Munjung Kim 김문정

Characterizing individual research movements with simple rules—alignment, cohesion, and separation—drawing on the boids model of collective animal behavior.

Computing the disruption index of 3,237 U.S. AI patents (2015–2022) and linking them to job tasks to distinguish consolidating from disruptive AI innovations.

A continuous measure of disruptiveness based on neural embeddings that better distinguishes disruptive works, such as Nobel Prize–winning papers, from others.

Using neural embeddings to show that topic disparity is negatively associated with citation count—less conventional research tends to receive fewer citations.