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Science (New York, N.Y.)|February 4, 2017
Data-driven predictions in the science of scienceAaron Clauset, Daniel B Larremore, Roberta SinatraScience Advances|May 17, 2017
The ground truth about metadata and community detection in networksLeto Peel, Daniel B Larremore, Aaron ClausetScience Advances|November 25, 2015
Systematic inequality and hierarchy in faculty hiring networksAaron Clauset, Samuel Arbesman, Daniel B LarremorePhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 15, 2014
Efficiently inferring community structure in bipartite networksDaniel B Larremore, Aaron Clauset, Abigail Z JacobsPlos Computational Biology|October 17, 2013
A network approach to analyzing highly recombinant malaria parasite genesDaniel B Larremore, Aaron Clauset, Caroline O BuckeeNature|September 21, 2022
Quantifying hierarchy and dynamics in US faculty hiring and retentionK Hunter Wapman, Sam Zhang, Aaron Clauset, et al.Elife|July 10, 2024
Gendered hiring and attrition on the path to parity for academic facultyNicholas LaBerge, Kenneth Hunter Wapman, Aaron Clauset, et al.Science Advances|November 18, 2022
Labor advantages drive the greater productivity of faculty at elite universitiesSam Zhang, K Hunter Wapman, Daniel B Larremore, et al.Proceedings of the National Academy of Sciences of the United States of America|October 19, 2017
The misleading narrative of the canonical faculty productivity trajectorySamuel F Way, Allison C Morgan, Aaron Clauset, et al.Proceedings of the National Academy of Sciences of the United States of America|May 1, 2019
Productivity, prominence, and the effects of academic environmentSamuel F Way, Allison C Morgan, Daniel B Larremore, et al.Pageof 12