Strategic Management and Entrepreneurship Assistant Professor Russell Funk was named a runner-up for the Eugene Garfield Award for Innovation in Citation Analysis.
The Eugene Garfield Award is presented to early career researchers by Clarivate Analytics, a company recently spun off of Thomson Reuters. Garfield pioneered the practice of citation analysis and infometrics in the scholarly literature with the creation of the Science Citation Index, subsequently developing additional citation databases that changed how scientists find and assess scholarly literature. These databases now form the core of Clarivate Analytics’ Web of Science, which indexes the contents of the world’s premier scientific and scholarly journals and captures the most complete citation network between the publications within these journals
Funk, who has been at the Carlson School since 2014, focuses his research on two main areas: understanding collaboration dynamics in knowledge-intensive teams and developing novel measures of innovation using large-scale databases. His submission to the Garfield award focused on this second area, namely the application of citation data to novel measures of innovation.
He aims to overcome a gap with existing quantitative measures of innovation by developing indicators that distinguish innovations that consolidate (C) the status quo in a given technology area from those that destabilize (D) the knowledge base. In a paper published in Management Science in 2016, he and collaborator Jason Owen-Smith of the University of Michigan report on the development of the CD indicator using patent citation networks to determine if a discovery consolidates or destabilizes existing knowledge. Distinguishing between these different types of discovery allows companies, universities, and governments to better understand and facilitate innovations across a wide range of industries.
In his submission for the Garfield Award, Funk proposes using high-quality citation data within the Web of Science to apply the CD indicator to discoveries reported in scientific literature.