How to do a literature review: 5 minute guide with Litmaps

TL;DR

Start a Litmaps literature review by selecting one highly relevant seed article with many citations and references to maximize recommendation quality.

Briefing Cornell Notes

Briefing

A literature review can be built faster and kept current by starting with one well-cited “seed” paper and then expanding outward through citation-based connections—then organizing the growing set into a map you can monitor automatically. Litmaps is positioned as a workflow tool that turns literature search into a connected graph: each article becomes a node, and recommendations appear as linked suggestions that help researchers discover relevant work beyond the initial starting point.

The process begins by searching for a topic in the Litmaps app and selecting a single relevant article to launch the first Lit map. The key selection criterion is not just relevance, but citation density: choosing a paper with a significant number of citations and references increases the number and quality of recommendations Litmaps can generate. From that seed article, users open “Explore related articles on a new lip map,” then scan the sidebar for suggested papers. Clicking a suggestion reveals details and provides a direct path to the source page, letting researchers quickly verify whether each new paper fits the evolving review.

Expansion is iterative. If a recommended article is genuinely on-topic, users add it to the same Lit map using “more like this.” Each refresh then uses multiple input articles to drive the search algorithm, gradually growing the map to include a broader set of papers on the subject. The goal is to reach a comprehensive coverage of the research landscape by repeatedly feeding the system with newly confirmed relevant literature.

Organization is handled inside the map. Litmaps automatically saves the evolving collection of articles, and users can further refine structure by tagging papers into categories such as methodology or subtopics. Tags change the map’s visual grouping via color, making it easier to track how different themes relate across the literature. Users can also create a custom article and connect it to the existing set, effectively mapping how a new paper fits into the body of work already reviewed.

Visualization and analysis options help researchers interpret the network. By default, the map is ordered by publication date and citation count, but users can change the axes—for example, sorting by map connectivity—to identify which papers are most interconnected to the rest of the set. That connectivity view can highlight central works that anchor multiple strands of the literature.

Finally, Litmaps supports staying up to date through monitoring. After completing a review, researchers can enable automatic monitoring on the map homepage. Litmaps then reruns the map through its search algorithm every week and alerts users to newly published articles that match or connect to their mapped research area, reducing the risk of missing important developments between submission cycles.

Cornell Notes

Litmaps streamlines literature reviews by building a connected map of papers starting from one strong seed article. Selecting a paper with many citations and references yields more recommendations, which researchers can vet and add to the map using “more like this.” Repeated additions expand coverage, while tagging organizes papers by methodology or subtopics using color-coded categories. Users can adjust visualization (including sorting by map connectivity) to spot central, highly linked works. After the review is complete, automatic monitoring runs weekly to surface newly published papers that match or connect to the established map.

Why does Litmaps recommend starting a literature review with a single “seed” paper, and what makes a good seed?

The workflow is connection-based: Litmaps generates recommendations from the relationships in a chosen starting article. A strong seed typically has a significant number of citations and references, because that density gives Litmaps more material to draw connections from. In the example shown, an article with 53 references and 36 citations is treated as a great starting point because it produces a richer set of suggested papers.

How does a researcher expand coverage beyond the initial seed without losing control of relevance?

After launching a new Lit map from the seed article, the researcher reviews suggested papers in the sidebar and clicks into those that fit. When an added paper is truly relevant, the researcher uses “more like this” to incorporate it into the existing map. Each refresh then uses multiple input articles, so the recommendations become increasingly targeted to the evolving topic rather than drifting away.

What does the Lit map visualization communicate, and how is it used to navigate sources?

Each circle on the map represents an article. The dark shaded dot marks the input article(s), while hollow dots represent suggestions generated by Litmaps. Users can click suggestions to view more details and then click the title to jump directly to the source page, turning the map into a navigable index of candidate literature.

How can researchers keep a complex review organized as the map grows?

Litmaps supports organization through tagging. By selecting an article and using the tag option, researchers can assign categories such as methodology or subtopics. Tags apply color-coded differentiation on the map, helping users distinguish themes and track how different parts of the literature interact. The map also automatically saves the articles added over time.

What visualization change helps identify which papers are most central to the set?

Changing the axes can reveal different structural views. While the default ordering uses publication date and citation count, sorting by map connectivity highlights which articles are most interconnected to the rest of the papers in the map—useful for spotting anchor works that link multiple strands of research.

How does automatic monitoring reduce the risk of missing new literature after a review is finished?

On the map homepage, users can enable automatic monitoring. Litmaps then runs the map through its search algorithm every week and notifies users if newly published articles match or connect to the mapped research area. This supports ongoing coverage during the time between finishing a review and eventual publication.

Review Questions

What criteria should guide the choice of the first seed article in a connection-based literature review workflow?
Describe the iterative loop for expanding a Lit map and how refresh inputs change the recommendations.
How do tags and map connectivity sorting help interpret and manage a growing literature network?

Key Points

1
Start a Litmaps literature review by selecting one highly relevant seed article with many citations and references to maximize recommendation quality.
2
Use “Explore related articles on a new lip map” to generate connected suggestions, then click into candidates to confirm fit.
3
Grow coverage iteratively by adding confirmed relevant papers with “more like this,” so each refresh uses multiple inputs.
4
Keep the review organized by tagging articles into categories (e.g., methodology or subtopics), which applies color-coded structure.
5
Use visualization controls like sorting by map connectivity to identify central, highly interconnected papers.
6
Share the resulting Lit map via public URL, email, or export an image for use in blogs or publications.
7
Enable weekly automatic monitoring after finishing the review to surface newly published papers that match or connect to the mapped research area.

Highlights

Choosing a seed paper with strong citation and reference counts increases the number of recommendations Litmaps can generate.

Each time a researcher adds a relevant article and refreshes, the search algorithm uses multiple inputs, tightening recommendations to the topic.

Tagging creates color-coded subtopic clusters on the map, making large reviews easier to navigate.

Sorting by map connectivity helps reveal which papers sit at the center of the literature network.

Weekly automatic monitoring can keep a completed review from going stale as new papers appear.

Topics

Litmaps Literature Review
Seed Article Selection
Citation-Based Recommendations
Tagging and Organization
Map Connectivity and Monitoring