The topic map is an interactive data visualization that uses a cluster-based approach to map related topics.
Similar concepts are grouped together, revealing connections across diverse research domains.
You can investigate topics based on their relevance to a specific query or publication activity, identifying key areas of focus. The visualization highlights clusters, providing a broader context of related topics and facilitating in-depth analysis of research landscapes.

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The Topic map identifies and groups related keywords based on how often they appear together in publications.
‍Imagine the Topic Map like a puzzle. It pieces together keywords that frequently appear together, just as puzzle pieces fit together to form a complete picture. This helps you understand how different concepts are related.

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Navigate the Topic map

The Topic Map organizes topics into clusters.

• Clusters: Topics within a cluster share common themes or associations. To help you easily identify these groups, each cluster is assigned a unique color.
  Below the visualization, you will find the list of clusters. Clicking on a cluster, highlights them, allowing for easier exploration.
• Topics: Each topic is visualized as a dot with its label clearly displayed.
  By default, the size of each dot indicates the topic's relevance with respect to your query.
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Explore by relevance or publication activity

You can explore the Topic Map by selecting either relevance or publication activity (News, Patents, Research).
Your choice will determine the size of the dots. Larger dots indicate higher relevance or a greater number of publications.

Just select your focus from the dropdown menu next to the panel title.

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Adjust labels

For better readability, you can control the number of labels displayed on the Topic Map.
Simply use the slider located in the top right corner of the panel to increase or decrease the number of labels shown.

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Review publications

Clicking on a dot will open the reference section below the clusters.
Here you can access publications that connect to that topic, and bookmark them to your projects.