongoing updates—aim to keep a literature review both comprehensive and current.