Interactive Colormapping: Enabling Multiple Data Range and Detailed Views of Ocean Salinity. - Francesca Samsel; Sebastian Klaassen; Mark R. Petersen; Terece L. Turton; Gregory D. Abram; David H. Rogers 001; James P. Ahrens (CHI Extended Abstracts, 2016)

Video Compression for Ocean Simulation Image Databases. - Anne S. Berres; Terece L. Turton; Mark R. Petersen; David H. Rogers 001; James P. Ahrens (EnvirVis@EuroVis, 2017)

Intuitive Colormaps for Environmental Visualization. - Francesca Samsel; Terece L. Turton; Philip J. Wolfram; Roxana Bujack (EnvirVis@EuroVis, 2017)

A Crowdsourced Approach to Colormap Assessment. - Terece L. Turton; Colin Ware; Francesca Samsel; David H. Rogers 001 (EuroRV³@EuroVis, 2017)

Evaluating the Perceptual Uniformity of Color Sequences for Feature Discrimination. - Colin Ware; Terece L. Turton; Francesca Samsel; Roxana Bujack; David H. Rogers 001 (EuroRV³@EuroVis, 2017)

ETK: An Evaluation Toolkit for Visualization User Studies. - Terece L. Turton; Anne S. Berres; David H. Rogers 001; James P. Ahrens (EuroVis (Short Papers), 2017)

Ordering Perceptions about Perceptual Order. - Roxana Bujack; Terece L. Turton; David H. Rogers 001; James P. Ahrens (SciVis, 2018)

The Good, the Bad, and the Ugly: A Theoretical Framework for the Assessment of Continuous Colormaps. - Roxana Bujack; Terece L. Turton; Francesca Samsel; Colin Ware; David H. Rogers 001; James P. Ahrens (IEEE Trans. Vis. Comput. Graph., 2018)

Evaluating image quality measures to assess the impact of lossy data compression applied to climate simulation data. - Allison H. Baker; Dorit Hammerling; Terece L. Turton (Comput. Graph. Forum, 2019)

Measuring and Modeling the Feature Detection Threshold Functions of Colormaps. - Colin Ware; Terece L. Turton; Roxana Bujack; Francesca Samsel; Piyush Shrivastava; David H. Rogers 001 (IEEE Trans. Vis. Comput. Graph., 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)

Enabling Domain Expertise in Scientific Visualization With CinemaScience. - Terece L. Turton; Divya Banesh; Trinity Overmyer; Benjamin H. Sims; David H. Rogers 001; Theresa-Marie Rhyne (IEEE Computer Graphics and Applications, 2020)

In Situ Adaptive Spatio-Temporal Data Summarization. - Soumya Dutta; Humayra Tasnim; Terece L. Turton; James P. Ahrens (IEEE BigData, 2021)

Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis. - Matthew Larsen; Cyrus Harrison; Terece L. Turton; Sudhanshu Sane; Stephanie Brink; Hank Childs (LDAV, 2021)

Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case. - Ayan Biswas; James P. Ahrens; Soumya Dutta; Jordan M. Musser; Ann S. Almgren; Terece L. Turton (Comput. Sci. Eng., 2021)

A Confidence-Guided Technique for Tracking Time-Varying Features. - Soumya Dutta; Terece L. Turton; James P. Ahrens (Comput. Sci. Eng., 2021)

In Situ Analysis and Visualization of Extreme-Scale Particle Simulations. - Soumya Dutta; Dan Lipsa; Terece L. Turton; Berk Geveci; James P. Ahrens (ISC Workshops, 2022)

Exploration and Analysis of Image-base Simulation Ensembles. - Mai Dahshan; Terece L. Turton; Nicholas F. Polys (EuroVis (Posters), 2022)

Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data. - Jinzhen Wang; Pascal Grosset; Terece L. Turton; James P. Ahrens (DRBSD@SC, 2022)

In Situ Data Summaries for Flexible Feature Analysis in Large-Scale Multiphase Flow Simulations. - Soumya Dutta; Terece L. Turton; David H. Rogers 001; Jordan M. Musser; James P. Ahrens; Ann S. Almgren (CoRR, 2022)

Information-Theoretic Exploration of Multivariate Time-Varying Image Databases. - Humayra Tasnim; Soumya Dutta; Terece L. Turton; David H. Rogers 001; Melanie E. Moses (Comput. Sci. Eng., 2022)

In situ feature analysis for large-scale multiphase flow simulations. - Soumya Dutta; Terece L. Turton; David H. Rogers 001; Jordan M. Musser; James P. Ahrens; Ann S. Almgren (J. Comput. Sci., 2022)

An Exploration of How Volume Rendering is Impacted by Lossy Data Reduction. - Yanni Etchi; Daoce Wang; Pascal Grosset; Terece L. Turton; James P. Ahrens; David H. Rogers 001 (SC Workshops, 2024)

Efficient Computation of Geodesics in Color Space. - Roxana Bujack; Elektra Caffrey; Emily Teti; Terece L. Turton; David H. Rogers 001; Jonah M. Miller (IEEE Trans. Vis. Comput. Graph., 2024)

Human-machine partnerships at the exascale: exploring simulation ensembles through image databases. - Mai Dahshan; Nicholas F. Polys; Leanna House; Chris North 001; Ryan M. Pollyea; Terece L. Turton; David H. Rogers 001 (J. Vis., 2024)

The Geometry of Color in the Light of a Non-Riemannian Space. - Roxana Bujack; Emily N. Stark; Terece L. Turton; Jonah M. Miller; David H. Rogers 001 (Comput. Graph. Forum, 2025)

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)

The ECP SICM project: Managing complex memory hierarchies for exascale applications. - Roxana Bujack; Maya B. Gokhale; Latchesar Ionkov; Keita Iwabuchi; Michael R. Jantz; Terry R. Jones; Sumathi Lakshmiranganatha; Michael K. Lang; Jason Lee 004; Matthew Ben Olson; Scott Pakin; Roger Pearce; et al. (Int. J. High Perform. Comput. Appl., 2025)

VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization. - Ayan Biswas; Terece L. Turton; Nishath Rajiv Ranasinghe; Shawn M. Jones; Bradley Love; William M. Jones; Aric A. Hagberg; Han-Wei Shen; Nathan DeBardeleben; Earl Lawrence (CoRR, 2025)