We developed a new method to generate automated taxonomies and visualizations of a scientific field.

The technique extracts keywords from abstracts and the citation network of papers in a topic.

Our approach uses network science interwoven with text analytics methods to build scientific maps.

We analyzed the data encompassing two scientific topics: photonic crystals and complex networks, resulting in several insights about the two fields.