Mapping the scientific network of patent and non-patent documents from chemical abstracts for a fast scientific analysis

Patent literature is a unique source of information. In research management, it is often important to compare the best research areas in which a fit exists between academic scientific production and applied research. Comparison between different sets of patents is also useful. The purpose of this paper is to provide a fast and efficient way to achieve this goal by automatically mapping the research network of the set of references to be examined.