We analyze publication patterns in theoretical high-energy physics using a relational learning approach. We focus on four related areas: understanding and identifying patterns of citations, examining publication patterns at the author level, predicting whether a paper will be accepted by specific journals, and identifying research communities from the citation patterns and paper text. Each of these analyses contributes to an overall understanding of theoretical high-energy physics.
['Amy McGovern', 'Lisa Friedland', 'Michael Hay', 'Brian Gallagher', 'Andrew S. Fast', 'Jennifer Neville', 'David D. Jensen']
Exploiting relational structure to understand publication patterns in high-energy physics