The Uncapacitated Time-Space Fixed-Charge Network Flow Problem: An Empirical Investigation of Procedures for Arc Capacity Assignment. - Jeffery L. Kennington; Charles D. Nicholson (INFORMS J. Comput., 2010)

Optimal network flow: A predictive analytics perspective on the fixed-charge network flow problem. - Charles D. Nicholson; Weili Zhang (Comput. Ind. Eng., 2016)

Prediction-based relaxation solution approach for the fixed charge network flow problem. - Weili Zhang; Charles D. Nicholson (Comput. Ind. Eng., 2016)

Flow-based vulnerability measures for network component importance: Experimentation with preparedness planning. - Charles D. Nicholson; Kash Barker; Jose Emmanuel Ramirez-Marquez (Reliab. Eng. Syst. Saf., 2016)

Variable neighborhood search for reverse engineering of gene regulatory networks. - Charles D. Nicholson; Leslie Goodwin; Corey Clark (J. Biomed. Informatics, 2017)

A multi-criteria decision analysis approach for importance identification and ranking of network components. - Yasser Almoghathawi; Kash Barker; Claudio M. Rocco Sanseverino; Charles D. Nicholson (Reliab. Eng. Syst. Saf., 2017)

Mapping Network States using Connectivity Queries. - Alexander Rodríguez; Bijaya Adhikari; Andrés D. González; Charles D. Nicholson; Anil Vullikanti; B. Aditya Prakash (IEEE BigData, 2020)

Visual Analytics for Decision-Making During Pandemics. - Audrey Reinert; Luke S. Snyder; Jieqiong Zhao; Andrew S. Fox; Dean F. Hougen; Charles D. Nicholson; David S. Ebert (Comput. Sci. Eng., 2020)

Petrographic microfacies classification with deep convolutional neural networks. - Rafael Pires de Lima; David Duarte; Charles D. Nicholson; Roger Slatt; Kurt J. Marfurt (Comput. Geosci., 2020)

Objective scaling ensemble approach for integer linear programming. - Weili Zhang; Charles D. Nicholson (J. Heuristics, 2020)

Corrections to "Visual Analytics for Decision-Making During Pandemics". - Audrey Reinert; Luke S. Snyder; Jieqiong Zhao; Andrew S. Fox; Dean F. Hougen; Charles D. Nicholson; David S. Ebert (Comput. Sci. Eng., 2021)

Data-driven root cause analysis via causal discovery using time-to-event data. - Henry M. Mbogu; Charles D. Nicholson (Comput. Ind. Eng., 2024)

Hierarchical Time Series Forecasting of COVID-19 Cases Using County-Level Clustering Data. - Sonaxy Mohanty; Airi Shimamura; Charles D. Nicholson; Andrés D. González; Talayeh Razzaghi (Oper. Res. Forum, 2025)