The evolution of artificial intelligence
In this work, we use bibliometric analysis to quantify the evolution of citation patterns in AI research. We investigate how AI researchers build on research from other fields, but also how other fields build on AI research. The trends highlight interesting patterns, such as: the diminishing reliance on psychology and cognitive science, the growing role of industrial research labs, and the observation that the social and behavioral sciences are not keeping up with the volume of AI research.
Scientific writings
M. R. Frank, D. Wang, M. Cebrian, I. Rahwan (2019). The evolution of citation graphs in artificial intelligence research. Nature Machine Intelligence. 1, pages79–85
[paper, free read-only version] [Media: Kellogg Insight]