activity
20152026
most citedHistorical comparison of gender inequality in scientific careers across countries and disciplines

978 citations · 1.1k across the 6 of their papers we have counts for

collaborators

8 papers

cs.IT2026

Finite-Resolution Information from Collision Statistics

Alexander J. Gates

Collision statistics provide a finite-resolution view of information by measuring how often a fixed number of independent samples fall on the same state. These directly countable q…

physics.soc-ph2022★ 1 cited

Mapping Philanthropic Support of Science

Louis M. Shekhtman, Alexander J. Gates, Albert-László Barabási

While philanthropic support for science has increased in the past decade, there is limited quantitative knowledge about the patterns that characterize it and the mechanisms that dr…

cs.DL2019★ 978 cited

Historical comparison of gender inequality in scientific careers across countries and disciplines

Junming Huang, Alexander J. Gates, Roberta Sinatra +1

There is extensive, yet fragmented, evidence of gender differences in academia suggesting that women are under-represented in most scientific disciplines, publish fewer articles th…

cs.OH2018★ 30 cited

CANA: A python package for quantifying control and canalization in Boolean Networks

Rion Brattig Correia, Alexander J. Gates, Xuan Wang +1

Logical models offer a simple but powerful means to understand the complex dynamics of biochemical regulation, without the need to estimate kinetic parameters. However, even simple…

stat.ML2017★ 118 cited

Element-centric clustering comparison unifies overlaps and hierarchy

Alexander J. Gates, Ian B. Wood, William P. Hetrick +1

Clustering is one of the most universal approaches for understanding complex data. A pivotal aspect of clustering analysis is quantitatively comparing clusterings; clustering compa…

stat.ML2017★ 10 cited

The Impact of Random Models on Clustering Similarity

Alexander J Gates, Yong-Yeol Ahn

Clustering is a central approach for unsupervised learning. After clustering is applied, the most fundamental analysis is to quantitatively compare clusterings. Such comparisons ar…