Dimensions

CiteSpace allows users to analyze bibliographic records from Dimensions in two ways:
1. use the integrated search interface
2. use the data format conversion interface

The first option is flexible and suitable if you are familiar with the DSL query language. It is also the way to use Cascading Citation Expansion functions.
The second option is simple and straightforward. You should probably start it from here if you are not familiar with the DSL query language or do not need to use cascading citation expansion functions.

This is a network of co-cited references based on a search for "visual analytics" on Dimensions. The data file is exported in CSV and converted in CiteSpace: Data > Import/Export > Dimensions.

This is the same network with a link walkthrough. The highlighted links are added by articles published in 2018. The link walkthrough allows the user to step through the network one year at a time.

This is the timeline visualization. References with strong citation bursts are shown with red rings and their corresponding labels. The time flys from the left to the right.