ERICAs: Enabling insights into ab initio Molecular Dynamics simulations. - Kyle Wm. Hall; Edelsys Codorniu-Hernández; Peter G. Kusalik; Sheelagh Carpendale (PacificVis, 2015)

Algorithms for GPU-based molecular dynamics simulations of complex fluids: Applications to water, mixtures, and liquid crystals. - Sergey Kazachenko; Mark Giovinazzo; Kyle Wm. Hall; Natalie M. Cann (J. Comput. Chem., 2015)

Telling Stories about Dynamic Networks with Graph Comics. - Benjamin Bach; Natalie Kerracher; Kyle Wm. Hall; Sheelagh Carpendale; Jessie Kennedy; Nathalie Henry Riche (CHI, 2016)

Formalizing Emphasis in Information Visualization. - Kyle Wm. Hall; Charles Perin; Peter G. Kusalik; Carl Gutwin; Sheelagh Carpendale (Comput. Graph. Forum, 2016)

Design by Immersion: A Transdisciplinary Approach to Problem-Driven Visualizations. - Kyle Wm. Hall; Adam James Bradley; Uta Hinrichs; Samuel Huron; Jo Wood; Christopher Collins 001; Sheelagh Carpendale (IEEE Trans. Vis. Comput. Graph., 2020)

Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines. - Kyle Wm. Hall; Anthony Kouroupis; Anastasia Bezerianos; Danielle Albers Szafir; Christopher Collins 001 (IEEE Trans. Vis. Comput. Graph., 2022)

My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning. - Aimen Gaba; Zhanna Kaufman; Jason Cheung; Marie Shvakel; Kyle Wm. Hall; Yuriy Brun; Cindy Xiong Bearfield (IEEE Trans. Vis. Comput. Graph., 2024)

Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models. - Aimen Gaba; Emily Wall 001; Tejas Ramkumar Babu; Yuriy Brun; Kyle Wm. Hall; Cindy Xiong Bearfield (CoRR, 2025)