My list of publications is also on Google Scholar.
Published
- Nicholas W. Landry, Jean-Gabriel Young, and Nicole Eikmeier, "The simpliciality of higher-order networks", EPJ Data Science (2024).
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- Nicholas W. Landry, Ilya Amburg, Mirah Shi, and Sinan G. Aksoy, "Filtering higher-order datasets", Journal of Physics: Complexity
(2024).
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- Nicholas W. Landry and Juan G. Restrepo, "Opinion disparity in hypergraphs with community structure", Physical Review E (2023).
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- Nicholas W. Landry, Maxime Lucas, Iacopo Iacopini, Giovanni Petri, Alice C. Schwarze, Alice Patania, and Leo Torres, "XGI: A Python package for higher-order interaction networks", Journal of Open Source Software (2023).
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- Nicholas W. Landry and jimi adams, "On limitations of uniplex networks for modeling multiplex contagion", PLoS ONE (2023).
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- Nicholas W. Landry and Juan G. Restrepo, "Hypergraph assortativity: a dynamical systems perspective", Chaos (2022).
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- Nicholas W. Landry, "Effect of time-dependent infectiousness on epidemic dynamics", Physical Review E (2021).
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- Nicholas W. Landry and Juan G. Restrepo, "The effect of heterogeneity on hypergraph contagion models", Chaos (2020).
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- Nicholas W. Landry and Marko Knezevic, "Delineation of First-Order Elastic Property Closures for Hexagonal Metals Using Fast Fourier Transforms", Materials (2015).
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- Marko Knezevic and Nicholas W. Landry, "Procedures for reducing large datasets of crystal orientations using generalized spherical harmonics", Mechanics of Materials (2015).
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- Marko Knezevic, Daniel J. Savage, and Nicholas W. Landry, "Towards Computationally Tractable Simulations of Metal Forming Processes With Evolving Microstructures", Proceedings of the ASME (2014).
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Preprints
- Nicholas W. Landry, Will Thompson, Laurent Hébert-Dufresne, and Jean-Gabriel Young, "Complex contagions can outperform simple contagions for network reconstruction with dense networks or saturated dynamics", (2024).
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Theses
- Nicholas W. Landry, "Contagion on Complex Systems: Structure and Dynamics", The University of Colorado at Boulder, PhD Thesis (2022).
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- Nicholas W. Landry, "Computationally Efficient Representation of Statistically Described Material Microstructure for Tractable Forming Simulations", The University of New Hampshire, Honors Thesis (2014).
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