Computing Education Research (CER), like any other discipline of science, is fundamentally driven by people and their networks of collaboration. Previous research has analysed authorship patterns and collaboration in distinct well known dissemination outlets of CER. In this chapter, we add to that approach by analysing a comprehensive set of metadata of CER publications. We analyse author productivity including newcomer patterns, clusters of co-authorship and international collaboration, and authors who build bridges between communities. Our results reveals top authors and their production before and after 2000, clusters of collaborators and their areas of topics as revealed by top keywords, a healthy evolution of newcomer-patterns, and a set of authors who build bridges between communities. In all, our macro-level analysis adds a significant contribution to our understanding of the role of authors in the evolution of CER.