Go Wide, Go Deep: Quantifying the Impact of Scientific Papers Through Influence Dispersion Trees

Despite a long history of the use of 'citation count' as a measure of scientific impact, the evolution of the follow-up work inspired by the paper and their interactions through citation links have rarely been explored to quantify how the paper enriches the depth and breadth of a research field. We propose a novel data structure, called Influence Dispersion Tree (IDT), to model the organization of follow-up papers and their dependencies through...