SLIC: Scheduled Linear Image Compositing for Parallel Volume Rendering. - Aleksander Stompel; Kwan-Liu Ma; Eric B. Lum; James P. Ahrens; John Patchett (IEEE Symposium on Parallel and Large-Data Visualization and Graphics, 2003)

The ParaView Visualization Application. - Utkarsh Ayachit; Berk Geveci; Kenneth Moreland; John Patchett; Jim Ahrens (High Performance Visualization, 2012)

A Study of Ray Tracing Large-scale Scientific Data in Two Widely Used Parallel Visualization Applications. - Carson Brownlee; John Patchett; Li-Ta Lo; David E. DeMarle; Christopher Mitchell; James P. Ahrens; Charles D. Hansen (EGPGV@Eurographics, 2012)

Jitter-free co-processing on a prototype exascale storage stack. - John Bent; Sorin Faibish; Jim Ahrens; Gary Grider; John Patchett; Percy Tzelnic; Jon Woodring (MSST, 2012)

Interface Exchange as an Indicator for Eddy Heat Transport. - Sean Williams; Mark R. Petersen; Matthew Hecht; Mathew Maltrud; John Patchett; James P. Ahrens; Bernd Hamann (Comput. Graph. Forum, 2012)

A model for optimizing file access patterns using spatio-temporal parallelism. - Boonthanome Nouanesengsy; John Patchett; James P. Ahrens; Andrew C. Bauer; Aashish Chaudhary; Ross Miller; Berk Geveci; Galen M. Shipman; Dean N. Williams (UltraVis@SC, 2013)

Ultrascale Visualization of Climate Data. - Dean N. Williams; Peer-Timo Bremer; Charles M. Doutriaux; John Patchett; Sean Williams; Galen M. Shipman; Ross Miller; David Pugmire; Brian E. Smith; Chad A. Steed; E. Wes Bethel; Hank Childs; et al. (Computer, 2013)

ADR visualization: A generalized framework for ranking large-scale scientific data using Analysis-Driven Refinement. - Boonthanome Nouanesengsy; Jonathan Woodring; John Patchett; Kary L. Myers; James P. Ahrens (LDAV, 2014)

An Image-Based Approach to Extreme Scale in Situ Visualization and Analysis. - James P. Ahrens; Sébastien Jourdain; Patrick O'Leary; John Patchett; David H. Rogers 001; Mark R. Petersen (SC, 2014)

In Situ Eddy Analysis in a High-Resolution Ocean Climate Model. - Jonathan Woodring; Mark R. Petersen; Andre Schmeißer; John Patchett; James P. Ahrens; Hans Hagen (IEEE Trans. Vis. Comput. Graph., 2016)

Employing Color Theory to Visualize Volume-rendered Multivariate Ensembles of Asteroid Impact Simulations. - Francesca Samsel; David Honegger Rogers; John M. Patchett; Karen C. Tsai (CHI Extended Abstracts, 2017)

High-dimensional scientific data exploration via cinema. - Jonathan Woodring; James P. Ahrens; John Patchett; Cameron Tauxe; David H. Rogers 001 (DSIA, 2017)

Parallel multi-layer ghost cell generation for distributed unstructured grids. - John M. Patchett; Boonthanome Nouanesengsy; Joachim Pouderoux; James P. Ahrens; Hans Hagen (LDAV, 2017)

Extreme Event Analysis in Next Generation Simulation Architectures. - Stephen Hamilton; Randal C. Burns; Charles Meneveau; Perry Johnson; Peter Lindstrom 001; John Patchett; Alexander S. Szalay (ISC, 2017)

In Situ and Post Processing Workflows for Asteroid Ablation Studies. - John M. Patchett; Boonthanome Nouanesengsy; Galen Gisler; James P. Ahrens; Hans Hagen (EuroVis (Short Papers), 2017)

Delivering Supercomputing to the Ultrascale. - John Patchett (2017)

Optimizing Scientist Time through In Situ Visualization and Analysis. - John Patchett; James P. Ahrens (IEEE Computer Graphics and Applications, 2018)

Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations. - Qun Liu; Subhashis Hazarika; John M. Patchett; James Paul Ahrens; Ayan Biswas (CoRR, 2019)

Foresight: analysis that matters for data reduction. - Pascal Grosset; Christopher M. Biwer; Jesus Pulido; Arvind T. Mohan; Ayan Biswas; John Patchett; Terece L. Turton; David H. Rogers 001; Daniel Livescu; James P. Ahrens (SC, 2020)

A terminology for in situ visualization and analysis systems. - Hank Childs; Sean Ahern; James P. Ahrens; Andrew C. Bauer; Janine Bennett; E. Wes Bethel; Peer-Timo Bremer; Eric Brugger; Joseph Cottam; Matthieu Dorier; Soumya Dutta; Jean M. Favre; et al. (Int. J. High Perform. Comput. Appl., 2020)

Developing and Evaluating In Situ Visualization Algorithms using Containers. - Michael Will; Quincy Wofford; John Patchett; David H. Rogers 001; Jonas Lukasczyk; Christoph Garth (ISAV@SC, 2021)

Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition. - Jesus Pulido; John Patchett; Manish Bhattarai; Boian S. Alexandrov; James P. Ahrens (EuroVis (Short Papers), 2021)

Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis. - Ayan Biswas; Soumya Dutta; Earl Lawrence; John Patchett; Jon C. Calhoun; James P. Ahrens (IEEE Trans. Vis. Comput. Graph., 2021)

Accelerating Viz Pipelines Using Near-Data Computing: An Early Experience. - Qing Zheng; Brian Atkinson; Daoce Wang; Jason Lee 004; John Patchett; Dominic Manno; Gary Grider (SC Workshops, 2024)

The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale. - James P. Ahrens; Marco Arienti; Utkarsh Ayachit; Janine Bennett; Roba Binyahib; Ayan Biswas; Peer-Timo Bremer; Eric Brugger; Roxana Bujack; Hamish A. Carr; Jieyang Chen; Hank Childs; et al. (Int. J. High Perform. Comput. Appl., 2025)