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Map, Visualise and Discover More For Academic Literature Review, Full Tutorial, 2024 thumbnail

Map, Visualise and Discover More For Academic Literature Review, Full Tutorial, 2024

Artificial Intelligence Tools for Academics·
4 min read

Based on Artificial Intelligence Tools for Academics's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

Create a separate workspace for each research project to keep searches and results from mixing.

Briefing

Lit Maps is presented as a workflow for organizing academic papers, visualizing how they connect, and expanding a literature set using citation relationships. After signing in, users are encouraged to create separate workspaces for different projects so search results and collections don’t get mixed. Within a workspace, the Library area supports creating collections—containers for papers gathered for a specific review question.

The tutorial then walks through building a collection from scratch. Users search using a query such as “impact of climate change on human Mobility,” select a batch of results (the example selects 20 articles), and continue to add them into the new collection. From there, Lit Maps supports “seed” discovery: pick one article as the anchor and let the system find additional papers connected through citations. The example chooses a seed article with 334 citations by selecting the “citations” view for a relevant topic (future climate change and vector-borne diseases). The seed article’s metadata—authors, DOI, and abstract—appears so users can confirm it matches their review focus before generating the map.

Clicking the “seed map” button produces a citation network visualization. The seed article appears on the left side, while the articles that cite it appear on the right. Hovering or clicking an article reveals details such as references, “cited by” counts, and the abstract. A “source” option lets users navigate directly to the original source, helping researchers move from a visual overview to the underlying paper quickly. The core value is maintaining orientation while reading many papers: instead of losing track of which studies connect to which, the map makes inter-article relationships visible.

Beyond the citation map, Lit Maps also offers a “discover more” step to expand coverage beyond the initial search. Using a “discover 20 more related articles” action, the system returns additional papers related to the earlier query. Users can review each candidate’s abstract to decide whether it belongs in the collection, then add selected items via an “add search” action. The tutorial notes that the process can be repeated as needed, and that collections can be exported for import back into citation management tools (such as BibTeX-based workflows). The overall takeaway is a repeatable loop: search → collect → choose a seed → visualize citation links → discover related papers → curate into a collection → export for writing and referencing.

Cornell Notes

Lit Maps helps researchers build and manage a literature review by organizing papers into collections, then using citation networks to find additional relevant studies. Users create a workspace for each project, create a collection in the Library, and import results by searching and selecting articles (the tutorial example selects 20). A single “seed” article can be used to generate a seed map that shows which papers the seed cites and which papers cite the seed, with hover/click details like DOI, abstracts, and citation counts. Lit Maps also supports “discover more” to fetch additional related articles, which researchers can screen via abstracts before adding them to the collection. Export options allow moving curated lists back into citation managers.

Why create multiple workspaces and collections in Lit Maps before searching?

The tutorial recommends creating a separate workspace for each project so results stay organized. Inside a workspace, collections act as curated containers for papers tied to a specific review question. This prevents mixing unrelated searches and makes it easier to export or reuse a focused set later.

How does the “seed map” feature expand a literature set beyond the initial search results?

After selecting an initial batch of articles into a collection, users choose one article as the seed. Lit Maps then generates a citation-based map: the seed article appears as the anchor, with articles on one side that the seed cites and articles on the other side that cite the seed. This structure helps researchers discover connected work without manually tracking citation chains.

What information is available when selecting or inspecting a seed article?

When a seed article is selected, Lit Maps displays author information, the DOI (digital object identifier), and the abstract. The tutorial emphasizes reading the abstract to confirm the article fits the intended research focus before generating the map.

How do researchers decide whether “discover more” results should be added to a collection?

For additional related articles, Lit Maps returns candidates (the example uses “discover 20 more”). Users can open each candidate’s abstract and evaluate relevance. Only after that screening do they add the selected papers to the collection using an “add search” action.

What practical benefits does the citation network visualization provide during a literature review?

The visualization helps maintain orientation while reading many papers. By showing inter-article relationships, researchers can quickly see which studies connect to the seed and follow citation links. Hovering or clicking reveals references, “cited by” counts, abstracts, and a “source” option to navigate to the original material.

Review Questions

  1. What steps are needed to turn an initial search into a curated collection using Lit Maps?
  2. How does choosing a seed article change what Lit Maps returns compared with a simple keyword search?
  3. What screening information does Lit Maps provide (e.g., abstracts, citation counts, DOI) to help decide whether to add papers to a collection?

Key Points

  1. 1

    Create a separate workspace for each research project to keep searches and results from mixing.

  2. 2

    Use the Library to create collections that act as curated containers for papers tied to a specific review question.

  3. 3

    Search with targeted keywords, select a batch of results, and add them into a collection to start the literature set.

  4. 4

    Pick a single seed article and generate a seed map to find additional papers through citation relationships.

  5. 5

    Use hover/click details—DOI, authors, abstracts, references, and “cited by” counts—to verify relevance and track connections.

  6. 6

    Screen “discover more” candidates by reading abstracts before adding them to the collection.

  7. 7

    Export curated collections for import into citation management workflows that support BibTeX-style lists.

Highlights

Lit Maps’ seed map turns one highly relevant article into a structured citation network, showing both cited-by and citing relationships.
Hovering and clicking articles in the map surfaces actionable metadata—DOI, abstracts, reference links, and citation counts—so users can verify fit quickly.
The workflow combines citation-driven discovery (“seed map”) with query-driven expansion (“discover more”), then relies on abstract screening for curation.

Topics

Mentioned

  • Leonard Nak